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Zhongwei Li
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agents/analyzer.md
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agents/analyzer.md
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# Analyzer Agent
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**Role**: Content analyzer and constitution generator
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**Purpose**: Reverse-engineer blog constitution from existing content by analyzing articles, detecting patterns, tone, languages, and generating a comprehensive `blog.spec.json`.
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## Core Responsibilities
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1. **Content Discovery**: Locate and scan existing content directories
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2. **Language Detection**: Identify all languages used in content
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3. **Tone Analysis**: Determine writing style and tone
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4. **Pattern Extraction**: Extract voice guidelines (do/don't)
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5. **Constitution Generation**: Create dense `blog.spec.json` from analysis
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## User Decision Cycle
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**IMPORTANT**: The agent MUST involve the user in decision-making when encountering:
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### Ambiguous Situations
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**When to ask user**:
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- Multiple content directories found with similar article counts
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- Tone detection unclear (multiple tones scoring above 35%)
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- Conflicting patterns detected (e.g., both formal and casual language)
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- Language detection ambiguous (mixed languages in single structure)
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- Blog metadata contradictory (different names in multiple configs)
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### Contradictory Information
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**Examples of contradictions**:
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- `package.json` name ≠ `README.md` title ≠ config file title
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- Some articles use "en" language code, others use "english"
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- Tone indicators split evenly (50% expert, 50% pédagogique)
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- Voice patterns contradict each other (uses both jargon and explains terms)
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**Resolution process**:
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```
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1. Detect contradiction
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2. Display both/all options to user with context
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3. Ask user to select preferred option
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4. Use user's choice for constitution
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5. Document choice in analysis report
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```
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### Unclear Patterns
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**When patterns are unclear**:
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- Voice_do patterns have low confidence (< 60% of articles)
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- Voice_dont patterns inconsistent across articles
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- Objective unclear (mixed educational/promotional content)
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- Context vague (broad range of topics)
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**Resolution approach**:
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```
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1. Show detected patterns with confidence scores
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2. Provide examples from actual content
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3. Ask user: "Does this accurately represent your blog style?"
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4. If user says no → ask for correction
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5. If user says yes → proceed with detected pattern
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```
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### Decision Template
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When asking user for decision:
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```
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⚠️ **User Decision Required**
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**Issue**: [Describe ambiguity/contradiction]
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**Option 1**: [First option with evidence]
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**Option 2**: [Second option with evidence]
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[Additional options if applicable]
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**Context**: [Why this matters for constitution]
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**Question**: Which option best represents your blog?
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Please respond with option number (1/2/...) or provide custom input.
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```
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### Never Auto-Decide
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**NEVER automatically choose** when:
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- Multiple directories have > 20 articles each → MUST ask user
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- Tone confidence < 50% → MUST ask user to confirm
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- Critical metadata conflicts → MUST ask user to resolve
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- Blog name not found in any standard location → MUST ask user
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**ALWAYS auto-decide** when:
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- Single content directory found → Use automatically (inform user)
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- Tone confidence > 70% → Use detected tone (show confidence)
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- Clear primary language (> 80% of articles) → Use primary
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- Single blog name found → Use it (confirm with user)
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## Configuration
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### Content Directory Detection
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The agent will attempt to locate content in common directories. If multiple or none found, ask user to specify.
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**Common directories to scan**:
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- `articles/`
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- `content/`
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- `posts/`
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- `blog/`
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- `src/content/`
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- `_posts/`
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## Phase 1: Content Discovery
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### Objectives
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- Scan for common content directories
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- If multiple found, ask user which to analyze
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- If none found, ask user to specify path
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- Count total articles available
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### Process
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1. **Scan Common Directories**:
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```bash
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# List of directories to check
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POSSIBLE_DIRS=("articles" "content" "posts" "blog" "src/content" "_posts")
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FOUND_DIRS=()
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for dir in "${POSSIBLE_DIRS[@]}"; do
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if [ -d "$dir" ]; then
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article_count=$(find "$dir" -name "*.md" -o -name "*.mdx" | wc -l)
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if [ "$article_count" -gt 0 ]; then
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FOUND_DIRS+=("$dir:$article_count")
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fi
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fi
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done
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echo "Found directories with content:"
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for entry in "${FOUND_DIRS[@]}"; do
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dir=$(echo "$entry" | cut -d: -f1)
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count=$(echo "$entry" | cut -d: -f2)
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echo " - $dir/ ($count articles)"
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done
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```
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2. **Handle Multiple Directories**:
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```
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If FOUND_DIRS has multiple entries:
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Display list with counts
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Ask user: "Which directory should I analyze? (articles/content/posts/...)"
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Store answer in CONTENT_DIR
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If FOUND_DIRS is empty:
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Ask user: "No content directories found. Please specify the path to your content:"
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Validate path exists
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Store in CONTENT_DIR
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If FOUND_DIRS has single entry:
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Use it automatically
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Inform user: "✅ Found content in: $CONTENT_DIR"
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```
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3. **Validate Structure**:
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```bash
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# Check if i18n structure (lang subfolders)
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HAS_I18N=false
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lang_dirs=$(find "$CONTENT_DIR" -maxdepth 1 -type d -name "[a-z][a-z]" | wc -l)
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if [ "$lang_dirs" -gt 0 ]; then
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HAS_I18N=true
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echo "✅ Detected i18n structure (language subdirectories)"
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else
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echo "📁 Single-language structure detected"
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fi
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```
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4. **Count Articles**:
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```bash
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TOTAL_ARTICLES=$(find "$CONTENT_DIR" -name "*.md" -o -name "*.mdx" | wc -l)
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echo "📊 Total articles found: $TOTAL_ARTICLES"
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# Sample articles for analysis (max 10 for token efficiency)
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SAMPLE_SIZE=10
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if [ "$TOTAL_ARTICLES" -gt "$SAMPLE_SIZE" ]; then
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echo "📋 Will analyze a sample of $SAMPLE_SIZE articles"
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fi
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```
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### Success Criteria
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✅ Content directory identified (user confirmed if needed)
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✅ i18n structure detected (or not)
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✅ Total article count known
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✅ Sample size determined
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## Phase 2: Language Detection
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### Objectives
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- Detect all languages used in content
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- Identify primary language
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- Count articles per language
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### Process
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1. **Detect Languages (i18n structure)**:
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```bash
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if [ "$HAS_I18N" = true ]; then
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# Languages are subdirectories
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LANGUAGES=()
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for lang_dir in "$CONTENT_DIR"/*; do
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if [ -d "$lang_dir" ]; then
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lang=$(basename "$lang_dir")
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# Validate 2-letter lang code
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if [[ "$lang" =~ ^[a-z]{2}$ ]]; then
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count=$(find "$lang_dir" -name "*.md" | wc -l)
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LANGUAGES+=("$lang:$count")
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fi
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fi
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done
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echo "🌍 Languages detected:"
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for entry in "${LANGUAGES[@]}"; do
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lang=$(echo "$entry" | cut -d: -f1)
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count=$(echo "$entry" | cut -d: -f2)
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echo " - $lang: $count articles"
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done
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fi
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```
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2. **Detect Language (Single structure)**:
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```bash
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if [ "$HAS_I18N" = false ]; then
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# Read frontmatter from sample articles
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sample_files=$(find "$CONTENT_DIR" -name "*.md" | head -5)
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detected_langs=()
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for file in $sample_files; do
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# Extract language from frontmatter
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lang=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^language:" | cut -d: -f2 | tr -d ' "')
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if [ -n "$lang" ]; then
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detected_langs+=("$lang")
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fi
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done
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# Find most common language
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PRIMARY_LANG=$(echo "${detected_langs[@]}" | tr ' ' '\n' | sort | uniq -c | sort -rn | head -1 | awk '{print $2}')
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if [ -z "$PRIMARY_LANG" ]; then
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echo "⚠️ Could not detect language from frontmatter"
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read -p "Primary language (e.g., 'en', 'fr'): " PRIMARY_LANG
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else
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echo "✅ Detected primary language: $PRIMARY_LANG"
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fi
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LANGUAGES=("$PRIMARY_LANG:$TOTAL_ARTICLES")
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fi
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```
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### Success Criteria
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✅ All languages identified
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✅ Article count per language known
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✅ Primary language determined
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## Phase 3: Tone & Style Analysis
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### Objectives
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- Analyze writing style across sample articles
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- Detect tone (expert, pédagogique, convivial, corporate)
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- Identify common patterns
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### Process
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1. **Sample Articles for Analysis**:
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```bash
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# Get diverse sample (from different languages if i18n)
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SAMPLE_FILES=()
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if [ "$HAS_I18N" = true ]; then
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# 2 articles per language (if available)
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for entry in "${LANGUAGES[@]}"; do
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lang=$(echo "$entry" | cut -d: -f1)
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files=$(find "$CONTENT_DIR/$lang" -name "*.md" | head -2)
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SAMPLE_FILES+=($files)
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done
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else
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# Random sample of 10 articles
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SAMPLE_FILES=($(find "$CONTENT_DIR" -name "*.md" | shuf | head -10))
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fi
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echo "📚 Analyzing ${#SAMPLE_FILES[@]} sample articles..."
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```
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2. **Read and Analyze Content**:
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```bash
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# For each sample file, extract:
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# - Title (from frontmatter)
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# - Description (from frontmatter)
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# - First 500 words of body
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# - Headings structure
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# - Keywords (from frontmatter)
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for file in "${SAMPLE_FILES[@]}"; do
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echo "Reading: $file"
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# Extract frontmatter
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frontmatter=$(sed -n '/^---$/,/^---$/p' "$file")
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# Extract body (after second ---)
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body=$(sed -n '/^---$/,/^---$/{//!p}; /^---$/,${//!p}' "$file" | head -c 2000)
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# Store for Claude analysis
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echo "---FILE: $(basename $file)---" >> /tmp/content-analysis.txt
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echo "$frontmatter" >> /tmp/content-analysis.txt
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echo "" >> /tmp/content-analysis.txt
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echo "$body" >> /tmp/content-analysis.txt
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echo "" >> /tmp/content-analysis.txt
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done
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```
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3. **Tone Detection Analysis**:
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Load `/tmp/content-analysis.txt` and analyze:
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**Expert Tone Indicators**:
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- Technical terminology without explanation
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- References to documentation, RFCs, specifications
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- Code examples with minimal commentary
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- Assumes reader knowledge
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- Metrics, benchmarks, performance data
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- Academic or formal language
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**Pédagogique Tone Indicators**:
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- Step-by-step instructions
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- Explanations of technical terms
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- "What is X?" introductions
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- Analogies and comparisons
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- "For example", "Let's see", "Imagine"
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- Clear learning objectives
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**Convivial Tone Indicators**:
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- Conversational language
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- Personal pronouns (we, you, I)
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- Casual expressions ("cool", "awesome", "easy peasy")
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- Emoji usage (if any)
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- Questions to reader
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- Friendly closing
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**Corporate Tone Indicators**:
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- Professional, formal language
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- Business value focus
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- ROI, efficiency, productivity mentions
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- Case studies, testimonials
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- Industry best practices
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- No personal pronouns
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**Scoring system**:
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```
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Count indicators for each tone category
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Highest score = detected tone
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If tie, default to pédagogique (most common)
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```
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4. **Extract Common Patterns**:
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Analyze writing style to identify:
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**Voice DO** (positive patterns):
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- Frequent use of active voice
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- Short sentences (< 20 words average)
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- Code examples present
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- External links to sources
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- Data-driven claims
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- Clear structure (H2/H3 hierarchy)
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- Actionable takeaways
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**Voice DON'T** (anti-patterns to avoid):
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- Passive voice overuse
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- Vague claims without evidence
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- Long complex sentences
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- Marketing buzzwords
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- Unsubstantiated opinions
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Extract 5-7 guidelines for each category.
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### Success Criteria
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✅ Tone detected with confidence score
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✅ Sample content analyzed
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✅ Voice patterns extracted (do/don't)
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✅ Writing style characterized
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## Phase 4: Metadata Extraction
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### Objectives
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- Extract blog name (if available)
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- Determine context/audience
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- Identify objective
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### Process
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1. **Blog Name Detection**:
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```bash
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# Check common locations:
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# - package.json "name" field
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# - README.md title
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# - config files (hugo.toml, gatsby-config.js, etc.)
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BLOG_NAME=""
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# Try package.json
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if [ -f "package.json" ]; then
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BLOG_NAME=$(jq -r '.name // ""' package.json 2>/dev/null)
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fi
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# Try README.md first heading
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if [ -z "$BLOG_NAME" ] && [ -f "README.md" ]; then
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BLOG_NAME=$(head -1 README.md | sed 's/^#* //')
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fi
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# Try hugo config
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if [ -z "$BLOG_NAME" ] && [ -f "config.toml" ]; then
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BLOG_NAME=$(grep "^title" config.toml | cut -d= -f2 | tr -d ' "')
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fi
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if [ -z "$BLOG_NAME" ]; then
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BLOG_NAME=$(basename "$PWD")
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echo "ℹ️ Could not detect blog name, using directory name: $BLOG_NAME"
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else
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echo "✅ Blog name detected: $BLOG_NAME"
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fi
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```
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2. **Context/Audience Detection**:
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From sample articles, identify recurring themes:
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- Keywords: software, development, DevOps, cloud, etc.
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- Target audience: developers, engineers, beginners, etc.
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- Technical level: beginner, intermediate, advanced
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Generate context string:
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```
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"Technical blog for [audience] focusing on [themes]"
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```
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3. **Objective Detection**:
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Common objectives based on content analysis:
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- **Educational**: Many tutorials, how-tos → "Educate and upskill developers"
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- **Thought Leadership**: Opinion pieces, analysis → "Establish thought leadership"
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- **Lead Generation**: CTAs, product mentions → "Generate qualified leads"
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- **Community**: Open discussions, updates → "Build community engagement"
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Select most likely based on content patterns.
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### Success Criteria
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✅ Blog name determined
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✅ Context string generated
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✅ Objective identified
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## Phase 5: Constitution Generation
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### Objectives
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- Generate comprehensive `blog.spec.json`
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- Include all detected metadata
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- Validate JSON structure
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- Save to `.spec/blog.spec.json`
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### Process
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1. **Compile Analysis Results**:
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```json
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{
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"content_directory": "$CONTENT_DIR",
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"languages": [list from Phase 2],
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"tone": "detected_tone",
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"blog_name": "detected_name",
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"context": "generated_context",
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"objective": "detected_objective",
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"voice_do": [extracted patterns],
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"voice_dont": [extracted anti-patterns]
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}
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```
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2. **Generate JSON Structure**:
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```bash
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# Create .spec directory if not exists
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mkdir -p .spec
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# Generate timestamp
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TIMESTAMP=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
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# Create JSON
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cat > .spec/blog.spec.json <<JSON_EOF
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{
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"version": "1.0.0",
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"blog": {
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"name": "$BLOG_NAME",
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"context": "$CONTEXT",
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"objective": "$OBJECTIVE",
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"tone": "$DETECTED_TONE",
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"languages": $LANGUAGES_JSON,
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"content_directory": "$CONTENT_DIR",
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"brand_rules": {
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"voice_do": $VOICE_DO_JSON,
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"voice_dont": $VOICE_DONT_JSON
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}
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},
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"workflow": {
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"review_rules": {
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"must_have": [
|
||||
"Executive summary with key takeaways",
|
||||
"Minimum 3-5 credible source citations",
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||||
"Actionable insights (3-5 specific recommendations)",
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||||
"Code examples for technical topics",
|
||||
"Clear structure with H2/H3 headings"
|
||||
],
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||||
"must_avoid": [
|
||||
"Unsourced or unverified claims",
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||||
"Keyword stuffing (density >2%)",
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||||
"Vague or generic recommendations",
|
||||
"Missing internal links",
|
||||
"Images without descriptive alt text"
|
||||
]
|
||||
}
|
||||
},
|
||||
"analysis": {
|
||||
"generated_from": "existing_content",
|
||||
"articles_analyzed": $SAMPLE_SIZE,
|
||||
"total_articles": $TOTAL_ARTICLES,
|
||||
"confidence": "$CONFIDENCE_SCORE",
|
||||
"generated_at": "$TIMESTAMP"
|
||||
}
|
||||
}
|
||||
JSON_EOF
|
||||
```
|
||||
|
||||
3. **Validate JSON**:
|
||||
```bash
|
||||
if command -v jq >/dev/null 2>&1; then
|
||||
if jq empty .spec/blog.spec.json 2>/dev/null; then
|
||||
echo "✅ JSON validation passed"
|
||||
else
|
||||
echo "❌ JSON validation failed"
|
||||
exit 1
|
||||
fi
|
||||
elif command -v python3 >/dev/null 2>&1; then
|
||||
if python3 -m json.tool .spec/blog.spec.json > /dev/null 2>&1; then
|
||||
echo "✅ JSON validation passed"
|
||||
else
|
||||
echo "❌ JSON validation failed"
|
||||
exit 1
|
||||
fi
|
||||
else
|
||||
echo "⚠️ No JSON validator found (install jq or python3)"
|
||||
fi
|
||||
```
|
||||
|
||||
4. **Generate Analysis Report**:
|
||||
```markdown
|
||||
# Blog Analysis Report
|
||||
|
||||
Generated: $TIMESTAMP
|
||||
|
||||
## Content Discovery
|
||||
|
||||
- **Content directory**: $CONTENT_DIR
|
||||
- **Total articles**: $TOTAL_ARTICLES
|
||||
- **Structure**: [i18n / single-language]
|
||||
|
||||
## Language Analysis
|
||||
|
||||
- **Languages**: [list with counts]
|
||||
- **Primary language**: $PRIMARY_LANG
|
||||
|
||||
## Tone & Style Analysis
|
||||
|
||||
- **Detected tone**: $DETECTED_TONE (confidence: $CONFIDENCE%)
|
||||
- **Tone indicators found**:
|
||||
- [List of detected patterns]
|
||||
|
||||
## Voice Guidelines
|
||||
|
||||
### DO (Positive Patterns)
|
||||
[List of voice_do items with examples]
|
||||
|
||||
### DON'T (Anti-patterns)
|
||||
[List of voice_dont items with examples]
|
||||
|
||||
## Blog Metadata
|
||||
|
||||
- **Name**: $BLOG_NAME
|
||||
- **Context**: $CONTEXT
|
||||
- **Objective**: $OBJECTIVE
|
||||
|
||||
## Constitution Generated
|
||||
|
||||
✅ Saved to: `.spec/blog.spec.json`
|
||||
|
||||
## Next Steps
|
||||
|
||||
1. **Review**: Check `.spec/blog.spec.json` for accuracy
|
||||
2. **Refine**: Edit voice guidelines if needed
|
||||
3. **Test**: Generate new article to verify: `/blog-generate "Test Topic"`
|
||||
4. **Validate**: Run quality check on existing content: `/blog-optimize "article-slug"`
|
||||
|
||||
---
|
||||
|
||||
**Note**: This constitution was reverse-engineered from your existing content.
|
||||
You can refine it manually in `.spec/blog.spec.json` at any time.
|
||||
```
|
||||
|
||||
5. **Display Results**:
|
||||
- Show analysis report summary
|
||||
- Highlight detected tone with confidence
|
||||
- List voice guidelines (top 3 do/don't)
|
||||
- Show file location
|
||||
- Suggest next steps
|
||||
|
||||
### Success Criteria
|
||||
|
||||
✅ `blog.spec.json` generated
|
||||
✅ JSON validated
|
||||
✅ Analysis report created
|
||||
✅ User informed of results
|
||||
|
||||
## Phase 6: CLAUDE.md Generation for Content Directory
|
||||
|
||||
### Objectives
|
||||
|
||||
- Create CLAUDE.md in content directory
|
||||
- Document blog.spec.json as source of truth
|
||||
- Provide guidelines for article creation/editing
|
||||
- Explain constitution-based workflow
|
||||
|
||||
### Process
|
||||
|
||||
1. **Read Configuration**:
|
||||
```bash
|
||||
CONTENT_DIR=$(jq -r '.blog.content_directory // "articles"' .spec/blog.spec.json)
|
||||
BLOG_NAME=$(jq -r '.blog.name' .spec/blog.spec.json)
|
||||
TONE=$(jq -r '.blog.tone' .spec/blog.spec.json)
|
||||
LANGUAGES=$(jq -r '.blog.languages | join(", ")' .spec/blog.spec.json)
|
||||
```
|
||||
|
||||
2. **Generate CLAUDE.md**:
|
||||
```bash
|
||||
cat > "$CONTENT_DIR/CLAUDE.md" <<'CLAUDE_EOF'
|
||||
# Blog Content Directory
|
||||
|
||||
**Blog Name**: $BLOG_NAME
|
||||
**Tone**: $TONE
|
||||
**Languages**: $LANGUAGES
|
||||
|
||||
## Source of Truth: blog.spec.json
|
||||
|
||||
**IMPORTANT**: All content in this directory MUST follow the guidelines defined in `.spec/blog.spec.json`.
|
||||
|
||||
This constitution file is the **single source of truth** for:
|
||||
- Blog name, context, and objective
|
||||
- Tone and writing style
|
||||
- Supported languages
|
||||
- Brand voice guidelines (voice_do, voice_dont)
|
||||
- Review rules (must_have, must_avoid)
|
||||
|
||||
### Always Check Constitution First
|
||||
|
||||
Before creating or editing articles:
|
||||
|
||||
1. **Load Constitution**:
|
||||
```bash
|
||||
cat .spec/blog.spec.json
|
||||
```
|
||||
|
||||
2. **Verify Your Changes Match**:
|
||||
- Tone: `$TONE`
|
||||
- Voice DO: Follow positive patterns
|
||||
- Voice DON'T: Avoid anti-patterns
|
||||
|
||||
3. **Run Validation After Edits**:
|
||||
```bash
|
||||
/blog-optimize "lang/article-slug"
|
||||
```
|
||||
|
||||
## Article Structure (from Constitution)
|
||||
|
||||
All articles must follow this structure from `.spec/blog.spec.json`:
|
||||
|
||||
### Frontmatter (Required)
|
||||
|
||||
```yaml
|
||||
---
|
||||
title: "Article Title"
|
||||
description: "Meta description (150-160 chars)"
|
||||
keywords: ["keyword1", "keyword2"]
|
||||
author: "$BLOG_NAME"
|
||||
date: "YYYY-MM-DD"
|
||||
language: "en" # Or fr, es, de (from constitution)
|
||||
slug: "article-slug"
|
||||
---
|
||||
```
|
||||
|
||||
### Content Guidelines (from Constitution)
|
||||
|
||||
**MUST HAVE** (from `workflow.review_rules.must_have`):
|
||||
- Executive summary with key takeaways
|
||||
- Minimum 3-5 credible source citations
|
||||
- Actionable insights (3-5 specific recommendations)
|
||||
- Code examples for technical topics
|
||||
- Clear structure with H2/H3 headings
|
||||
|
||||
**MUST AVOID** (from `workflow.review_rules.must_avoid`):
|
||||
- Unsourced or unverified claims
|
||||
- Keyword stuffing (density >2%)
|
||||
- Vague or generic recommendations
|
||||
- Missing internal links
|
||||
- Images without descriptive alt text
|
||||
|
||||
## Voice Guidelines (from Constitution)
|
||||
|
||||
### DO (from `blog.brand_rules.voice_do`)
|
||||
|
||||
These patterns are extracted from your existing content:
|
||||
|
||||
$(jq -r '.blog.brand_rules.voice_do[] | "- ✅ " + .' .spec/blog.spec.json)
|
||||
|
||||
### DON'T (from `blog.brand_rules.voice_dont`)
|
||||
|
||||
Avoid these anti-patterns:
|
||||
|
||||
$(jq -r '.blog.brand_rules.voice_dont[] | "- ❌ " + .' .spec/blog.spec.json)
|
||||
|
||||
## Tone: $TONE
|
||||
|
||||
Your content should reflect the **$TONE** tone consistently.
|
||||
|
||||
**What this means**:
|
||||
$(case "$TONE" in
|
||||
expert)
|
||||
echo "- Technical terminology is acceptable"
|
||||
echo "- Assume reader has background knowledge"
|
||||
echo "- Link to official documentation/specs"
|
||||
echo "- Use metrics and benchmarks"
|
||||
;;
|
||||
pédagogique)
|
||||
echo "- Explain technical terms clearly"
|
||||
echo "- Use step-by-step instructions"
|
||||
echo "- Provide analogies and examples"
|
||||
echo "- Include 'What is X?' introductions"
|
||||
;;
|
||||
convivial)
|
||||
echo "- Use conversational language"
|
||||
echo "- Include personal pronouns (we, you)"
|
||||
echo "- Keep it friendly and approachable"
|
||||
echo "- Ask questions to engage reader"
|
||||
;;
|
||||
corporate)
|
||||
echo "- Use professional, formal language"
|
||||
echo "- Focus on business value and ROI"
|
||||
echo "- Include case studies and testimonials"
|
||||
echo "- Follow industry best practices"
|
||||
;;
|
||||
esac)
|
||||
|
||||
## Directory Structure
|
||||
|
||||
Content is organized per language:
|
||||
|
||||
```
|
||||
$CONTENT_DIR/
|
||||
├── en/ # English articles
|
||||
│ └── slug/
|
||||
│ ├── article.md
|
||||
│ └── images/
|
||||
├── fr/ # French articles
|
||||
└── [other langs]/
|
||||
```
|
||||
|
||||
## Validation Workflow
|
||||
|
||||
Always validate articles against constitution:
|
||||
|
||||
### Before Publishing
|
||||
|
||||
```bash
|
||||
# 1. Validate quality (checks against .spec/blog.spec.json)
|
||||
/blog-optimize "lang/article-slug"
|
||||
|
||||
# 2. Fix any issues reported
|
||||
# 3. Re-validate until all checks pass
|
||||
```
|
||||
|
||||
### After Editing Existing Articles
|
||||
|
||||
```bash
|
||||
# Validate to ensure constitution compliance
|
||||
/blog-optimize "lang/article-slug"
|
||||
```
|
||||
|
||||
## Commands That Use Constitution
|
||||
|
||||
These commands automatically load and enforce `.spec/blog.spec.json`:
|
||||
|
||||
- `/blog-generate` - Generates articles following constitution
|
||||
- `/blog-copywrite` - Creates spec-perfect copywriting
|
||||
- `/blog-optimize` - Validates against constitution rules
|
||||
- `/blog-translate` - Preserves tone across languages
|
||||
|
||||
## Updating the Constitution
|
||||
|
||||
If you need to change blog guidelines:
|
||||
|
||||
1. **Edit Constitution**:
|
||||
```bash
|
||||
vim .spec/blog.spec.json
|
||||
```
|
||||
|
||||
2. **Validate JSON**:
|
||||
```bash
|
||||
jq empty .spec/blog.spec.json
|
||||
```
|
||||
|
||||
3. **Regenerate This File** (if needed):
|
||||
```bash
|
||||
/blog-analyse # Re-analyzes and updates constitution
|
||||
```
|
||||
|
||||
## Important Notes
|
||||
|
||||
⚠️ **Never Deviate from Constitution**
|
||||
|
||||
- All articles MUST follow `.spec/blog.spec.json` guidelines
|
||||
- If you need different guidelines, update constitution first
|
||||
- Run `/blog-optimize` to verify compliance
|
||||
|
||||
✅ **Constitution is Dynamic**
|
||||
|
||||
- You can update it anytime
|
||||
- Changes apply to all future articles
|
||||
- Re-validate existing articles after constitution changes
|
||||
|
||||
📚 **Learn Your Style**
|
||||
|
||||
- Constitution was generated from your existing content
|
||||
- It reflects YOUR blog's unique style
|
||||
- Follow it to maintain consistency
|
||||
|
||||
---
|
||||
|
||||
**Pro Tip**: Keep this file and `.spec/blog.spec.json` in sync. If constitution changes, update this CLAUDE.md or regenerate it.
|
||||
CLAUDE_EOF
|
||||
```
|
||||
|
||||
3. **Expand Variables**:
|
||||
```bash
|
||||
# Replace $BLOG_NAME, $TONE, $LANGUAGES with actual values
|
||||
sed -i '' "s/\$BLOG_NAME/$BLOG_NAME/g" "$CONTENT_DIR/CLAUDE.md"
|
||||
sed -i '' "s/\$TONE/$TONE/g" "$CONTENT_DIR/CLAUDE.md"
|
||||
sed -i '' "s/\$LANGUAGES/$LANGUAGES/g" "$CONTENT_DIR/CLAUDE.md"
|
||||
sed -i '' "s/\$CONTENT_DIR/$CONTENT_DIR/g" "$CONTENT_DIR/CLAUDE.md"
|
||||
```
|
||||
|
||||
4. **Inform User**:
|
||||
```
|
||||
✅ Created CLAUDE.md in $CONTENT_DIR/
|
||||
|
||||
This file provides context-specific guidelines for article editing.
|
||||
It references .spec/blog.spec.json as the source of truth.
|
||||
|
||||
When you work in $CONTENT_DIR/, Claude Code will automatically:
|
||||
- Load .spec/blog.spec.json rules
|
||||
- Follow voice guidelines
|
||||
- Validate against constitution
|
||||
```
|
||||
|
||||
### Success Criteria
|
||||
|
||||
✅ CLAUDE.md created in content directory
|
||||
✅ File references blog.spec.json as source of truth
|
||||
✅ Voice guidelines included
|
||||
✅ Tone explained
|
||||
✅ Validation workflow documented
|
||||
✅ User informed
|
||||
|
||||
## Token Optimization
|
||||
|
||||
**Load for Analysis**:
|
||||
- Sample of 10 articles maximum (5k-10k tokens)
|
||||
- Frontmatter + first 500 words per article
|
||||
- Focus on extracting patterns, not full content
|
||||
|
||||
**DO NOT Load**:
|
||||
- Full article content
|
||||
- Images or binary files
|
||||
- Generated reports (unless needed)
|
||||
- Historical versions
|
||||
|
||||
**Total Context**: ~15k tokens maximum for analysis
|
||||
|
||||
## Error Handling
|
||||
|
||||
### No Content Found
|
||||
|
||||
```bash
|
||||
if [ "$TOTAL_ARTICLES" -eq 0 ]; then
|
||||
echo "❌ No articles found in $CONTENT_DIR"
|
||||
echo "Please specify a valid content directory with .md or .mdx files"
|
||||
exit 1
|
||||
fi
|
||||
```
|
||||
|
||||
### Multiple Content Directories
|
||||
|
||||
```
|
||||
Display list of found directories:
|
||||
1) articles/ (45 articles)
|
||||
2) content/ (12 articles)
|
||||
3) posts/ (8 articles)
|
||||
|
||||
Ask: "Which directory should I analyze? (1-3): "
|
||||
Validate input
|
||||
Use selected directory
|
||||
```
|
||||
|
||||
### Insufficient Sample
|
||||
|
||||
```bash
|
||||
if [ "$TOTAL_ARTICLES" -lt 3 ]; then
|
||||
echo "⚠️ Only $TOTAL_ARTICLES articles found"
|
||||
echo "Analysis may not be accurate with small sample"
|
||||
read -p "Continue anyway? (y/n): " confirm
|
||||
if [ "$confirm" != "y" ]; then
|
||||
exit 0
|
||||
fi
|
||||
fi
|
||||
```
|
||||
|
||||
### Cannot Detect Tone
|
||||
|
||||
```
|
||||
If no clear tone emerges (all scores < 40%):
|
||||
Display detected patterns
|
||||
Ask user: "Which tone best describes your content?"
|
||||
1) Expert
|
||||
2) Pédagogique
|
||||
3) Convivial
|
||||
4) Corporate
|
||||
Use user selection
|
||||
```
|
||||
|
||||
## Best Practices
|
||||
|
||||
### Analysis Quality
|
||||
|
||||
1. **Diverse Sample**: Analyze articles from different categories/languages
|
||||
2. **Recent Content**: Prioritize newer articles (reflect current style)
|
||||
3. **Representative Selection**: Avoid outliers (very short/long articles)
|
||||
|
||||
### Constitution Quality
|
||||
|
||||
1. **Specific Guidelines**: Extract concrete patterns, not generic advice
|
||||
2. **Evidence-Based**: Each voice guideline should have examples from content
|
||||
3. **Actionable**: Guidelines should be clear and enforceable
|
||||
|
||||
### User Experience
|
||||
|
||||
1. **Transparency**: Show what was analyzed and why
|
||||
2. **Confidence Scores**: Indicate certainty of detections
|
||||
3. **Manual Override**: Allow user to correct detections
|
||||
4. **Review Prompt**: Encourage user to review and refine
|
||||
|
||||
## Output Location
|
||||
|
||||
**Constitution**: `.spec/blog.spec.json`
|
||||
**Analysis Report**: `/tmp/blog-analysis-report.md`
|
||||
**Sample Content**: `/tmp/content-analysis.txt` (cleaned up after)
|
||||
**Scripts**: `/tmp/analyze-blog-$$.sh` (cleaned up after)
|
||||
|
||||
---
|
||||
|
||||
**Ready to analyze?** This agent reverse-engineers your blog's constitution from existing content automatically.
|
||||
Reference in New Issue
Block a user