gh-cskiro-claudex-meta-tools/skills/insight-skill-generator/CHANGELOG.md

Changelog

All notable changes to the insight-skill-generator skill will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.1.0] - 2025-11-16

Added

• Phase 1: Insight Discovery and Parsing

  • Automatic discovery of insights in docs/lessons-learned/ directory
  • Parse insight files with session metadata extraction
  • Build structured inventory with keywords and categorization
  • Support for multiple insight categories (testing, architecture, hooks-and-events, etc.)

• Phase 2: Smart Clustering

  • Keyword-based similarity analysis
  • Multi-factor scoring (category, keywords, temporal proximity, content overlap)
  • Automatic cluster formation with configurable thresholds
  • Standalone high-quality insight detection
  • Sub-clustering for large insight groups
  • Interactive cluster review and customization

• Phase 3: Interactive Skill Design

  • Intelligent skill naming from insight keywords
  • Auto-generated descriptions with trigger phrases
  • Complexity assessment (minimal/standard/complex)
  • Pattern selection (phase-based/mode-based/validation/data-processing)
  • Content-to-structure mapping
  • Workflow/phase definition
  • Preview and customization before generation

• Phase 4: Skill Generation

  • Complete SKILL.md generation with proper frontmatter
  • README.md with usage examples
  • plugin.json with marketplace metadata
  • CHANGELOG.md initialization
  • data/insights-reference.md with original insights
  • examples/ directory with code samples
  • templates/ directory with actionable checklists
  • Comprehensive validation against Anthropic standards

• Phase 5: Installation and Testing

  • Flexible installation (project-specific or global)
  • Conflict detection and resolution
  • Post-installation validation
  • Skill loading verification
  • Testing guidance with trigger phrases
  • Refinement suggestions

• Configuration System

  • data/clustering-config.yaml - Tunable similarity rules and thresholds
  • data/skill-templates-map.yaml - Insight-to-pattern mappings
  • data/quality-checklist.md - Validation criteria

• Template System

  • templates/insight-based-skill.md.j2 - SKILL.md structure reference
  • templates/insight-reference.md.j2 - Insights consolidation pattern
  • templates/insight-checklist.md.j2 - Actionable checklist pattern

• Documentation

  • Comprehensive SKILL.md with 5-phase workflow
  • User-friendly README.md with quick start guide
  • Troubleshooting section for common issues
  • Example outputs and generated skills

Features

• Smart Clustering: Analyzes insights using keyword similarity, category matching, and temporal proximity
• Hybrid Approach: Generates standalone skills from single insights or comprehensive skills from clusters
• Interactive Guided: User reviews and customizes every design decision
• Quality Validation: Ensures generated skills meet Anthropic standards
• Pattern Recognition: Automatically selects appropriate skill pattern based on insight content
• Deduplication: Prevents creating skills that duplicate existing functionality

Integration

• Integrates with extract-explanatory-insights hook
• Reads from docs/lessons-learned/ directory structure
• Supports all insight categories from the hook (testing, configuration, hooks-and-events, security, performance, architecture, version-control, react, typescript, general)

Supported Patterns

• Phase-based: Linear workflows with sequential steps
• Mode-based: Multiple distinct approaches for same domain
• Validation: Analysis and checking patterns
• Data-processing: Transform or analyze data patterns

Complexity Levels

• Minimal: Single insight, basic structure (SKILL.md, README, plugin.json, CHANGELOG)
• Standard: 2-4 insights with reference materials and examples
• Complex: 5+ insights with comprehensive templates and multiple examples

Known Limitations

• Requires docs/lessons-learned/ directory structure from extract-explanatory-insights hook
• Clustering algorithm is keyword-based (not ML-powered)
• Templates use Jinja2 syntax for documentation reference only (not programmatically rendered)
• First release - patterns and thresholds may need tuning based on usage

Notes

• Generated from research on extract-explanatory-insights hook
• Based on Anthropic's official skill creation patterns
• Follows skill-creator's guided creation approach
• Initial thresholds (cluster_minimum: 0.6, standalone_quality: 0.8) are starting points and may need adjustment

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Future Enhancements (Planned)

• Auto-detection of existing skill overlap to prevent duplication
• ML-based clustering for better semantic grouping
• Skill versioning support (updating existing skills with new insights)
• Team collaboration features (merging insights from multiple developers)
• Export skills to Claudex marketplace format
• Integration with cc-insights skill for enhanced pattern detection
• Batch generation mode for processing multiple projects
• Custom template support for organization-specific skill patterns