Initial commit

This commit is contained in:
Zhongwei Li
2025-11-29 18:20:25 +08:00
commit 0d6226e0d8
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#!/usr/bin/env python3
"""
============================================================================
SCRIPT: convention-recommender.py
PURPOSE: Generate project-specific commit convention recommendations
VERSION: 1.0.0
USAGE: ./convention-recommender.py --count N --branch BRANCH [--priority LEVEL]
RETURNS: JSON format with prioritized recommendations
EXIT CODES:
0 - Success
1 - Not a git repository
2 - No commit history
3 - Analysis failed
DEPENDENCIES: git, python3, style-analyzer.sh, pattern-detector.py, scope-extractor.sh
============================================================================
"""
import subprocess
import sys
import json
import argparse
import os
from typing import Dict, List, Tuple
def run_script(script_path: str, args: List[str]) -> Tuple[int, str]:
"""Execute a script and return exit code and output."""
try:
cmd = [script_path] + args
result = subprocess.run(
cmd,
capture_output=True,
text=True,
check=False,
cwd=os.path.dirname(script_path)
)
return result.returncode, result.stdout.strip()
except Exception as e:
return 1, json.dumps({'error': str(e)})
def gather_analysis_data(count: int, branch: str, scripts_dir: str) -> Dict:
"""Gather all analysis data from other scripts."""
data = {}
# Run style-analyzer.sh
style_script = os.path.join(scripts_dir, 'style-analyzer.sh')
code, output = run_script(style_script, [str(count), branch])
if code == 0:
try:
data['style'] = json.loads(output)
except json.JSONDecodeError:
data['style'] = {}
# Run pattern-detector.py
pattern_script = os.path.join(scripts_dir, 'pattern-detector.py')
code, output = run_script(pattern_script, [
'--count', str(count),
'--branch', branch
])
if code == 0:
try:
data['patterns'] = json.loads(output)
except json.JSONDecodeError:
data['patterns'] = {}
# Run scope-extractor.sh
scope_script = os.path.join(scripts_dir, 'scope-extractor.sh')
code, output = run_script(scope_script, [
'--count', str(count),
'--branch', branch,
'--min-frequency', '2'
])
if code == 0:
try:
data['scopes'] = json.loads(output)
except json.JSONDecodeError:
data['scopes'] = {}
return data
def generate_recommendations(data: Dict, priority_filter: str) -> Dict:
"""Generate prioritized recommendations based on analysis data."""
recommendations = {
'high_priority': [],
'medium_priority': [],
'low_priority': []
}
style = data.get('style', {}).get('project_style', {})
patterns = data.get('patterns', {})
scopes = data.get('scopes', {})
# HIGH PRIORITY RECOMMENDATIONS
# 1. Conventional commits adoption
conv_pct = style.get('conventional_commits_percentage', 0)
if conv_pct < 50:
recommendations['high_priority'].append({
'id': 1,
'title': 'Adopt Conventional Commits Format',
'status': 'needs_improvement',
'current_usage': conv_pct,
'target_usage': 80,
'action': 'Migrate to conventional commits format: <type>(<scope>): <subject>',
'benefit': 'Enables automated changelog, semantic versioning, and better git history',
'priority': 'high',
'examples': [
'feat(auth): implement OAuth2 authentication',
'fix(api): handle null pointer in user endpoint',
'docs: update API documentation'
]
})
elif conv_pct < 80:
recommendations['medium_priority'].append({
'id': 1,
'title': 'Increase Conventional Commits Usage',
'status': 'moderate',
'current_usage': conv_pct,
'target_usage': 90,
'action': 'Encourage team to use conventional commits consistently',
'benefit': 'Better consistency and tooling support',
'priority': 'medium'
})
else:
recommendations['high_priority'].append({
'id': 1,
'title': 'Continue Using Conventional Commits',
'status': 'good',
'current_usage': conv_pct,
'target_usage': 90,
'action': 'Maintain current practice',
'benefit': 'Already well-adopted, enables automation',
'priority': 'high'
})
# 2. Subject line length
avg_length = style.get('average_subject_length', 0)
if avg_length > 60:
recommendations['high_priority'].append({
'id': 2,
'title': 'Reduce Subject Line Length',
'status': 'needs_improvement',
'current_value': avg_length,
'target_value': 50,
'action': 'Keep subject lines under 50 characters',
'benefit': 'Better readability in git log, GitHub UI, and terminal',
'priority': 'high'
})
elif avg_length > 50:
recommendations['medium_priority'].append({
'id': 2,
'title': 'Optimize Subject Line Length',
'status': 'moderate',
'current_value': avg_length,
'target_value': 50,
'action': 'Aim for concise subject lines (under 50 chars)',
'priority': 'medium'
})
# 3. Imperative mood
imperative_pct = style.get('imperative_mood_percentage', 0)
if imperative_pct < 80:
recommendations['high_priority'].append({
'id': 3,
'title': 'Use Imperative Mood Consistently',
'status': 'needs_improvement',
'current_usage': imperative_pct,
'target_usage': 90,
'action': 'Use imperative mood: "add" not "added", "fix" not "fixed"',
'benefit': 'Clearer, more professional commit messages',
'priority': 'high',
'examples': [
'✓ add user authentication',
'✗ added user authentication',
'✓ fix null pointer exception',
'✗ fixed null pointer exception'
]
})
# MEDIUM PRIORITY RECOMMENDATIONS
# 4. Body usage
body_pct = style.get('has_body_percentage', 0)
if body_pct < 50:
recommendations['medium_priority'].append({
'id': 4,
'title': 'Increase Body Usage for Complex Changes',
'status': 'low',
'current_usage': body_pct,
'target_usage': 50,
'action': 'Add commit body for non-trivial changes (>3 files, complex logic)',
'benefit': 'Better context for code review and future reference',
'priority': 'medium',
'when_to_use': [
'Multiple files changed (>3)',
'Complex logic modifications',
'Breaking changes',
'Security-related changes'
]
})
# 5. Issue references
issue_pct = style.get('references_issues_percentage', 0)
if issue_pct > 50:
recommendations['medium_priority'].append({
'id': 5,
'title': 'Continue Issue Referencing Practice',
'status': 'good',
'current_usage': issue_pct,
'action': 'Maintain consistent issue references',
'benefit': 'Excellent traceability between commits and issues',
'priority': 'medium'
})
elif issue_pct > 25:
recommendations['medium_priority'].append({
'id': 5,
'title': 'Increase Issue References',
'status': 'moderate',
'current_usage': issue_pct,
'target_usage': 60,
'action': 'Reference related issues: "Closes #123", "Fixes #456", "Refs #789"',
'benefit': 'Better traceability',
'priority': 'medium'
})
# LOW PRIORITY RECOMMENDATIONS
# 6. Scope standardization
scope_count = scopes.get('total_scopes', 0)
if scope_count > 0:
top_scopes = scopes.get('scopes', [])[:5]
scope_names = [s['name'] for s in top_scopes]
recommendations['medium_priority'].append({
'id': 6,
'title': 'Use Standard Project Scopes',
'status': 'good',
'action': f'Use these common scopes: {", ".join(scope_names)}',
'benefit': 'Consistent scope usage across team',
'priority': 'medium',
'scopes': scope_names
})
# 7. Co-author attribution
recommendations['low_priority'].append({
'id': 7,
'title': 'Consider Co-Author Attribution',
'status': 'optional',
'action': 'Add co-authors for pair programming: Co-authored-by: Name <email>',
'benefit': 'Team recognition and contribution tracking',
'priority': 'low',
'example': 'Co-authored-by: Jane Doe <jane@example.com>'
})
# 8. Breaking change documentation
recommendations['low_priority'].append({
'id': 8,
'title': 'Document Breaking Changes',
'status': 'important',
'action': 'Use BREAKING CHANGE: footer when applicable',
'benefit': 'Clear communication of breaking changes for semantic versioning',
'priority': 'low',
'example': 'BREAKING CHANGE: API now requires OAuth tokens instead of API keys'
})
# Filter by priority if specified
if priority_filter and priority_filter != 'all':
priority_key = f'{priority_filter}_priority'
filtered = {priority_key: recommendations.get(priority_key, [])}
return filtered
return recommendations
def generate_style_guide(data: Dict) -> Dict:
"""Generate project-specific style guide."""
style = data.get('style', {}).get('project_style', {})
scopes_data = data.get('scopes', {})
# Extract common types
common_types = style.get('common_types', [])
types_sorted = sorted(common_types, key=lambda x: x.get('count', 0), reverse=True)
# Extract common scopes
scopes = scopes_data.get('scopes', [])[:10]
# Build style guide
return {
'format': '<type>(<scope>): <subject>',
'max_subject_length': 50,
'body_wrap': 72,
'types': [
{
'name': t.get('type', 'unknown'),
'percentage': t.get('percentage', 0),
'description': get_type_description(t.get('type', 'unknown'))
}
for t in types_sorted
],
'scopes': [
{
'name': s.get('name', 'unknown'),
'percentage': s.get('percentage', 0),
'description': s.get('description', 'Unknown'),
'category': s.get('category', 'other')
}
for s in scopes
],
'rules': [
'Use imperative mood ("add" not "added")',
'Capitalize first letter of subject',
'No period at end of subject line',
'Use lowercase for scopes',
'Wrap body at 72 characters',
'Separate body and footer with blank line',
'Use bullet points in body',
'Reference issues when applicable'
]
}
def get_type_description(type_name: str) -> str:
"""Get description for commit type."""
descriptions = {
'feat': 'New features',
'fix': 'Bug fixes',
'docs': 'Documentation changes',
'style': 'Formatting changes (no code change)',
'refactor': 'Code restructuring',
'perf': 'Performance improvements',
'test': 'Test additions/updates',
'build': 'Build system changes',
'ci': 'CI/CD changes',
'chore': 'Maintenance tasks',
'revert': 'Revert previous commit'
}
return descriptions.get(type_name, 'Other changes')
def calculate_confidence(data: Dict) -> str:
"""Calculate confidence level of recommendations."""
commits_analyzed = data.get('style', {}).get('project_style', {}).get('commits_analyzed', 0)
if commits_analyzed >= 100:
return 'high'
elif commits_analyzed >= 50:
return 'medium'
elif commits_analyzed >= 20:
return 'low'
else:
return 'very_low'
def main():
parser = argparse.ArgumentParser(description='Generate convention recommendations')
parser.add_argument('--count', type=int, default=50, help='Number of commits to analyze')
parser.add_argument('--branch', default='HEAD', help='Branch to analyze')
parser.add_argument('--priority', choices=['high', 'medium', 'low', 'all'], default='all',
help='Filter by priority level')
args = parser.parse_args()
# Get scripts directory
scripts_dir = os.path.dirname(os.path.abspath(__file__))
# Gather analysis data
data = gather_analysis_data(args.count, args.branch, scripts_dir)
if not data:
print(json.dumps({'error': 'Failed to gather analysis data'}), file=sys.stderr)
sys.exit(3)
# Generate recommendations
recommendations = generate_recommendations(data, args.priority)
# Generate style guide
style_guide = generate_style_guide(data)
# Calculate confidence
confidence = calculate_confidence(data)
# Calculate consistency score
consistency_score = data.get('patterns', {}).get('consistency_score', 0)
# Build output
output = {
'commits_analyzed': data.get('style', {}).get('project_style', {}).get('commits_analyzed', 0),
'branch': args.branch,
'consistency_score': consistency_score,
'confidence': confidence,
'recommendations': recommendations,
'style_guide': style_guide,
'automation': {
'commitlint': True,
'changelog_generator': 'standard-version',
'semantic_release': True
}
}
# Output JSON
print(json.dumps(output, indent=2))
sys.exit(0)
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
============================================================================
SCRIPT: pattern-detector.py
PURPOSE: Detect commit message patterns and conventions from git history
VERSION: 1.0.0
USAGE: ./pattern-detector.py --count N --branch BRANCH [--detailed]
RETURNS: JSON format with pattern detection results
EXIT CODES:
0 - Success
1 - Not a git repository
2 - No commit history
3 - Git command failed
DEPENDENCIES: git, python3
============================================================================
"""
import subprocess
import sys
import json
import re
import argparse
from collections import defaultdict
from typing import Dict, List, Tuple
def run_git_command(cmd: List[str]) -> Tuple[int, str]:
"""Execute git command and return exit code and output."""
try:
result = subprocess.run(
cmd,
capture_output=True,
text=True,
check=False
)
return result.returncode, result.stdout.strip()
except Exception as e:
return 1, str(e)
def is_git_repository() -> bool:
"""Check if current directory is a git repository."""
code, _ = run_git_command(['git', 'rev-parse', '--git-dir'])
return code == 0
def has_commits() -> bool:
"""Check if repository has any commits."""
code, _ = run_git_command(['git', 'log', '-1'])
return code == 0
def get_commits(count: int, branch: str) -> List[Dict[str, str]]:
"""Fetch commit messages from git log."""
code, output = run_git_command([
'git', 'log',
f'-{count}',
branch,
'--format=%H%n%s%n%b%n---COMMIT_SEPARATOR---'
])
if code != 0:
return []
commits = []
lines = output.split('\n')
i = 0
while i < len(lines):
if i + 1 >= len(lines):
break
commit_hash = lines[i]
subject = lines[i + 1] if i + 1 < len(lines) else ""
# Find body (lines until separator)
body_lines = []
i += 2
while i < len(lines) and lines[i] != '---COMMIT_SEPARATOR---':
if lines[i].strip(): # Skip empty lines at start
body_lines.append(lines[i])
i += 1
body = '\n'.join(body_lines).strip()
commits.append({
'hash': commit_hash,
'subject': subject,
'body': body,
'full': subject + '\n\n' + body if body else subject
})
i += 1 # Skip separator
return commits
def is_conventional_commit(subject: str) -> bool:
"""Check if commit follows conventional commits format."""
pattern = r'^[a-z]+(\([^)]+\))?: .+'
return bool(re.match(pattern, subject))
def has_prefix(subject: str) -> bool:
"""Check if commit has prefix format like [PREFIX]."""
pattern = r'^\[[^\]]+\]'
return bool(re.match(pattern, subject))
def has_tag(subject: str) -> bool:
"""Check if commit starts with tag like #tag."""
return subject.startswith('#')
def is_imperative_mood(subject: str) -> bool:
"""
Check if subject uses imperative mood.
Simple heuristic: starts with common imperative verbs.
"""
# Extract first word after type/scope if conventional
words = subject.lower()
if ':' in words:
words = words.split(':', 1)[1].strip()
# Common imperative verbs and their non-imperative forms to avoid
imperative_verbs = [
'add', 'fix', 'update', 'remove', 'delete', 'create', 'implement',
'change', 'improve', 'optimize', 'refactor', 'enhance', 'correct',
'resolve', 'merge', 'bump', 'revert', 'document', 'upgrade',
'downgrade', 'rename', 'move', 'replace', 'extract', 'simplify'
]
# Non-imperative indicators
non_imperative = ['added', 'fixed', 'updated', 'removed', 'deleted',
'created', 'implemented', 'changed', 'improved',
'adding', 'fixing', 'updating']
first_word = words.split()[0] if words.split() else ""
if first_word in non_imperative:
return False
return first_word in imperative_verbs
def is_capitalized(subject: str) -> bool:
"""Check if subject is properly capitalized."""
# Extract text after type/scope if conventional
text = subject
if ':' in text:
text = text.split(':', 1)[1].strip()
return text[0].isupper() if text else False
def has_no_period_end(subject: str) -> bool:
"""Check if subject doesn't end with period."""
return not subject.endswith('.')
def has_blank_line_before_body(full_message: str) -> bool:
"""Check if there's a blank line between subject and body."""
lines = full_message.split('\n')
if len(lines) < 3:
return True # No body or only one line body
# Check if second line is empty
return lines[1].strip() == ''
def is_body_wrapped(body: str, max_width: int = 72) -> bool:
"""Check if body lines are wrapped at max_width."""
if not body:
return True
lines = body.split('\n')
for line in lines:
# Allow bullet points and URLs to exceed limit
if line.strip().startswith(('-', '*', '', 'http://', 'https://')):
continue
if len(line) > max_width:
return False
return True
def has_footer(full_message: str) -> bool:
"""Check if commit has footer (BREAKING CHANGE, issue refs, etc.)."""
footer_patterns = [
r'BREAKING CHANGE:',
r'Closes #\d+',
r'Fixes #\d+',
r'Refs #\d+',
r'Co-authored-by:',
r'Signed-off-by:'
]
for pattern in footer_patterns:
if re.search(pattern, full_message):
return True
return False
def references_issues(full_message: str) -> bool:
"""Check if commit references issues."""
pattern = r'#\d+|[Cc]loses|[Ff]ixes|[Rr]efs'
return bool(re.search(pattern, full_message))
def mentions_breaking(full_message: str) -> bool:
"""Check if commit mentions breaking changes."""
return 'BREAKING CHANGE:' in full_message or 'BREAKING-CHANGE:' in full_message
def has_co_authors(full_message: str) -> bool:
"""Check if commit has co-authors."""
return 'Co-authored-by:' in full_message
def is_signed_off(full_message: str) -> bool:
"""Check if commit is signed off."""
return 'Signed-off-by:' in full_message
def includes_rationale(body: str) -> bool:
"""Check if body includes rationale (why/because/to/for)."""
if not body:
return False
words = ['because', 'to ', 'for ', 'why', 'since', 'as ', 'in order to']
body_lower = body.lower()
return any(word in body_lower for word in words)
def mentions_impact(body: str) -> bool:
"""Check if body mentions impact."""
if not body:
return False
words = ['affect', 'impact', 'change', 'improve', 'break', 'fix']
body_lower = body.lower()
return any(word in body_lower for word in words)
def analyze_patterns(commits: List[Dict[str, str]]) -> Dict:
"""Analyze commit patterns and return results."""
total = len(commits)
# Initialize counters
patterns = {
'format': defaultdict(int),
'conventions': defaultdict(int),
'content': defaultdict(int)
}
# Count commits with bodies (for calculations)
commits_with_body = 0
for commit in commits:
subject = commit['subject']
body = commit['body']
full = commit['full']
# Format patterns
if is_conventional_commit(subject):
patterns['format']['conventional_commits'] += 1
elif has_prefix(subject):
patterns['format']['prefixed'] += 1
elif has_tag(subject):
patterns['format']['tagged'] += 1
else:
patterns['format']['simple_subject'] += 1
# Convention patterns
if is_imperative_mood(subject):
patterns['conventions']['imperative_mood'] += 1
if is_capitalized(subject):
patterns['conventions']['capitalized_subject'] += 1
if has_no_period_end(subject):
patterns['conventions']['no_period_end'] += 1
if body:
commits_with_body += 1
if has_blank_line_before_body(full):
patterns['conventions']['blank_line_before_body'] += 1
if is_body_wrapped(body):
patterns['conventions']['wrapped_body'] += 1
if has_footer(full):
patterns['conventions']['has_footer'] += 1
# Content patterns
if references_issues(full):
patterns['content']['references_issues'] += 1
if mentions_breaking(full):
patterns['content']['mentions_breaking'] += 1
if has_co_authors(full):
patterns['content']['has_co_authors'] += 1
if is_signed_off(full):
patterns['content']['signed_off'] += 1
if includes_rationale(body):
patterns['content']['includes_rationale'] += 1
if mentions_impact(body):
patterns['content']['mentions_impact'] += 1
# Calculate percentages and strength
def calc_percentage(count, denominator=total):
return round((count / denominator * 100), 1) if denominator > 0 else 0
def get_strength(percentage):
if percentage >= 95:
return "perfect"
elif percentage >= 80:
return "strong"
elif percentage >= 65:
return "dominant"
elif percentage >= 45:
return "common"
elif percentage >= 25:
return "moderate"
elif percentage >= 10:
return "occasional"
elif percentage >= 1:
return "rare"
else:
return "absent"
# Build results
results = {
'format': {},
'conventions': {},
'content': {}
}
for category, counters in patterns.items():
for pattern_name, count in counters.items():
# Use commits_with_body as denominator for body-specific patterns
if pattern_name in ['blank_line_before_body', 'wrapped_body']:
denominator = commits_with_body
else:
denominator = total
percentage = calc_percentage(count, denominator)
results[category][pattern_name] = {
'count': count,
'percentage': percentage,
'strength': get_strength(percentage)
}
# Calculate consistency score
# Weight: format(40), conventions(40), content(20)
format_score = results['format'].get('conventional_commits', {}).get('percentage', 0)
convention_scores = [
results['conventions'].get('imperative_mood', {}).get('percentage', 0),
results['conventions'].get('capitalized_subject', {}).get('percentage', 0),
results['conventions'].get('no_period_end', {}).get('percentage', 0)
]
avg_convention = sum(convention_scores) / len(convention_scores) if convention_scores else 0
content_scores = [
results['content'].get('references_issues', {}).get('percentage', 0),
results['content'].get('includes_rationale', {}).get('percentage', 0)
]
avg_content = sum(content_scores) / len(content_scores) if content_scores else 0
consistency_score = int(format_score * 0.4 + avg_convention * 0.4 + avg_content * 0.2)
# Determine dominant pattern
format_patterns = results['format']
dominant_pattern = max(format_patterns.items(), key=lambda x: x[1]['count'])[0] if format_patterns else "unknown"
return {
'commits_analyzed': total,
'patterns': results,
'consistency_score': consistency_score,
'dominant_pattern': dominant_pattern
}
def main():
parser = argparse.ArgumentParser(description='Detect commit message patterns')
parser.add_argument('--count', type=int, default=50, help='Number of commits to analyze')
parser.add_argument('--branch', default='HEAD', help='Branch to analyze')
parser.add_argument('--detailed', action='store_true', help='Include detailed breakdown')
args = parser.parse_args()
# Validate git repository
if not is_git_repository():
print(json.dumps({'error': 'Not in a git repository'}), file=sys.stderr)
sys.exit(1)
if not has_commits():
print(json.dumps({'error': 'No commit history found'}), file=sys.stderr)
sys.exit(2)
# Fetch commits
commits = get_commits(args.count, args.branch)
if not commits:
print(json.dumps({'error': 'Failed to fetch commits'}), file=sys.stderr)
sys.exit(3)
# Analyze patterns
results = analyze_patterns(commits)
results['branch'] = args.branch
results['detailed'] = args.detailed
# Output JSON
print(json.dumps(results, indent=2))
sys.exit(0)
if __name__ == '__main__':
main()

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#!/bin/bash
# ============================================================================
# SCRIPT: scope-extractor.sh
# PURPOSE: Extract and analyze scopes from commit messages
# VERSION: 1.0.0
# USAGE: ./scope-extractor.sh --count N --branch BRANCH [--min-frequency N]
# RETURNS: JSON format with scope analysis results
# EXIT CODES:
# 0 - Success
# 1 - Not a git repository
# 2 - No commit history
# 3 - Git command failed
# DEPENDENCIES: git, jq (optional)
# ============================================================================
# Parse command line arguments
COUNT=50
BRANCH="HEAD"
MIN_FREQUENCY=2
while [[ $# -gt 0 ]]; do
case $1 in
--count)
COUNT="$2"
shift 2
;;
--branch)
BRANCH="$2"
shift 2
;;
--min-frequency)
MIN_FREQUENCY="$2"
shift 2
;;
*)
shift
;;
esac
done
# Validate git repository
if ! git rev-parse --git-dir >/dev/null 2>&1; then
echo '{"error": "Not in a git repository"}' >&2
exit 1
fi
# Check if commits exist
if ! git log -1 >/dev/null 2>&1; then
echo '{"error": "No commit history found"}' >&2
exit 2
fi
# Get commit subjects
SUBJECTS=$(git log --format='%s' -"$COUNT" "$BRANCH" 2>/dev/null)
if [ $? -ne 0 ]; then
echo '{"error": "Failed to fetch git log"}' >&2
exit 3
fi
# Create temporary files for processing
TEMP_SCOPES=$(mktemp)
TEMP_RESULTS=$(mktemp)
# Clean up temp files on exit
trap "rm -f $TEMP_SCOPES $TEMP_RESULTS" EXIT
# Extract scopes from conventional commit format: type(scope): subject
# Also handle nested scopes: type(parent/child): subject
# And multi-scopes: type(scope1,scope2): subject
TOTAL_COMMITS=$(echo "$SUBJECTS" | wc -l)
SCOPED_COMMITS=0
while IFS= read -r subject; do
[ -z "$subject" ] && continue
# Match conventional commit with scope: type(scope): subject
if echo "$subject" | grep -qE '^[a-z]+\([^)]+\): '; then
((SCOPED_COMMITS++))
# Extract scope(s) - everything between parentheses
SCOPE_PART=$(echo "$subject" | sed -E 's/^[a-z]+\(([^)]+)\): .*/\1/')
# Handle multiple scopes (comma or space separated)
# Split by comma and/or space
echo "$SCOPE_PART" | tr ',' '\n' | tr ' ' '\n' | while read -r scope; do
scope=$(echo "$scope" | xargs) # Trim whitespace
[ -n "$scope" ] && echo "$scope" >> "$TEMP_SCOPES"
done
fi
done <<< "$SUBJECTS"
# Count scope frequencies
if [ ! -s "$TEMP_SCOPES" ]; then
# No scopes found
cat << EOF
{
"total_scopes": 0,
"scoped_commits": 0,
"scoped_percentage": 0,
"scopes": [],
"message": "No scopes detected in commit history"
}
EOF
exit 0
fi
# Sort and count unique scopes
SCOPE_COUNTS=$(sort "$TEMP_SCOPES" | uniq -c | sort -rn)
# Calculate scoped percentage
SCOPED_PCT=$(echo "scale=1; $SCOPED_COMMITS * 100 / $TOTAL_COMMITS" | bc -l)
# Build JSON output
echo "{" > "$TEMP_RESULTS"
echo " \"commits_analyzed\": $TOTAL_COMMITS," >> "$TEMP_RESULTS"
echo " \"scoped_commits\": $SCOPED_COMMITS," >> "$TEMP_RESULTS"
echo " \"scoped_percentage\": $SCOPED_PCT," >> "$TEMP_RESULTS"
echo " \"branch\": \"$BRANCH\"," >> "$TEMP_RESULTS"
# Count unique scopes
UNIQUE_SCOPES=$(echo "$SCOPE_COUNTS" | wc -l)
echo " \"total_scopes\": $UNIQUE_SCOPES," >> "$TEMP_RESULTS"
# Build scopes array
echo " \"scopes\": [" >> "$TEMP_RESULTS"
FIRST=true
while read -r count scope; do
# Skip if below min frequency
[ "$count" -lt "$MIN_FREQUENCY" ] && continue
# Calculate percentage
PCT=$(echo "scale=1; $count * 100 / $SCOPED_COMMITS" | bc -l)
# Determine if hierarchical (contains /)
HIERARCHY="null"
PARENT=""
CHILD=""
if echo "$scope" | grep -q '/'; then
PARENT=$(echo "$scope" | cut -d'/' -f1)
CHILD=$(echo "$scope" | cut -d'/' -f2)
HIERARCHY="\"$PARENT/$CHILD\""
fi
# Categorize scope
CATEGORY="other"
DESCRIPTION="Other"
case "$scope" in
auth|security|login|oauth|session)
CATEGORY="feature"
DESCRIPTION="Authentication and authorization"
;;
api|endpoint|backend|server|middleware)
CATEGORY="backend"
DESCRIPTION="API and backend services"
;;
ui|component|style|frontend|view)
CATEGORY="ui"
DESCRIPTION="User interface"
;;
db|database|schema|migration|query)
CATEGORY="backend"
DESCRIPTION="Database operations"
;;
docs|readme|changelog|guide)
CATEGORY="documentation"
DESCRIPTION="Documentation"
;;
test|e2e|unit|integration|spec)
CATEGORY="testing"
DESCRIPTION="Testing"
;;
ci|cd|deploy|docker|k8s|pipeline)
CATEGORY="infrastructure"
DESCRIPTION="Infrastructure and deployment"
;;
config|settings|env)
CATEGORY="configuration"
DESCRIPTION="Configuration"
;;
core|utils|lib|common)
CATEGORY="core"
DESCRIPTION="Core functionality"
;;
esac
# Check if active (used in recent commits - last 10)
RECENT_USAGE=$(git log --format='%s' -10 "$BRANCH" 2>/dev/null | grep -c "($scope)" || echo "0")
ACTIVE="true"
[ "$RECENT_USAGE" -eq 0 ] && ACTIVE="false"
# Get example commits
EXAMPLES=$(git log --format='%s' --grep="($scope)" -3 "$BRANCH" 2>/dev/null | \
awk '{printf "\"%s\",", $0}' | sed 's/,$//')
[ -z "$EXAMPLES" ] && EXAMPLES=""
# Add comma if not first
if [ "$FIRST" = true ]; then
FIRST=false
else
echo " ," >> "$TEMP_RESULTS"
fi
# Write scope entry
cat << EOF >> "$TEMP_RESULTS"
{
"name": "$scope",
"count": $count,
"percentage": $PCT,
"category": "$CATEGORY",
"description": "$DESCRIPTION",
"hierarchy": $HIERARCHY,
"active": $ACTIVE,
"recent_usage": $RECENT_USAGE,
"examples": [$EXAMPLES]
}
EOF
done <<< "$SCOPE_COUNTS"
echo " ]" >> "$TEMP_RESULTS"
echo "}" >> "$TEMP_RESULTS"
# Output result
cat "$TEMP_RESULTS"
exit 0

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@@ -0,0 +1,232 @@
#!/bin/bash
# ============================================================================
# SCRIPT: style-analyzer.sh
# PURPOSE: Analyze git commit history for style patterns and conventions
# VERSION: 1.0.0
# USAGE: ./style-analyzer.sh [count] [branch]
# RETURNS: JSON format with style analysis results
# EXIT CODES:
# 0 - Success
# 1 - Not a git repository
# 2 - No commit history
# 3 - Git command failed
# DEPENDENCIES: git, jq (optional for pretty JSON)
# ============================================================================
# Default parameters
COUNT="${1:-50}"
BRANCH="${2:-HEAD}"
# Validate git repository
if ! git rev-parse --git-dir >/dev/null 2>&1; then
echo '{"error": "Not in a git repository"}' >&2
exit 1
fi
# Check if commits exist
if ! git log -1 >/dev/null 2>&1; then
echo '{"error": "No commit history found"}' >&2
exit 2
fi
# Get commit subjects
SUBJECTS=$(git log --format='%s' -"$COUNT" "$BRANCH" 2>/dev/null)
if [ $? -ne 0 ]; then
echo '{"error": "Failed to fetch git log"}' >&2
exit 3
fi
# Get full commit messages (subject + body)
FULL_MESSAGES=$(git log --format='%B%n---COMMIT_SEPARATOR---' -"$COUNT" "$BRANCH" 2>/dev/null)
# Count total commits analyzed
TOTAL_COMMITS=$(echo "$SUBJECTS" | wc -l)
# Initialize counters
CONVENTIONAL_COUNT=0
IMPERATIVE_COUNT=0
HAS_BODY_COUNT=0
REFERENCES_ISSUES_COUNT=0
CAPITALIZED_COUNT=0
NO_PERIOD_COUNT=0
# Arrays for type and scope counting
declare -A TYPE_COUNT
declare -A SCOPE_COUNT
# Calculate subject line lengths
LENGTHS=""
TOTAL_LENGTH=0
# Process each subject line
while IFS= read -r subject; do
[ -z "$subject" ] && continue
# Length analysis
LENGTH=${#subject}
LENGTHS="$LENGTHS $LENGTH"
TOTAL_LENGTH=$((TOTAL_LENGTH + LENGTH))
# Check conventional commits format: type(scope): subject
if echo "$subject" | grep -qE '^[a-z]+(\([^)]+\))?: '; then
((CONVENTIONAL_COUNT++))
# Extract type
TYPE=$(echo "$subject" | sed -E 's/^([a-z]+)(\([^)]+\))?: .*/\1/')
TYPE_COUNT[$TYPE]=$((${TYPE_COUNT[$TYPE]:-0} + 1))
# Extract scope if present
if echo "$subject" | grep -qE '^[a-z]+\([^)]+\): '; then
SCOPE=$(echo "$subject" | sed -E 's/^[a-z]+\(([^)]+)\): .*/\1/')
SCOPE_COUNT[$SCOPE]=$((${SCOPE_COUNT[$SCOPE]:-0} + 1))
fi
fi
# Check imperative mood (simple heuristic - starts with verb in base form)
# Common imperative verbs
if echo "$subject" | grep -qiE '^(add|fix|update|remove|refactor|implement|create|delete|change|improve|optimize|enhance|correct|resolve|merge|bump|revert|feat|docs|style|test|chore|perf|build|ci)[:(]'; then
((IMPERATIVE_COUNT++))
fi
# Check capitalization (first letter after type/scope)
if echo "$subject" | grep -qE ': [A-Z]'; then
((CAPITALIZED_COUNT++))
fi
# Check no period at end
if ! echo "$subject" | grep -qE '\.$'; then
((NO_PERIOD_COUNT++))
fi
done <<< "$SUBJECTS"
# Analyze full messages for body and issue references
COMMIT_NUM=0
while IFS= read -r line; do
if [ "$line" = "---COMMIT_SEPARATOR---" ]; then
if [ $HAS_BODY = true ]; then
((HAS_BODY_COUNT++))
fi
if [ $HAS_ISSUE_REF = true ]; then
((REFERENCES_ISSUES_COUNT++))
fi
HAS_BODY=false
HAS_ISSUE_REF=false
IN_SUBJECT=true
COMMIT_NUM=$((COMMIT_NUM + 1))
continue
fi
if [ "$IN_SUBJECT" = true ]; then
IN_SUBJECT=false
continue
fi
# Check if has body (non-empty line after subject)
if [ -n "$line" ] && [ "$line" != "" ]; then
HAS_BODY=true
fi
# Check for issue references
if echo "$line" | grep -qE '#[0-9]+|[Cc]loses|[Ff]ixes|[Rr]efs'; then
HAS_ISSUE_REF=true
fi
done <<< "$FULL_MESSAGES"
# Calculate average subject length
if [ $TOTAL_COMMITS -gt 0 ]; then
AVG_LENGTH=$((TOTAL_LENGTH / TOTAL_COMMITS))
else
AVG_LENGTH=0
fi
# Calculate standard deviation (simplified)
SUM_SQUARED_DIFF=0
for length in $LENGTHS; do
DIFF=$((length - AVG_LENGTH))
SUM_SQUARED_DIFF=$((SUM_SQUARED_DIFF + DIFF * DIFF))
done
if [ $TOTAL_COMMITS -gt 0 ]; then
STDDEV=$(echo "scale=1; sqrt($SUM_SQUARED_DIFF / $TOTAL_COMMITS)" | bc -l 2>/dev/null || echo "0")
else
STDDEV=0
fi
# Calculate percentages
calc_percentage() {
if [ $TOTAL_COMMITS -gt 0 ]; then
echo "scale=1; $1 * 100 / $TOTAL_COMMITS" | bc -l
else
echo "0"
fi
}
CONVENTIONAL_PCT=$(calc_percentage $CONVENTIONAL_COUNT)
IMPERATIVE_PCT=$(calc_percentage $IMPERATIVE_COUNT)
HAS_BODY_PCT=$(calc_percentage $HAS_BODY_COUNT)
REFERENCES_ISSUES_PCT=$(calc_percentage $REFERENCES_ISSUES_COUNT)
CAPITALIZED_PCT=$(calc_percentage $CAPITALIZED_COUNT)
NO_PERIOD_PCT=$(calc_percentage $NO_PERIOD_COUNT)
# Build common_types JSON array
COMMON_TYPES_JSON="["
FIRST=true
for type in "${!TYPE_COUNT[@]}"; do
count=${TYPE_COUNT[$type]}
pct=$(calc_percentage $count)
if [ "$FIRST" = true ]; then
FIRST=false
else
COMMON_TYPES_JSON="$COMMON_TYPES_JSON,"
fi
COMMON_TYPES_JSON="$COMMON_TYPES_JSON{\"type\":\"$type\",\"count\":$count,\"percentage\":$pct}"
done
COMMON_TYPES_JSON="$COMMON_TYPES_JSON]"
# Build common_scopes JSON array
COMMON_SCOPES_JSON="["
FIRST=true
for scope in "${!SCOPE_COUNT[@]}"; do
count=${SCOPE_COUNT[$scope]}
pct=$(calc_percentage $count)
if [ "$FIRST" = true ]; then
FIRST=false
else
COMMON_SCOPES_JSON="$COMMON_SCOPES_JSON,"
fi
COMMON_SCOPES_JSON="$COMMON_SCOPES_JSON{\"scope\":\"$scope\",\"count\":$count,\"percentage\":$pct}"
done
COMMON_SCOPES_JSON="$COMMON_SCOPES_JSON]"
# Get sample commits (first 3)
SAMPLE_COMMITS=$(git log --format='%s' -3 "$BRANCH" 2>/dev/null | awk '{printf "\"%s\",", $0}' | sed 's/,$//')
# Calculate consistency score (weighted average)
# Weights: conventional(30), imperative(25), capitalized(15), no_period(15), body(10), issues(5)
CONSISTENCY_SCORE=$(echo "scale=0; ($CONVENTIONAL_PCT * 0.3 + $IMPERATIVE_PCT * 0.25 + $CAPITALIZED_PCT * 0.15 + $NO_PERIOD_PCT * 0.15 + $HAS_BODY_PCT * 0.1 + $REFERENCES_ISSUES_PCT * 0.05)" | bc -l)
# Output JSON
cat << EOF
{
"project_style": {
"commits_analyzed": $TOTAL_COMMITS,
"branch": "$BRANCH",
"uses_conventional_commits": $([ $CONVENTIONAL_COUNT -gt $((TOTAL_COMMITS / 2)) ] && echo "true" || echo "false"),
"conventional_commits_percentage": $CONVENTIONAL_PCT,
"average_subject_length": $AVG_LENGTH,
"subject_length_stddev": $STDDEV,
"common_types": $COMMON_TYPES_JSON,
"common_scopes": $COMMON_SCOPES_JSON,
"imperative_mood_percentage": $IMPERATIVE_PCT,
"capitalized_subject_percentage": $CAPITALIZED_PCT,
"no_period_end_percentage": $NO_PERIOD_PCT,
"has_body_percentage": $HAS_BODY_PCT,
"references_issues_percentage": $REFERENCES_ISSUES_PCT,
"consistency_score": $CONSISTENCY_SCORE,
"sample_commits": [$SAMPLE_COMMITS]
}
}
EOF
exit 0

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# Operation: Analyze Commit Style
**Purpose:** Analyze recent commit history to learn the project's commit message style, conventions, and patterns.
## Parameters
From `$ARGUMENTS` (after operation name):
- `count:N` - Number of commits to analyze (default: 50)
- `branch:name` - Branch to analyze (default: current branch)
- `format:json|text` - Output format (default: text)
## Workflow
### 1. Validate Repository
```bash
# Check if in git repository
if ! git rev-parse --git-dir >/dev/null 2>&1; then
echo "Error: Not in a git repository"
exit 1
fi
# Check if has commits
if ! git log -1 >/dev/null 2>&1; then
echo "Error: No commit history found"
exit 1
fi
```
### 2. Execute Style Analysis Script
Invoke the style-analyzer.sh utility script:
```bash
./.scripts/style-analyzer.sh <count> <branch>
```
The script will:
- Fetch recent commits from git log
- Analyze commit message formats
- Calculate statistics (average length, type distribution, etc.)
- Detect conventional commits usage
- Identify common patterns
### 3. Process Analysis Results
The script returns JSON output with:
```json
{
"project_style": {
"uses_conventional_commits": true,
"conventional_commits_percentage": 87,
"average_subject_length": 47,
"subject_length_stddev": 8,
"common_types": [
{"type": "feat", "count": 45, "percentage": 35.4},
{"type": "fix", "count": 38, "percentage": 29.9},
{"type": "docs", "count": 20, "percentage": 15.7}
],
"common_scopes": [
{"scope": "auth", "count": 23, "percentage": 18.1},
{"scope": "api", "count": 19, "percentage": 14.9},
{"scope": "ui", "count": 15, "percentage": 11.8}
],
"imperative_mood_percentage": 92,
"has_body_percentage": 34,
"references_issues_percentage": 67,
"consistency_score": 85,
"sample_commits": [
"feat(auth): implement OAuth2 authentication",
"fix(api): handle null pointer in user endpoint",
"docs: update API documentation"
]
}
}
```
### 4. Generate Recommendations
Based on analysis results, provide:
**Style Recommendations:**
- Conventional commits adherence level
- Recommended message format
- Typical subject line length
- Body usage patterns
- Issue reference patterns
**Type Recommendations:**
- Most commonly used types
- Type usage frequency
- Recommended types for new commits
**Scope Recommendations:**
- Commonly used scopes
- Scope naming patterns
- When to use which scope
**Consistency Recommendations:**
- Areas of good consistency
- Areas needing improvement
- Specific guidance for better consistency
### 5. Format Output
**Text Format (default):**
```
Git Commit Style Analysis
=========================
Commits Analyzed: 50
Branch: main
Conventional Commits: 87% (43/50)
Consistency Score: 85/100
Subject Lines:
Average Length: 47 characters
Recommended: Keep under 50 characters
Common Types:
1. feat - 35.4% (45 commits) - New features
2. fix - 29.9% (38 commits) - Bug fixes
3. docs - 15.7% (20 commits) - Documentation
Common Scopes:
1. auth - 18.1% (23 commits) - Authentication/authorization
2. api - 14.9% (19 commits) - API endpoints
3. ui - 11.8% (15 commits) - User interface
Patterns Detected:
✓ Uses imperative mood (92%)
✓ References issues frequently (67%)
○ Body usage moderate (34%)
Recommendations:
• Continue using conventional commits format
• Consider 'auth' scope for authentication changes
• Keep subject lines under 50 characters
• Use imperative mood (e.g., "add" not "added")
• Reference issues when applicable (#123)
Sample Commits (project style):
feat(auth): implement OAuth2 authentication
fix(api): handle null pointer in user endpoint
docs: update API documentation
```
**JSON Format:**
```json
{
"analysis_type": "commit_style",
"commits_analyzed": 50,
"branch": "main",
"results": { ... },
"recommendations": [ ... ],
"confidence": "high"
}
```
## Error Handling
**No git repository:**
- Error: "Not in a git repository. Run this command from within a git project."
- Exit code: 1
**No commits:**
- Error: "No commit history found. This appears to be a new repository."
- Exit code: 1
**Branch doesn't exist:**
- Error: "Branch 'branch-name' not found. Check branch name and try again."
- Exit code: 1
**Insufficient commits:**
- Warning: "Only X commits found. Analysis may be less accurate."
- Proceed with available commits
**Git command fails:**
- Error: "Git command failed: {error message}"
- Provide troubleshooting steps
## Integration Usage
**By commit-assistant agent:**
```
User requests: "commit my changes"
→ Agent invokes: /history-analysis analyze-style
→ Learns: Project uses conventional commits, common scope: "auth"
→ Agent generates message matching project style
```
**By message-generation skill:**
```
Before generating message:
→ Invoke: /history-analysis analyze-style format:json
→ Extract: common_types, common_scopes, average_length
→ Use in: message generation to match project conventions
```
## Output Examples
**High Consistency Project (score: 95):**
```
✓ Excellent consistency across commits
✓ Strong conventional commits adherence (98%)
✓ Clear scope usage patterns
→ Continue current practices
```
**Medium Consistency Project (score: 65):**
```
○ Moderate consistency
○ Mixed conventional commits usage (64%)
○ Inconsistent scope patterns
→ Recommend adopting conventional commits
→ Define standard scopes for the project
```
**Low Consistency Project (score: 35):**
```
✗ Low consistency across commits
✗ Minimal conventional commits usage (12%)
✗ No clear patterns
→ Consider establishing commit message guidelines
→ Define project-specific conventions
→ Use this tool to enforce standards
```
## Success Criteria
Operation succeeds when:
- [x] Git repository validated
- [x] Commits successfully analyzed
- [x] Statistics calculated accurately
- [x] Patterns detected correctly
- [x] Recommendations generated
- [x] Output formatted properly
- [x] Results match project reality
## Performance
- **Analysis Time:** ~1-2 seconds for 50 commits
- **Memory Usage:** Minimal (processes line-by-line)
- **Git Operations:** Read-only, no modifications

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# Operation: Detect Commit Patterns
**Purpose:** Identify project-specific commit message patterns, conventions, and formatting standards from commit history.
## Parameters
From `$ARGUMENTS` (after operation name):
- `count:N` - Number of commits to analyze (default: 50)
- `branch:name` - Branch to analyze (default: current branch)
- `format:json|text` - Output format (default: text)
- `detailed:true|false` - Include detailed pattern breakdown (default: false)
## Workflow
### 1. Validate Repository
```bash
# Verify git repository
if ! git rev-parse --git-dir >/dev/null 2>&1; then
echo "Error: Not in a git repository"
exit 1
fi
```
### 2. Execute Pattern Detection
Invoke the pattern-detector.py utility script:
```bash
./.scripts/pattern-detector.py --count <count> --branch <branch> [--detailed]
```
The script analyzes:
- **Format Patterns:** Message structure and formatting
- **Convention Patterns:** Conventional commits, semantic versioning references
- **Content Patterns:** Imperative mood, capitalization, punctuation
- **Metadata Patterns:** Issue references, co-authors, sign-offs
- **Body Patterns:** Bullet points, wrapping, section structure
### 3. Pattern Categories Analyzed
**A. Format Patterns**
```python
patterns = {
'conventional_commits': 0, # type(scope): subject
'simple_subject': 0, # Just a subject line
'prefixed': 0, # [PREFIX] subject
'tagged': 0, # #tag subject
'other': 0
}
```
**B. Convention Patterns**
```python
conventions = {
'imperative_mood': 0, # "add" vs "added"
'capitalized_subject': 0, # First letter capitalized
'no_period_end': 0, # No period at end
'blank_line_before_body': 0, # Proper body separation
'wrapped_body': 0, # 72-char wrap
'has_footer': 0 # Breaking changes, issues
}
```
**C. Content Patterns**
```python
content = {
'references_issues': 0, # #123, Closes #456
'mentions_breaking': 0, # BREAKING CHANGE:
'has_co_authors': 0, # Co-authored-by:
'signed_off': 0, # Signed-off-by:
'includes_rationale': 0, # "because", "to", "for"
'mentions_impact': 0 # "affects", "impacts", "changes"
}
```
### 4. Pattern Analysis Algorithm
The pattern-detector.py script implements:
```python
def analyze_commit_patterns(commits):
"""
Analyze commit messages for patterns.
Returns pattern frequencies and confidence scores.
"""
patterns = initialize_pattern_counters()
for commit in commits:
# Parse commit structure
subject, body, footer = parse_commit(commit)
# Detect format pattern
if is_conventional_commit(subject):
patterns['format']['conventional_commits'] += 1
elif has_prefix(subject):
patterns['format']['prefixed'] += 1
# ... more checks
# Detect conventions
if is_imperative_mood(subject):
patterns['conventions']['imperative_mood'] += 1
if is_capitalized(subject):
patterns['conventions']['capitalized_subject'] += 1
# ... more checks
# Detect content patterns
if references_issues(commit):
patterns['content']['references_issues'] += 1
# ... more checks
# Calculate percentages
return calculate_pattern_percentages(patterns, len(commits))
```
### 5. Output Structure
**Text Format (default):**
```
Commit Pattern Analysis
=======================
Commits Analyzed: 50
Branch: main
FORMAT PATTERNS
---------------
Conventional Commits: 87% (44/50) ✓ DOMINANT
Example: feat(auth): implement OAuth2
Simple Subject: 10% (5/50)
Example: Update documentation
Prefixed: 3% (1/50)
Example: [HOTFIX] Fix critical bug
CONVENTION PATTERNS
-------------------
Imperative Mood: 92% (46/50) ✓ STRONG
Capitalized Subject: 94% (47/50) ✓ STRONG
No Period at End: 88% (44/50) ✓ STRONG
Blank Line Before Body: 100% (17/17) ✓ PERFECT
Body Wrapped at 72: 94% (16/17) ✓ STRONG
Has Footer: 26% (13/50) ○ MODERATE
CONTENT PATTERNS
----------------
References Issues: 67% (34/50) ✓ COMMON
Mentions Breaking: 8% (4/50) ○ OCCASIONAL
Has Co-Authors: 2% (1/50) ✗ RARE
Signed-Off: 12% (6/50) ○ OCCASIONAL
Includes Rationale: 45% (23/50) ○ MODERATE
Mentions Impact: 31% (16/50) ○ MODERATE
DETECTED CONVENTIONS
--------------------
✓ Project uses conventional commits format
✓ Strong imperative mood usage
✓ Consistent capitalization and punctuation
✓ Frequent issue references
○ Moderate footer usage
○ Occasional breaking change mentions
PATTERN CONSISTENCY
-------------------
Overall Score: 85/100 (GOOD)
Format: High (87% conventional)
Conventions: High (90%+ adherence)
Content: Moderate (varied usage)
RECOMMENDATIONS
---------------
• Continue using conventional commits format
• Maintain imperative mood in subject lines
• Consider more consistent footer usage
• Document rationale in commit bodies when complex
```
**JSON Format:**
```json
{
"analysis_type": "pattern_detection",
"commits_analyzed": 50,
"branch": "main",
"patterns": {
"format": {
"conventional_commits": {"count": 44, "percentage": 87, "strength": "dominant"},
"simple_subject": {"count": 5, "percentage": 10, "strength": "rare"},
"prefixed": {"count": 1, "percentage": 3, "strength": "rare"}
},
"conventions": {
"imperative_mood": {"count": 46, "percentage": 92, "strength": "strong"},
"capitalized_subject": {"count": 47, "percentage": 94, "strength": "strong"},
"no_period_end": {"count": 44, "percentage": 88, "strength": "strong"}
},
"content": {
"references_issues": {"count": 34, "percentage": 67, "strength": "common"},
"mentions_breaking": {"count": 4, "percentage": 8, "strength": "occasional"}
}
},
"consistency_score": 85,
"dominant_pattern": "conventional_commits",
"recommendations": [
"Continue using conventional commits format",
"Maintain imperative mood in subject lines"
]
}
```
### 6. Pattern Strength Classification
```
PERFECT: 95-100% - Universal usage
STRONG: 80-94% - Very consistent
DOMINANT: 65-79% - Clear preference
COMMON: 45-64% - Regular usage
MODERATE: 25-44% - Occasional usage
OCCASIONAL: 10-24% - Infrequent usage
RARE: 1-9% - Seldom used
ABSENT: 0% - Not used
```
### 7. Detailed Pattern Breakdown
When `detailed:true` is specified, include:
**Per-Pattern Examples:**
```
IMPERATIVE MOOD (92%)
✓ "Add user authentication"
✓ "Fix null pointer exception"
✓ "Update API documentation"
✗ "Added new feature"
✗ "Updated dependencies"
```
**Timeline Analysis:**
```
Pattern Evolution (most recent 10 commits):
Conventional Commits: 10/10 (100%) - Improving ↑
Imperative Mood: 9/10 (90%) - Stable →
Issue References: 8/10 (80%) - Improving ↑
```
## Error Handling
**No git repository:**
- Return: "Error: Not in a git repository"
- Exit code: 1
**No commits:**
- Return: "Error: No commit history to analyze"
- Exit code: 1
**Insufficient commits:**
- Warning: "Only X commits available (requested Y)"
- Proceed with available commits
**Pattern detection fails:**
- Return partial results with warning
- Indicate which patterns couldn't be detected
## Integration Usage
**By commit-assistant agent:**
```
Agent: Determine project conventions
→ Invoke: /history-analysis detect-patterns
→ Learn: Project uses conventional commits (87%)
→ Apply: Use conventional format for new commits
```
**By message-generation skill:**
```
Before generating:
→ Detect dominant patterns
→ Extract format preferences
→ Match project conventions
```
**By commit-best-practices skill:**
```
When reviewing commits:
→ Compare against detected patterns
→ Flag deviations from project norms
→ Suggest consistency improvements
```
## Success Criteria
Operation succeeds when:
- [x] All pattern categories analyzed
- [x] Frequencies calculated accurately
- [x] Strength classifications assigned
- [x] Consistency score computed
- [x] Dominant pattern identified
- [x] Recommendations generated
- [x] Output formatted correctly
## Performance
- **Analysis Time:** ~2-3 seconds for 50 commits
- **Memory Usage:** Low (streaming analysis)
- **Accuracy:** High (>95% pattern detection accuracy)

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@@ -0,0 +1,378 @@
# Operation: Extract Scopes
**Purpose:** Discover and analyze commonly used scopes in commit messages to understand project structure and component organization.
## Parameters
From `$ARGUMENTS` (after operation name):
- `count:N` - Number of commits to analyze (default: 50)
- `branch:name` - Branch to analyze (default: current branch)
- `format:json|text` - Output format (default: text)
- `min_frequency:N` - Minimum occurrences to include (default: 2)
- `top:N` - Show only top N scopes (default: 20)
## Workflow
### 1. Validate Repository
```bash
# Check git repository
if ! git rev-parse --git-dir >/dev/null 2>&1; then
echo "Error: Not in a git repository"
exit 1
fi
```
### 2. Execute Scope Extraction
Invoke the scope-extractor.sh utility script:
```bash
./.scripts/scope-extractor.sh --count <count> --branch <branch> --min-frequency <min>
```
The script will:
- Parse commit messages
- Extract scopes using regex patterns
- Count scope frequencies
- Analyze scope naming patterns
- Categorize scopes by type
### 3. Scope Extraction Algorithm
**Pattern Matching:**
```bash
# Primary pattern: type(scope): subject
^[a-z]+\(([^)]+)\):
# Examples:
feat(auth): add OAuth → scope: "auth"
fix(api/users): handle null → scope: "api/users"
docs(readme): update guide → scope: "readme"
```
**Nested Scope Handling:**
```bash
# Hierarchical scopes
api/endpoints → parent: "api", child: "endpoints"
ui/components → parent: "ui", child: "components"
core/auth → parent: "core", child: "auth"
```
**Multi-Scope Handling:**
```bash
# Comma-separated scopes
feat(api,docs): add endpoint → scopes: ["api", "docs"]
fix(ui, ux): button alignment → scopes: ["ui", "ux"]
```
### 4. Scope Analysis Categories
**A. Frequency Analysis**
```json
{
"scope": "auth",
"count": 23,
"percentage": 18.1,
"first_seen": "2024-01-15",
"last_seen": "2024-03-10",
"active": true
}
```
**B. Scope Hierarchy**
```json
{
"api": {
"count": 45,
"children": {
"endpoints": 12,
"middleware": 8,
"validation": 6
}
}
}
```
**C. Scope Categories**
```
Architecture: core, utils, config
Features: auth, payment, search
UI: ui, components, styles
Backend: api, db, server
Infrastructure: ci, docker, deploy
Documentation: docs, readme, changelog
Testing: test, e2e, unit
```
### 5. Output Structure
**Text Format (default):**
```
Scope Extraction Analysis
=========================
Commits Analyzed: 50
Branch: main
Scopes Found: 15 unique
Total Scoped Commits: 44/50 (88%)
TOP SCOPES BY FREQUENCY
-----------------------
1. auth 23 (18.1%) ████████████████████
└─ Authentication and authorization
2. api 19 (14.9%) ████████████████
├─ endpoints 7
├─ middleware 5
└─ validation 3
3. ui 15 (11.8%) █████████████
├─ components 8
└─ styles 4
4. db 12 (9.4%) ██████████
└─ Database operations
5. docs 11 (8.7%) █████████
└─ Documentation
6. core 8 (6.3%) ███████
└─ Core functionality
7. config 7 (5.5%) ██████
└─ Configuration
8. test 6 (4.7%) █████
└─ Testing
9. ci 5 (3.9%) ████
└─ CI/CD pipelines
10. deploy 4 (3.1%) ███
└─ Deployment
SCOPE CATEGORIES
----------------
Features (45%): auth, payment, search
Backend (32%): api, db, server
UI (19%): ui, components, styles
Infrastructure (12%): ci, docker, deploy
Documentation (8%): docs, readme
SCOPE PATTERNS
--------------
Naming Style: lowercase, hyphen-separated
Hierarchy: Uses / for nested scopes (api/endpoints)
Multi-Scope: Occasional (3% of commits)
Active Scopes: 12/15 (used in last 10 commits)
Deprecated: payment-v1, legacy-api
RECOMMENDATIONS
---------------
• Use 'auth' for authentication/authorization changes
• Use 'api' for backend API modifications
• Use 'ui' for user interface changes
• Consider hierarchical scopes for complex modules (api/endpoints)
• Active scopes: auth, api, ui, db, docs, core, config
• Avoid deprecated: payment-v1, legacy-api
RECENT SCOPE USAGE (last 10 commits)
------------------------------------
auth ████ (4 commits)
api ███ (3 commits)
ui ██ (2 commits)
docs █ (1 commit)
```
**JSON Format:**
```json
{
"analysis_type": "scope_extraction",
"commits_analyzed": 50,
"branch": "main",
"statistics": {
"total_scopes": 15,
"scoped_commits": 44,
"scoped_percentage": 88,
"active_scopes": 12,
"deprecated_scopes": 2
},
"scopes": [
{
"name": "auth",
"count": 23,
"percentage": 18.1,
"category": "feature",
"description": "Authentication and authorization",
"hierarchy": null,
"first_seen": "2024-01-15",
"last_seen": "2024-03-10",
"active": true,
"recent_usage": 4,
"examples": [
"feat(auth): implement OAuth2",
"fix(auth): session timeout",
"refactor(auth): simplify middleware"
]
},
{
"name": "api",
"count": 19,
"percentage": 14.9,
"category": "backend",
"description": "API endpoints and logic",
"hierarchy": {
"endpoints": 7,
"middleware": 5,
"validation": 3
},
"active": true,
"recent_usage": 3
}
],
"categories": {
"feature": {"count": 45, "percentage": 45},
"backend": {"count": 32, "percentage": 32},
"ui": {"count": 19, "percentage": 19}
},
"patterns": {
"naming_style": "lowercase_hyphen",
"uses_hierarchy": true,
"uses_multi_scope": true,
"multi_scope_percentage": 3
},
"recommendations": [
"Use 'auth' for authentication/authorization changes",
"Use 'api' for backend API modifications",
"Consider hierarchical scopes for complex modules"
]
}
```
### 6. Scope Categorization Logic
**Category Detection:**
```python
def categorize_scope(scope_name, usage_patterns):
"""Categorize scope based on name and usage"""
# Authentication/Authorization
if scope_name in ['auth', 'security', 'login', 'oauth']:
return 'feature', 'Authentication'
# API/Backend
if scope_name in ['api', 'endpoint', 'backend', 'server']:
return 'backend', 'API and backend'
# UI/Frontend
if scope_name in ['ui', 'component', 'style', 'frontend']:
return 'ui', 'User interface'
# Database
if scope_name in ['db', 'database', 'schema', 'migration']:
return 'backend', 'Database'
# Infrastructure
if scope_name in ['ci', 'cd', 'deploy', 'docker', 'k8s']:
return 'infrastructure', 'Infrastructure'
# Documentation
if scope_name in ['docs', 'readme', 'changelog']:
return 'documentation', 'Documentation'
# Testing
if scope_name in ['test', 'e2e', 'unit', 'integration']:
return 'testing', 'Testing'
# Default
return 'other', 'Other'
```
### 7. Trend Analysis
**Activity Tracking:**
```
Scope Activity Timeline (last 30 days):
auth: ████████████████ (very active)
api: ████████████ (active)
ui: ████████ (moderate)
db: ████ (low)
test: ██ (occasional)
docs: █ (rare)
```
**Deprecated Scope Detection:**
```python
def is_deprecated(scope):
"""Detect if scope is deprecated"""
# Not used in last 20 commits
if scope.last_seen_commit_index > 20:
return True
# Explicitly marked as deprecated
if 'legacy' in scope.name or 'v1' in scope.name:
return True
return False
```
## Error Handling
**No scopes found:**
- Warning: "No scopes detected in commit history"
- Suggestion: "Project may not use conventional commits format"
- Return: Empty scope list with explanation
**Minimal scopes:**
- Warning: "Only X scopes found with min_frequency threshold"
- Suggestion: "Lower min_frequency or analyze more commits"
**Malformed scopes:**
- Skip invalid entries
- Log: "Skipped N malformed scope entries"
- Continue with valid scopes
## Integration Usage
**By commit-assistant agent:**
```
User modifies auth files:
→ Invoke: /history-analysis extract-scopes
→ Find: 'auth' is common scope (18.1%)
→ Suggest: Use 'auth' scope for this commit
```
**By message-generation skill:**
```
Generating commit message:
→ Extract scopes from history
→ Check if current files match known scopes
→ Auto-suggest appropriate scope
```
**By identify-scope operation:**
```
Unknown scope needed:
→ Check extracted scopes
→ Find similar/related scopes
→ Recommend best match
```
## Success Criteria
Operation succeeds when:
- [x] All scopes extracted from commits
- [x] Frequencies calculated correctly
- [x] Hierarchies identified
- [x] Categories assigned accurately
- [x] Active/deprecated status determined
- [x] Recommendations generated
- [x] Output formatted properly
## Performance
- **Extraction Time:** ~1-2 seconds for 50 commits
- **Regex Matching:** ~0.02ms per commit
- **Memory:** Low (scope hash table only)

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@@ -0,0 +1,586 @@
# Operation: Learn Project
**Purpose:** Comprehensive project commit pattern learning - analyze all aspects of commit history to provide complete understanding of project conventions.
## Parameters
From `$ARGUMENTS` (after operation name):
- `count:N` - Number of commits to analyze (default: 100)
- `branch:name` - Branch to analyze (default: current branch)
- `format:json|text` - Output format (default: text)
- `save:path` - Save results to file (optional)
- `full:true|false` - Include detailed breakdown (default: false)
## Workflow
### 1. Validate Repository
```bash
if ! git rev-parse --git-dir >/dev/null 2>&1; then
echo "Error: Not in a git repository"
exit 1
fi
if ! git log -1 >/dev/null 2>&1; then
echo "Error: No commit history found"
exit 1
fi
```
### 2. Execute Comprehensive Analysis
This operation orchestrates all other history-analysis operations for complete project learning:
**Phase 1: Style Analysis**
```bash
echo "Phase 1/4: Analyzing commit style..."
./.scripts/style-analyzer.sh <count> <branch>
```
**Phase 2: Pattern Detection**
```bash
echo "Phase 2/4: Detecting conventions..."
./.scripts/pattern-detector.py --count <count> --branch <branch> --detailed
```
**Phase 3: Scope Extraction**
```bash
echo "Phase 3/4: Extracting scopes..."
./.scripts/scope-extractor.sh --count <count> --branch <branch> --min-frequency 2
```
**Phase 4: Convention Recommendations**
```bash
echo "Phase 4/4: Generating recommendations..."
./.scripts/convention-recommender.py --count <count> --branch <branch> --priority all
```
### 3. Aggregate and Synthesize Results
Combine all analysis data into comprehensive project profile:
```python
project_profile = {
'metadata': {
'project_name': get_repo_name(),
'analysis_date': datetime.now(),
'commits_analyzed': count,
'branch': branch,
'first_commit_date': get_first_commit_date(),
'last_commit_date': get_last_commit_date()
},
'style': style_analysis_results,
'patterns': pattern_detection_results,
'scopes': scope_extraction_results,
'recommendations': convention_recommendations,
'confidence': calculate_confidence_score()
}
```
### 4. Generate Project Profile
**Output Structure:**
```
═══════════════════════════════════════════════════════════════
PROJECT COMMIT PROFILE
═══════════════════════════════════════════════════════════════
Repository: git-commit-assistant
Branch: main
Analysis Date: 2024-03-10 14:30:00
Commits Analyzed: 100 (from 2024-01-01 to 2024-03-10)
Overall Consistency Score: 85/100 (GOOD)
Confidence Level: HIGH (100 commits analyzed)
═══════════════════════════════════════════════════════════════
📊 EXECUTIVE SUMMARY
═══════════════════════════════════════════════════════════════
✓ Project uses conventional commits consistently (87%)
✓ Strong imperative mood usage (92%)
✓ Good issue reference practice (67%)
○ Moderate body usage (34%)
○ Occasional breaking change documentation (8%)
Recommended Actions:
1. Maintain conventional commits format
2. Increase body usage for complex changes
3. Standardize breaking change documentation
═══════════════════════════════════════════════════════════════
📝 COMMIT STYLE ANALYSIS
═══════════════════════════════════════════════════════════════
Format Distribution:
Conventional Commits: 87% ████████████████████████░░░
Simple Subject: 10% ███░░░░░░░░░░░░░░░░░░░░░░░
Other: 3% █░░░░░░░░░░░░░░░░░░░░░░░░░
Subject Lines:
Average Length: 47 characters (recommended: < 50)
Standard Dev: 8 characters
Exceeds 50 chars: 15% of commits
Length Distribution:
30-40 chars: ████████ (35%)
41-50 chars: ██████████ (42%)
51-60 chars: ████ (15%)
61+ chars: ██ (8%)
Body Usage:
Has Body: 34% of commits
Average Length: 120 characters
Bullet Points: 89% of bodies
Wrapping: 94% wrap at 72 chars
Footer Usage:
Issue References: 67% ████████████████████░░░░░
Breaking Changes: 8% ██░░░░░░░░░░░░░░░░░░░░░░
Co-Authors: 2% ░░░░░░░░░░░░░░░░░░░░░░░░
Signed-Off: 12% ███░░░░░░░░░░░░░░░░░░░░░
═══════════════════════════════════════════════════════════════
🎯 COMMIT TYPE ANALYSIS
═══════════════════════════════════════════════════════════════
Type Distribution (from 87 conventional commits):
1. feat 35% ████████████████████ (30 commits)
└─ New features and capabilities
2. fix 30% ████████████████░ (26 commits)
└─ Bug fixes and corrections
3. docs 16% █████████░ (14 commits)
└─ Documentation updates
4. refactor 8% ████░ (7 commits)
└─ Code restructuring
5. test 5% ███░ (4 commits)
└─ Test additions/updates
6. chore 4% ██░ (3 commits)
└─ Maintenance tasks
7. perf 2% █░ (2 commits)
└─ Performance improvements
Type Usage Timeline (last 20 commits):
feat: ████████ (8 commits)
fix: ██████ (6 commits)
docs: ███ (3 commits)
refactor: ██ (2 commits)
chore: █ (1 commit)
═══════════════════════════════════════════════════════════════
🎨 SCOPE ANALYSIS
═══════════════════════════════════════════════════════════════
Scopes Found: 15 unique
Scoped Commits: 88% (76/87 conventional commits)
Top Scopes by Frequency:
1. auth 23% ████████████████████ (20 commits)
Category: Authentication
Status: ACTIVE (used in last 10 commits)
Examples:
• feat(auth): implement OAuth2 authentication
• fix(auth): handle session timeout correctly
• refactor(auth): simplify middleware logic
2. api 19% ████████████████ (17 commits)
Category: Backend
Status: ACTIVE
Hierarchy: api/endpoints (7), api/middleware (5), api/validation (3)
3. ui 15% █████████████ (13 commits)
Category: Frontend
Status: ACTIVE
Hierarchy: ui/components (8), ui/styles (4)
4. db 12% ██████████ (10 commits)
Category: Database
Status: ACTIVE
5. docs 11% █████████ (9 commits)
Category: Documentation
Status: ACTIVE
6-15. (core, config, test, ci, deploy, utils, types, scripts, docker, nginx)
Combined: 20% (17 commits)
Scope Categories:
Features: 45% (auth, payment, search, notifications)
Backend: 32% (api, db, server, cache)
Frontend: 19% (ui, components, styles)
Infrastructure: 12% (ci, docker, deploy, nginx)
Documentation: 11% (docs, readme, changelog)
═══════════════════════════════════════════════════════════════
🔍 CONVENTION PATTERNS
═══════════════════════════════════════════════════════════════
Writing Style:
Imperative Mood: 92% ██████████████████████░░
Capitalized Subject: 94% ██████████████████████░░
No Period at End: 88% ████████████████████░░░
Lowercase Scopes: 100% ████████████████████████
Message Structure:
Blank Line Before Body: 100% (all 34 bodies)
Body Wrapped at 72: 94% (32/34 bodies)
Bullet Points in Body: 89% (30/34 bodies)
Footer Separated: 100% (all 67 footers)
Issue References:
Format: "Closes #123" 45% ████████████
Format: "Fixes #456" 38% ██████████
Format: "Refs #789" 17% █████
Breaking Changes:
Format: "BREAKING CHANGE:" 100% (all 7 instances)
Always in footer: 100%
Includes description: 100%
═══════════════════════════════════════════════════════════════
💡 RECOMMENDATIONS (PRIORITIZED)
═══════════════════════════════════════════════════════════════
🔴 HIGH PRIORITY (Critical for Consistency)
1. ✓ Continue Using Conventional Commits
Current: 87% adoption
Target: Maintain 85%+
Impact: HIGH - Enables automation
2. ✓ Maintain Imperative Mood
Current: 92% compliance
Target: Maintain 90%+
Impact: HIGH - Readability and clarity
🟡 MEDIUM PRIORITY (Improve Quality)
3. ○ Increase Body Usage for Complex Changes
Current: 34% of commits
Target: 50% for multi-file changes
Impact: MEDIUM - Better documentation
When to add body:
• Changes affect >3 files
• Complex logic modifications
• Breaking changes
• Security-related changes
4. ○ Document Breaking Changes Consistently
Current: 8% when applicable
Target: 100% of breaking changes documented
Impact: MEDIUM - User experience
🟢 LOW PRIORITY (Polish)
5. ○ Consider Co-Author Attribution
Current: 2% usage
Target: Use for pair programming
Impact: LOW - Team recognition
6. ○ Add Signed-off-by for Compliance
Current: 12% usage
Target: If required by project policy
Impact: LOW - Legal compliance
═══════════════════════════════════════════════════════════════
📚 PROJECT-SPECIFIC STYLE GUIDE
═══════════════════════════════════════════════════════════════
COMMIT MESSAGE FORMAT
---------------------
<type>(<scope>): <subject> ← 50 chars max, imperative mood
<body> ← Optional, explain "why"
- Use bullet points ← Wrap at 72 characters
- Multiple lines OK
- Blank line before footer
<footer> ← Optional
BREAKING CHANGE: description
Closes #123
APPROVED TYPES (use these)
--------------------------
feat - New feature (35% of project commits)
fix - Bug fix (30% of project commits)
docs - Documentation (16% of project commits)
refactor - Code restructuring (8%)
test - Testing (5%)
chore - Maintenance (4%)
perf - Performance (2%)
STANDARD SCOPES (project-specific)
----------------------------------
auth - Authentication/authorization
api - Backend API endpoints
ui - User interface
db - Database operations
docs - Documentation
core - Core functionality
config - Configuration
test - Testing infrastructure
ci - CI/CD pipelines
deploy - Deployment
STYLE RULES
-----------
✓ Use imperative mood ("add" not "added")
✓ Capitalize first letter of subject
✓ No period at end of subject line
✓ Use lowercase for scopes
✓ Wrap body at 72 characters
✓ Separate body and footer with blank line
✓ Use bullet points in body (with - or •)
✓ Reference issues: "Closes #123", "Fixes #456"
✓ Document breaking changes in footer
REAL EXAMPLES FROM THIS PROJECT
--------------------------------
Example 1: Feature with body
feat(auth): implement OAuth2 authentication
- Add OAuth2 flow implementation
- Support Google and GitHub providers
- Include middleware for route protection
- Add configuration management
Closes #123
Example 2: Bug fix
fix(api): handle null pointer in user endpoint
The endpoint was not checking for null user objects
before accessing properties, causing crashes when
invalid user IDs were provided.
Fixes #456
Example 3: Breaking change
feat(api): change authentication flow
Update authentication to use OAuth2 tokens instead
of API keys for improved security.
BREAKING CHANGE: API now requires OAuth tokens
instead of API keys. Update all client applications
to use the new authentication flow.
Closes #789
═══════════════════════════════════════════════════════════════
🔧 IMPLEMENTATION GUIDE
═══════════════════════════════════════════════════════════════
1. SHARE WITH TEAM
• Add style guide to CONTRIBUTING.md
• Present in team meeting
• Add to onboarding docs
2. CONFIGURE GIT
Create .gitmessage template:
# <type>(<scope>): <subject>
#
# <body>
#
# <footer>
#
# Types: feat, fix, docs, refactor, test, chore, perf
# Scopes: auth, api, ui, db, docs, core, config
Then: git config commit.template .gitmessage
3. ADD PRE-COMMIT HOOKS
Install commitlint:
npm install --save-dev @commitlint/cli @commitlint/config-conventional
Configure commitlint.config.js:
module.exports = {
extends: ['@commitlint/config-conventional'],
rules: {
'scope-enum': [2, 'always', [
'auth', 'api', 'ui', 'db', 'docs', 'core',
'config', 'test', 'ci', 'deploy'
]]
}
};
4. ENABLE AUTOMATION
• Automated changelog: standard-version
• Semantic versioning: semantic-release
• Commit linting: commitlint + husky
5. MONITOR COMPLIANCE
Run this analysis monthly:
/history-analysis learn-project count:100
═══════════════════════════════════════════════════════════════
📈 CONFIDENCE ASSESSMENT
═══════════════════════════════════════════════════════════════
Data Quality: ████████████████████████ HIGH
Sample Size: 100 commits ✓ Sufficient
Time Range: 70 days ✓ Representative
Consistency: 85/100 ✓ Good
Pattern Clarity: ████████████████████████ HIGH
Confidence Level: HIGH
This analysis is reliable for:
✓ Establishing project guidelines
✓ Onboarding new developers
✓ Configuring automation tools
✓ Team discussions and decisions
═══════════════════════════════════════════════════════════════
💾 SAVE OPTIONS
═══════════════════════════════════════════════════════════════
This analysis can be saved for reference:
/history-analysis learn-project save:docs/commit-conventions.md
Or export as JSON for tooling:
/history-analysis learn-project format:json save:commit-profile.json
═══════════════════════════════════════════════════════════════
Analysis Complete - Ready to Apply
═══════════════════════════════════════════════════════════════
```
### 5. Save to File (if requested)
If `save:path` parameter provided:
```bash
# Save text format
echo "$output" > "$save_path"
# Save JSON format
echo "$json_output" > "$save_path"
echo "✓ Analysis saved to: $save_path"
```
### 6. JSON Output Structure
```json
{
"metadata": {
"project_name": "git-commit-assistant",
"analysis_date": "2024-03-10T14:30:00Z",
"commits_analyzed": 100,
"branch": "main",
"date_range": {
"first_commit": "2024-01-01",
"last_commit": "2024-03-10"
}
},
"scores": {
"overall_consistency": 85,
"style_consistency": 87,
"pattern_consistency": 92,
"content_consistency": 67,
"confidence": "high"
},
"style_analysis": {
"conventional_commits_percentage": 87,
"average_subject_length": 47,
"body_usage_percentage": 34,
"footer_usage_percentage": 67
},
"types": [...],
"scopes": [...],
"patterns": {...},
"recommendations": {
"high_priority": [...],
"medium_priority": [...],
"low_priority": [...]
},
"style_guide": {
"format": "<type>(<scope>): <subject>",
"types": [...],
"scopes": [...],
"rules": [...]
},
"examples": [...],
"automation": {
"commitlint_config": {...},
"changelog_generator": "standard-version",
"semantic_release": true
}
}
```
## Error Handling
**No git repository:**
- Error: "Not in a git repository"
- Guidance: Run from within git project directory
**Insufficient commits:**
- Warning: "Only X commits available (recommended: 50+)"
- Adjust: Analyze all available commits
- Note: Lower confidence level
**Analysis failure:**
- Partial results: Return what was successfully analyzed
- Error details: Indicate which phase failed
- Retry: Suggest re-running with different parameters
## Integration Usage
**New project setup:**
```
Developer: "What are the commit conventions?"
→ Run: /history-analysis learn-project
→ Get: Complete style guide
→ Configure: Git template and hooks
```
**Team standardization:**
```
Lead: "Let's review our commit practices"
→ Run: /history-analysis learn-project save:docs/conventions.md
→ Review: Recommendations with team
→ Implement: Top priorities
→ Document: In CONTRIBUTING.md
```
**Automation setup:**
```
DevOps: "Configure commit validation"
→ Run: /history-analysis learn-project format:json
→ Extract: Approved types and scopes
→ Configure: commitlint with project rules
→ Deploy: Pre-commit hooks
```
## Success Criteria
Operation succeeds when:
- [x] All 4 analysis phases complete
- [x] Results aggregated correctly
- [x] Comprehensive profile generated
- [x] Recommendations prioritized
- [x] Style guide created
- [x] Examples included
- [x] Implementation guidance provided
- [x] Confidence level assessed
## Performance
- **Phase 1 (Style):** ~2 seconds
- **Phase 2 (Patterns):** ~3 seconds
- **Phase 3 (Scopes):** ~2 seconds
- **Phase 4 (Recommendations):** ~1 second
- **Total:** ~8-10 seconds for 100 commits

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@@ -0,0 +1,118 @@
---
description: Analyze git history to learn project's commit style and conventions
---
# History Analysis Skill
**Purpose:** Analyze git commit history to learn project-specific commit patterns, conventions, scope usage, and message styles. Provides intelligent recommendations that match the team's existing practices.
## Router
Parse `$ARGUMENTS` to determine which history analysis operation to execute:
**Available Operations:**
- `analyze-style` - Learn commit style from recent history
- `detect-patterns` - Identify project-specific conventions
- `extract-scopes` - Discover commonly used scopes
- `suggest-conventions` - Recommend conventions based on history
- `learn-project` - Comprehensive project pattern learning
- `learn` - Alias for learn-project (full analysis)
**Base Directory:** `/home/danie/projects/plugins/architect/open-plugins/plugins/git-commit-assistant/commands/history-analysis`
## Routing Logic
```
Request: $ARGUMENTS
Parse: operation = first word, parameters = remainder
If operation is:
- "analyze-style" → Read "./analyze-style.md" with parameters
- "detect-patterns" → Read "./detect-patterns.md" with parameters
- "extract-scopes" → Read "./extract-scopes.md" with parameters
- "suggest-conventions" → Read "./suggest-conventions.md" with parameters
- "learn-project" or "learn" → Read "./learn-project.md" with parameters
- empty or unknown → Display usage information
```
## Usage Examples
```bash
# Analyze commit style from recent history
/history-analysis analyze-style
# Analyze with custom commit count
/history-analysis analyze-style count:100
# Detect project conventions
/history-analysis detect-patterns
# Extract common scopes
/history-analysis extract-scopes
# Get convention recommendations
/history-analysis suggest-conventions
# Full project learning (comprehensive analysis)
/history-analysis learn-project
# Short alias for full learning
/history-analysis learn
```
## Parameters
All operations support these optional parameters:
- `count:N` - Number of commits to analyze (default: 50)
- `branch:name` - Branch to analyze (default: current branch)
- `format:json|text` - Output format (default: text)
## Integration Points
This skill is designed to be invoked by:
- **commit-assistant agent** - Learn project conventions before generating messages
- **message-generation skill** - Validate messages against project style
- **User commands** - Understand project commit patterns
## Error Handling
If not in a git repository:
- Return error: "Not in a git repository. Please run this command from within a git project."
If no commit history exists:
- Return error: "No commit history found. This appears to be a new repository."
If git command fails:
- Return error with git error message and troubleshooting guidance
## Output Structure
All operations return structured data including:
- **Analysis results** - Patterns, frequencies, statistics
- **Recommendations** - Project-specific guidance
- **Examples** - Sample commits from project
- **Confidence score** - How reliable the analysis is
---
**Execution:**
1. Parse `$ARGUMENTS` to extract operation and parameters
2. Validate git repository exists
3. Read and execute the appropriate operation file
4. Return structured results
If operation is unrecognized, display:
```
Unknown operation: {operation}
Available operations:
analyze-style - Analyze commit message style
detect-patterns - Detect project conventions
extract-scopes - Extract common scopes
suggest-conventions - Get convention recommendations
learn-project - Full project pattern learning
Usage: /history-analysis <operation> [parameters]
Example: /history-analysis analyze-style count:100
```

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@@ -0,0 +1,431 @@
# Operation: Suggest Conventions
**Purpose:** Generate project-specific commit message convention recommendations based on historical analysis and best practices.
## Parameters
From `$ARGUMENTS` (after operation name):
- `count:N` - Number of commits to analyze (default: 50)
- `branch:name` - Branch to analyze (default: current branch)
- `format:json|text` - Output format (default: text)
- `include_examples:true|false` - Include example commits (default: true)
- `priority:high|medium|low|all` - Filter by recommendation priority (default: all)
## Workflow
### 1. Validate Repository
```bash
if ! git rev-parse --git-dir >/dev/null 2>&1; then
echo "Error: Not in a git repository"
exit 1
fi
```
### 2. Gather Historical Data
Execute analysis operations to collect data:
**A. Style Analysis:**
```bash
./.scripts/style-analyzer.sh <count> <branch>
```
**B. Pattern Detection:**
```bash
./.scripts/pattern-detector.py --count <count> --branch <branch>
```
**C. Scope Extraction:**
```bash
./.scripts/scope-extractor.sh --count <count> --branch <branch>
```
### 3. Execute Convention Recommender
Invoke the convention-recommender.py utility script:
```bash
./.scripts/convention-recommender.py --count <count> --branch <branch> --priority <priority>
```
The script will:
- Analyze aggregated historical data
- Identify current conventions and gaps
- Generate recommendations by priority
- Provide examples and implementation guidance
- Create project-specific guidelines
### 4. Recommendation Categories
**A. Format Recommendations**
- Commit message structure
- Subject line format
- Body organization
- Footer conventions
**B. Type Recommendations**
- Commonly used types
- Type selection guidance
- Project-specific type meanings
**C. Scope Recommendations**
- Standard scopes for the project
- Scope naming patterns
- When to use each scope
**D. Content Recommendations**
- Writing style (imperative mood, tense)
- Capitalization and punctuation
- Issue reference format
- Breaking change documentation
**E. Process Recommendations**
- Pre-commit validation
- Atomicity guidelines
- Review practices
### 5. Recommendation Priority Levels
**HIGH Priority (Critical for consistency):**
- Adopt conventional commits if not using (< 50% usage)
- Fix major inconsistencies (> 30% deviation)
- Establish missing critical patterns
**MEDIUM Priority (Improve quality):**
- Refine existing patterns (50-80% consistency)
- Add missing optional elements
- Enhance documentation practices
**LOW Priority (Nice-to-have):**
- Fine-tune minor details
- Advanced features (co-authors, trailers)
- Optimization opportunities
### 6. Output Structure
**Text Format (default):**
```
Project-Specific Commit Convention Recommendations
==================================================
Analysis: 50 commits on branch 'main'
Current Consistency: 85/100 (GOOD)
Generated: 2024-03-10
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔴 HIGH PRIORITY RECOMMENDATIONS
1. Continue Using Conventional Commits
Status: ✓ Already adopted (87% usage)
Action: Maintain current practice
Benefit: Enables automated changelog, semantic versioning
Format: <type>(<scope>): <subject>
Example from project:
✓ feat(auth): implement OAuth2 authentication
✓ fix(api): handle null pointer in user endpoint
2. Standardize Subject Line Length
Status: ○ Needs improvement (avg: 47 chars, σ=12)
Action: Keep subject lines under 50 characters
Current: 15% exceed limit
Target: < 5% exceed limit
✓ Good: "feat(auth): add OAuth provider support"
✗ Too long: "feat(auth): implement OAuth2 authentication with support for multiple providers including Google and GitHub"
✓ Better: "feat(auth): add OAuth multi-provider support"
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🟡 MEDIUM PRIORITY RECOMMENDATIONS
3. Increase Body Usage for Complex Changes
Status: ○ Moderate usage (34% of commits)
Action: Add body for non-trivial changes
Benefit: Better context for code review and history
When to add body:
• Multiple files changed (>3)
• Complex logic changes
• Breaking changes
• Security-related changes
Example from project:
feat(auth): implement OAuth2 authentication
- Add OAuth2 flow implementation
- Support Google and GitHub providers
- Include middleware for route protection
- Add configuration management
4. Consistent Issue References
Status: ✓ Good usage (67% of commits)
Action: Reference issues consistently
Current format: "Closes #123", "Fixes #456"
Recommendation: Continue current practice
Patterns detected in project:
✓ Closes #123 (45% of references)
✓ Fixes #456 (38% of references)
✓ Refs #789 (17% of references)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🟢 LOW PRIORITY RECOMMENDATIONS
5. Consider Adding Co-Author Attribution
Status: ✗ Rare usage (2% of commits)
Action: Add co-authors for pair programming
Format: Co-authored-by: Name <email>
Example:
feat(api): add user management endpoint
Co-authored-by: Jane Doe <jane@example.com>
6. Document Breaking Changes Explicitly
Status: ○ Occasional (8% of commits)
Action: Use BREAKING CHANGE footer when applicable
Format:
feat(api): change authentication flow
BREAKING CHANGE: API now requires OAuth tokens
instead of API keys. Update client applications.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📋 PROJECT-SPECIFIC STYLE GUIDE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
COMMIT MESSAGE FORMAT
---------------------
<type>(<scope>): <subject>
<body>
<footer>
TYPES (in order of frequency)
------------------------------
feat - New features (35% of commits)
fix - Bug fixes (30% of commits)
docs - Documentation (16% of commits)
refactor - Code restructuring (8% of commits)
test - Testing (5% of commits)
chore - Maintenance (6% of commits)
COMMON SCOPES (use these)
-------------------------
auth - Authentication/authorization (18%)
api - Backend API (15%)
ui - User interface (12%)
db - Database (9%)
docs - Documentation (9%)
config - Configuration (6%)
STYLE RULES (current project standards)
----------------------------------------
✓ Use imperative mood ("add" not "added")
✓ Capitalize first letter of subject
✓ No period at end of subject
✓ Wrap body at 72 characters
✓ Blank line between subject and body
✓ Reference issues when applicable
✓ Use bullet points in body
EXAMPLES FROM THIS PROJECT
---------------------------
feat(auth): implement OAuth2 authentication
- Add OAuth2 flow implementation
- Support Google and GitHub providers
- Include middleware for route protection
Closes #123
---
fix(api): handle null pointer in user endpoint
The endpoint was not checking for null user objects
before accessing properties, causing crashes.
Fixes #456
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 CONSISTENCY METRICS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Format: 87% ████████████████████████░░░
Conventions: 92% ██████████████████████████░
Content: 67% ███████████████████░░░░░░░░
Overall: 85% █████████████████████░░░░░
NEXT STEPS
----------
1. Share this guide with team
2. Add to CONTRIBUTING.md
3. Configure git commit template
4. Set up pre-commit hooks
5. Review in team meeting
AUTOMATION OPPORTUNITIES
-------------------------
• Pre-commit hook to validate format
• Automated changelog generation
• Semantic version bumping
• Commit message linting (commitlint)
```
**JSON Format:**
```json
{
"analysis_type": "convention_recommendations",
"commits_analyzed": 50,
"branch": "main",
"consistency_score": 85,
"generated_date": "2024-03-10",
"recommendations": {
"high_priority": [
{
"id": 1,
"title": "Continue Using Conventional Commits",
"status": "good",
"current_usage": 87,
"target_usage": 90,
"action": "Maintain current practice",
"benefit": "Enables automated tooling",
"examples": [
"feat(auth): implement OAuth2 authentication",
"fix(api): handle null pointer"
]
}
],
"medium_priority": [...],
"low_priority": [...]
},
"style_guide": {
"format": "<type>(<scope>): <subject>",
"types": [
{"name": "feat", "percentage": 35, "description": "New features"},
{"name": "fix", "percentage": 30, "description": "Bug fixes"}
],
"scopes": [
{"name": "auth", "percentage": 18, "description": "Authentication"},
{"name": "api", "percentage": 15, "description": "Backend API"}
],
"rules": [
"Use imperative mood",
"Capitalize first letter",
"No period at end"
]
},
"automation": [
"Pre-commit hook validation",
"Automated changelog",
"Semantic versioning"
]
}
```
### 7. Recommendation Generation Algorithm
```python
def generate_recommendations(analysis_data):
"""
Generate prioritized recommendations based on analysis.
"""
recommendations = {
'high_priority': [],
'medium_priority': [],
'low_priority': []
}
# Check conventional commits usage
if analysis_data['conventional_commits_pct'] < 50:
recommendations['high_priority'].append({
'title': 'Adopt Conventional Commits',
'action': 'Migrate to conventional commits format',
'reason': 'Low usage ({}%)'.format(
analysis_data['conventional_commits_pct']
)
})
elif analysis_data['conventional_commits_pct'] < 80:
recommendations['medium_priority'].append({
'title': 'Increase Conventional Commits Usage',
'action': 'Encourage team to use format consistently'
})
# Check subject line length
avg_length = analysis_data['avg_subject_length']
if avg_length > 60:
recommendations['high_priority'].append({
'title': 'Reduce Subject Line Length',
'action': 'Keep subjects under 50 characters',
'current': avg_length
})
# Check imperative mood
if analysis_data['imperative_mood_pct'] < 80:
recommendations['high_priority'].append({
'title': 'Use Imperative Mood Consistently',
'action': 'Use "add" not "added", "fix" not "fixed"'
})
# More checks...
return recommendations
```
## Error Handling
**Insufficient data:**
- Warning: "Limited data (< 20 commits), recommendations may be less accurate"
- Provide recommendations with confidence scores
**No patterns detected:**
- Return: "No clear patterns detected. Consider establishing conventions."
- Suggest: Standard conventional commits format as starting point
**Mixed conventions:**
- Identify: "Multiple convention styles detected (X% conventional, Y% other)"
- Recommend: "Migrate to single consistent style"
## Integration Usage
**By commit-assistant agent:**
```
New developer onboarding:
→ Invoke: /history-analysis suggest-conventions
→ Present: Project-specific style guide
→ Configure: Git commit template
```
**By team lead:**
```
Improving consistency:
→ Run: /history-analysis suggest-conventions
→ Review: High-priority recommendations
→ Implement: Top 3 improvements
→ Document: In CONTRIBUTING.md
```
## Success Criteria
Operation succeeds when:
- [x] All analysis data gathered
- [x] Recommendations prioritized correctly
- [x] Style guide generated
- [x] Examples provided
- [x] Actionable guidance included
- [x] Automation opportunities identified
## Performance
- **Analysis Time:** ~3-5 seconds for complete analysis
- **Recommendation Generation:** ~1 second
- **Total Time:** ~4-6 seconds