a99e22c639
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>
115 lines
2.4 KiB
JSON
115 lines
2.4 KiB
JSON
{
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"name": "httpx",
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"description": "Use this skill when working with HTTPX, a fully featured HTTP client for Python 3 with sync and async APIs. HTTPX provides a familiar requests-like interface with support for HTTP/2, connection pooling, and comprehensive middleware capabilities.",
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"version": "1.0.0",
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"base_url": "https://www.python-httpx.org/",
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"sources": [
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{
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"type": "documentation",
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"base_url": "https://www.python-httpx.org/",
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"selectors": {
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"main_content": "article.md-content__inner",
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"title": "h1",
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"code_blocks": "pre code"
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}
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},
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{
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"type": "github",
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"repo": "encode/httpx",
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"code_analysis_depth": "deep",
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"enable_codebase_analysis": true,
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"fetch_issues": true,
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"fetch_changelog": true,
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"fetch_releases": true,
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"max_issues": 50
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}
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],
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"selectors": {
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"main_content": "article.md-content__inner",
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"title": "h1",
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"code_blocks": "pre code",
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"navigation": "nav.md-tabs",
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"sidebar": "nav.md-nav--primary"
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},
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"url_patterns": {
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"include": [
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"/quickstart/",
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"/advanced/",
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"/api/",
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"/async/",
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"/http2/",
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"/compatibility/"
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],
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"exclude": [
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"/changelog/",
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"/contributing/",
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"/exceptions/"
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]
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},
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"categories": {
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"getting_started": [
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"quickstart",
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"install",
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"introduction",
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"overview"
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],
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"core_concepts": [
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"client",
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"request",
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"response",
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"timeout",
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"pool"
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],
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"async": [
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"async",
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"asyncio",
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"trio",
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"concurrent"
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],
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"http2": [
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"http2",
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"http/2",
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"multiplexing"
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],
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"advanced": [
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"authentication",
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"middleware",
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"transport",
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"proxy",
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"ssl",
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"streaming"
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],
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"api_reference": [
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"api",
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"reference",
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"client",
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"request",
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"response"
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],
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"compatibility": [
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"requests",
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"migration",
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"compatibility"
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]
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},
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"rate_limit": 0.5,
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"max_pages": 100,
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"metadata": {
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"author": "Encode",
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"language": "Python",
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"framework_type": "HTTP Client",
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"use_cases": [
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"Making HTTP requests",
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"REST API clients",
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"Async HTTP operations",
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"HTTP/2 support",
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"Connection pooling"
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],
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"related_skills": [
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"requests",
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"aiohttp",
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"urllib3"
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]
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}
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}
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