main
5 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
yusyus
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71b7304a9a |
refactor: Remove legacy config format support (v2.11.0)
BREAKING CHANGE: Legacy config format no longer supported Changes: - ConfigValidator now only accepts unified format with 'sources' array - Removed _validate_legacy() method - Removed convert_legacy_to_unified() and all conversion helpers - Simplified get_sources_by_type() and has_multiple_sources() - Updated __main__ to remove legacy format checks - Converted claude-code.json to unified format - Deleted blender.json (duplicate of blender-unified.json) - Clear error message when legacy format detected Error message shows: - Legacy format was removed in v2.11.0 - Example of old vs new format - Migration guide link Code reduction: -86 lines All 65 tests passing Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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yusyus
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9d26ca5d0a |
Merge branch 'development' into feature/router-quality-improvements
Integrated multi-source support from development branch into feature branch's C3.x auto-cloning and cache system. This merge combines TWO major features: FEATURE BRANCH (C3.x + Cache): - Automatic GitHub repository cloning for C3.x analysis - Hidden .skillseeker-cache/ directory for intermediate files - Cache reuse for faster rebuilds - Enhanced AI skill quality improvements DEVELOPMENT BRANCH (Multi-Source): - Support multiple sources of same type (multiple GitHub repos, PDFs) - List-based data storage with source indexing - New configs: claude-code.json, medusa-mercurjs.json - llms.txt downloader/parser enhancements - New tests: test_markdown_parsing.py, test_multi_source.py CONFLICT RESOLUTIONS: 1. configs/claude-code.json (COMPROMISE): - Kept file with _migration_note (preserves PR #244 work) - Feature branch had deleted it (config migration) - Development branch enhanced it (47 Claude Code doc URLs) 2. src/skill_seekers/cli/unified_scraper.py (INTEGRATED): Applied 8 changes for multi-source support: - List-based storage: {'github': [], 'documentation': [], 'pdf': []} - Source indexing with _source_counters - Unique naming: {name}_github_{idx}_{repo_id} - Unique data files: github_data_{idx}_{repo_id}.json - List append instead of dict assignment - Updated _clone_github_repo(repo_name, idx=0) signature - Applied same logic to _scrape_pdf() 3. src/skill_seekers/cli/unified_skill_builder.py (INTEGRATED): Applied 3 changes for multi-source synthesis: - _load_source_skill_mds(): Glob pattern for multiple sources - _generate_references(): Iterate through github_list - _generate_c3_analysis_references(repo_id): Per-repo C3.x references TESTING STRATEGY: Backward Compatibility: - Single source configs work exactly as before (idx=0) New Capabilities: - Multiple GitHub repos: encode/httpx + facebook/react - Multiple PDFs with unique indexing - Mixed sources: docs + multiple GitHub repos Pipeline Integrity: - Scraper: Multi-source data collection with indexing - Builder: Loads all source SKILL.md files - Synthesis: Merges multiple sources with separators - C3.x: Independent analysis per repo in unique subdirectories Result: Support MULTIPLE sources per type + C3.x analysis + cache system 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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yusyus
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a99e22c639 |
feat: Multi-Source Synthesis Architecture - Rich Standalone Skills + Smart Combination
BREAKING CHANGE: Major architectural improvements to multi-source skill generation This commit implements the complete "Multi-Source Synthesis Architecture" where each source (documentation, GitHub, PDF) generates a rich standalone SKILL.md file before being intelligently synthesized with source-specific formulas. ## 🎯 Core Architecture Changes ### 1. Rich Standalone SKILL.md Generation (Source Parity) Each source now generates comprehensive, production-quality SKILL.md files that can stand alone OR be synthesized with other sources. **GitHub Scraper Enhancements** (+263 lines): - Now generates 300+ line SKILL.md (was ~50 lines) - Integrates C3.x codebase analysis data: - C2.5: API Reference extraction - C3.1: Design pattern detection (27 high-confidence patterns) - C3.2: Test example extraction (215 examples) - C3.7: Architectural pattern analysis - Enhanced sections: - ⚡ Quick Reference with pattern summaries - 📝 Code Examples from real repository tests - 🔧 API Reference from codebase analysis - 🏗️ Architecture Overview with design patterns - ⚠️ Known Issues from GitHub issues - Location: src/skill_seekers/cli/github_scraper.py **PDF Scraper Enhancements** (+205 lines): - Now generates 200+ line SKILL.md (was ~50 lines) - Enhanced content extraction: - 📖 Chapter Overview (PDF structure breakdown) - 🔑 Key Concepts (extracted from headings) - ⚡ Quick Reference (pattern extraction) - 📝 Code Examples: Top 15 (was top 5), grouped by language - Quality scoring and intelligent truncation - Better formatting and organization - Location: src/skill_seekers/cli/pdf_scraper.py **Result**: All 3 sources (docs, GitHub, PDF) now have equal capability to generate rich, comprehensive standalone skills. ### 2. File Organization & Caching System **Problem**: output/ directory cluttered with intermediate files, data, and logs. **Solution**: New `.skillseeker-cache/` hidden directory for all intermediate files. **New Structure**: ``` .skillseeker-cache/{skill_name}/ ├── sources/ # Standalone SKILL.md from each source │ ├── httpx_docs/ │ ├── httpx_github/ │ └── httpx_pdf/ ├── data/ # Raw scraped data (JSON) ├── repos/ # Cloned GitHub repositories (cached for reuse) └── logs/ # Session logs with timestamps output/{skill_name}/ # CLEAN: Only final synthesized skill ├── SKILL.md └── references/ ``` **Benefits**: - ✅ Clean output/ directory (only final product) - ✅ Intermediate files preserved for debugging - ✅ Repository clones cached and reused (faster re-runs) - ✅ Timestamped logs for each scraping session - ✅ All cache dirs added to .gitignore **Changes**: - .gitignore: Added `.skillseeker-cache/` entry - unified_scraper.py: Complete reorganization (+238 lines) - Added cache directory structure - File logging with timestamps - Repository cloning with caching/reuse - Cleaner intermediate file management - Better subprocess logging and error handling ### 3. Config Repository Migration **Moved to separate config repository**: https://github.com/yusufkaraaslan/skill-seekers-configs **Deleted from this repo** (35 config files): - ansible-core.json, astro.json, claude-code.json - django.json, django_unified.json, fastapi.json, fastapi_unified.json - godot.json, godot_unified.json, godot_github.json, godot-large-example.json - react.json, react_unified.json, react_github.json, react_github_example.json - vue.json, kubernetes.json, laravel.json, tailwind.json, hono.json - svelte_cli_unified.json, steam-economy-complete.json - deck_deck_go_local.json, python-tutorial-test.json, example_pdf.json - test-manual.json, fastapi_unified_test.json, fastmcp_github_example.json - example-team/ directory (4 files) **Kept as reference example**: - configs/httpx_comprehensive.json (complete multi-source example) **Rationale**: - Cleaner repository (979+ lines added, 1680 deleted) - Configs managed separately with versioning - Official presets available via `fetch-config` command - Users can maintain private config repos ### 4. AI Enhancement Improvements **enhance_skill.py** (+125 lines): - Better integration with multi-source synthesis - Enhanced prompt generation for synthesized skills - Improved error handling and logging - Support for source metadata in enhancement ### 5. Documentation Updates **CLAUDE.md** (+252 lines): - Comprehensive project documentation - Architecture explanations - Development workflow guidelines - Testing requirements - Multi-source synthesis patterns **SKILL_QUALITY_ANALYSIS.md** (new): - Quality assessment framework - Before/after analysis of httpx skill - Grading rubric for skill quality - Metrics and benchmarks ### 6. Testing & Validation Scripts **test_httpx_skill.sh** (new): - Complete httpx skill generation test - Multi-source synthesis validation - Quality metrics verification **test_httpx_quick.sh** (new): - Quick validation script - Subset of features for rapid testing ## 📊 Quality Improvements | Metric | Before | After | Improvement | |--------|--------|-------|-------------| | GitHub SKILL.md lines | ~50 | 300+ | +500% | | PDF SKILL.md lines | ~50 | 200+ | +300% | | GitHub C3.x integration | ❌ No | ✅ Yes | New feature | | PDF pattern extraction | ❌ No | ✅ Yes | New feature | | File organization | Messy | Clean cache | Major improvement | | Repository cloning | Always fresh | Cached reuse | Faster re-runs | | Logging | Console only | Timestamped files | Better debugging | | Config management | In-repo | Separate repo | Cleaner separation | ## 🧪 Testing All existing tests pass: - test_c3_integration.py: Updated for new architecture - 700+ tests passing - Multi-source synthesis validated with httpx example ## 🔧 Technical Details **Modified Core Files**: 1. src/skill_seekers/cli/github_scraper.py (+263 lines) - _generate_skill_md(): Rich content with C3.x integration - _format_pattern_summary(): Design pattern summaries - _format_code_examples(): Test example formatting - _format_api_reference(): API reference from codebase - _format_architecture(): Architectural pattern analysis 2. src/skill_seekers/cli/pdf_scraper.py (+205 lines) - _generate_skill_md(): Enhanced with rich content - _format_key_concepts(): Extract concepts from headings - _format_patterns_from_content(): Pattern extraction - Code examples: Top 15, grouped by language, better quality scoring 3. src/skill_seekers/cli/unified_scraper.py (+238 lines) - __init__(): Cache directory structure - _setup_logging(): File logging with timestamps - _clone_github_repo(): Repository caching system - _scrape_documentation(): Move to cache, better logging - Better subprocess handling and error reporting 4. src/skill_seekers/cli/enhance_skill.py (+125 lines) - Multi-source synthesis awareness - Enhanced prompt generation - Better error handling **Minor Updates**: - src/skill_seekers/cli/codebase_scraper.py (+3 lines): Minor improvements - src/skill_seekers/cli/test_example_extractor.py: Quality scoring adjustments - tests/test_c3_integration.py: Test updates for new architecture ## 🚀 Migration Guide **For users with existing configs**: No action required - all existing configs continue to work. **For users wanting official presets**: ```bash # Fetch from official config repo skill-seekers fetch-config --name react --target unified # Or use existing local configs skill-seekers unified --config configs/httpx_comprehensive.json ``` **Cache directory**: New `.skillseeker-cache/` directory will be created automatically. Safe to delete - will be regenerated on next run. ## 📈 Next Steps This architecture enables: - ✅ Source parity: All sources generate rich standalone skills - ✅ Smart synthesis: Each combination has optimal formula - ✅ Better debugging: Cached files and logs preserved - ✅ Faster iteration: Repository caching, clean output - 🔄 Future: Multi-platform enhancement (Gemini, GPT-4) - planned - 🔄 Future: Conflict detection between sources - planned - 🔄 Future: Source prioritization rules - planned ## 🎓 Example: httpx Skill Quality **Before**: 186 lines, basic synthesis, missing data **After**: 640 lines with AI enhancement, A- (9/10) quality **What changed**: - All C3.x analysis data integrated (patterns, tests, API, architecture) - GitHub metadata included (stars, topics, languages) - PDF chapter structure visible - Professional formatting with emojis and clear sections - Real-world code examples from test suite - Design patterns explained with confidence scores - Known issues with impact assessment 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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Nick Miethe
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9042e1680c | Enabling full support of the Claude Code documentation site, with support for all relevant pages and Anthropic's unconventional llms.txt | ||
Schuyler Erle
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ab585584d0 | Add config for Claude Code documentation |