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feat: Multi-Source Synthesis Architecture - Rich Standalone Skills + Smart Combination

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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>
This commit is contained in:
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2026-01-11 23:01:07 +03:00
parent cf9539878e
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252
CLAUDE.md
View File

@@ -6,7 +6,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
**Skill Seekers** is a Python tool that converts documentation websites, GitHub repositories, and PDFs into LLM skills. It supports 4 platforms: Claude AI, Google Gemini, OpenAI ChatGPT, and Generic Markdown.
**Current Version:** v2.5.1
**Current Version:** v2.5.2
**Python Version:** 3.10+ required
**Status:** Production-ready, published on PyPI
@@ -56,27 +56,38 @@ src/skill_seekers/cli/adaptors/
```
src/skill_seekers/
├── cli/ # CLI tools
│ ├── main.py # Git-style CLI dispatcher
│ ├── doc_scraper.py # Main scraper (~790 lines)
│ ├── github_scraper.py # GitHub repo analysis
│ ├── pdf_scraper.py # PDF extraction
│ ├── unified_scraper.py # Multi-source scraping
│ ├── enhance_skill_local.py # AI enhancement (local)
│ ├── package_skill.py # Skill packager
│ ├── upload_skill.py # Upload to platforms
│ ├── install_skill.py # Complete workflow automation
│ ├── install_agent.py # Install to AI agent directories
│ └── adaptors/ # Platform adaptor architecture
├── cli/ # CLI tools
│ ├── main.py # Git-style CLI dispatcher
│ ├── doc_scraper.py # Main scraper (~790 lines)
│ ├── github_scraper.py # GitHub repo analysis
│ ├── pdf_scraper.py # PDF extraction
│ ├── unified_scraper.py # Multi-source scraping
│ ├── codebase_scraper.py # Local codebase analysis (C2.x)
│ ├── unified_codebase_analyzer.py # Three-stream GitHub+local analyzer
│ ├── enhance_skill_local.py # AI enhancement (LOCAL mode)
│ ├── enhance_status.py # Enhancement status monitoring
│ ├── package_skill.py # Skill packager
│ ├── upload_skill.py # Upload to platforms
│ ├── install_skill.py # Complete workflow automation
│ ├── install_agent.py # Install to AI agent directories
│ ├── pattern_recognizer.py # C3.1 Design pattern detection
│ ├── test_example_extractor.py # C3.2 Test example extraction
│ ├── how_to_guide_builder.py # C3.3 How-to guide generation
│ ├── config_extractor.py # C3.4 Configuration extraction
│ ├── generate_router.py # C3.5 Router skill generation
│ ├── code_analyzer.py # Multi-language code analysis
│ ├── api_reference_builder.py # API documentation builder
│ ├── dependency_analyzer.py # Dependency graph analysis
│ └── adaptors/ # Platform adaptor architecture
│ ├── __init__.py
│ ├── base_adaptor.py
│ ├── claude_adaptor.py
│ ├── gemini_adaptor.py
│ ├── openai_adaptor.py
│ └── markdown_adaptor.py
└── mcp/ # MCP server integration
├── server.py # FastMCP server (stdio + HTTP)
└── tools/ # 18 MCP tool implementations
└── mcp/ # MCP server integration
├── server.py # FastMCP server (stdio + HTTP)
└── tools/ # 18 MCP tool implementations
```
## 🛠️ Development Commands
@@ -147,6 +158,18 @@ python -m twine upload dist/*
# Test scraping (dry run)
skill-seekers scrape --config configs/react.json --dry-run
# Test codebase analysis (C2.x features)
skill-seekers codebase --directory . --output output/codebase/
# Test pattern detection (C3.1)
skill-seekers patterns --file src/skill_seekers/cli/code_analyzer.py
# Test how-to guide generation (C3.3)
skill-seekers how-to-guides output/test_examples.json --output output/guides/
# Test enhancement status monitoring
skill-seekers enhance-status output/react/ --watch
# Test multi-platform packaging
skill-seekers package output/react/ --target gemini --dry-run
@@ -170,7 +193,13 @@ The unified CLI modifies `sys.argv` and calls existing `main()` functions to mai
# Transforms to: doc_scraper.main() with modified sys.argv
```
**Subcommands:** scrape, github, pdf, unified, enhance, package, upload, estimate, install
**Subcommands:** scrape, github, pdf, unified, codebase, enhance, enhance-status, package, upload, estimate, install, install-agent, patterns, how-to-guides
**New in v2.5.2:**
- `codebase` - Local codebase analysis without GitHub API (C2.x features)
- `enhance-status` - Monitor background/daemon enhancement processes
- `patterns` - Detect design patterns in code (C3.1)
- `how-to-guides` - Generate educational guides from tests (C3.3)
### Platform Adaptor Usage
@@ -193,6 +222,55 @@ adaptor.upload(
adaptor.enhance(skill_dir='output/react/', mode='api')
```
### C3.x Codebase Analysis Features
The project has comprehensive codebase analysis capabilities (C3.1-C3.7):
**C3.1 Design Pattern Detection** (`pattern_recognizer.py`):
- Detects 10 common patterns: Singleton, Factory, Observer, Strategy, Decorator, Builder, Adapter, Command, Template Method, Chain of Responsibility
- Supports 9 languages: Python, JavaScript, TypeScript, C++, C, C#, Go, Rust, Java
- Three detection levels: surface (fast), deep (balanced), full (thorough)
- 87% precision, 80% recall on real-world projects
**C3.2 Test Example Extraction** (`test_example_extractor.py`):
- Extracts real usage examples from test files
- Categories: instantiation, method_call, config, setup, workflow
- AST-based for Python, regex-based for 8 other languages
- Quality filtering with confidence scoring
**C3.3 How-To Guide Generation** (`how_to_guide_builder.py`):
- Transforms test workflows into educational guides
- 5 AI enhancements: step descriptions, troubleshooting, prerequisites, next steps, use cases
- Dual-mode AI: API (fast) or LOCAL (free with Claude Code Max)
- 4 grouping strategies: AI tutorial group, file path, test name, complexity
**C3.4 Configuration Pattern Extraction** (`config_extractor.py`):
- Extracts configuration patterns from codebases
- Identifies config files, env vars, CLI arguments
- AI enhancement for better organization
**C3.5 Router Skill Generation** (`generate_router.py`):
- Creates meta-skills that route to specialized skills
- Quality improvements: 6.5/10 → 8.5/10 (+31%)
- Integrates GitHub metadata, issues, labels
**Codebase Scraper Integration** (`codebase_scraper.py`):
```bash
# All C3.x features enabled by default, use --skip-* to disable
skill-seekers codebase --directory /path/to/repo
# Disable specific features
skill-seekers codebase --directory . --skip-patterns --skip-how-to-guides
# Legacy flags (deprecated but still work)
skill-seekers codebase --directory . --build-api-reference --build-dependency-graph
```
**Key Architecture Decision (v2.5.2):**
- Changed from opt-in (`--build-*`) to opt-out (`--skip-*`) flags
- All analysis features now ON by default for maximum value
- Backward compatibility warnings for deprecated flags
### Smart Categorization Algorithm
Located in `doc_scraper.py:smart_categorize()`:
@@ -284,17 +362,24 @@ export BITBUCKET_TOKEN=...
```toml
[project.scripts]
# Main unified CLI
skill-seekers = "skill_seekers.cli.main:main"
# Individual tool entry points
skill-seekers-scrape = "skill_seekers.cli.doc_scraper:main"
skill-seekers-github = "skill_seekers.cli.github_scraper:main"
skill-seekers-pdf = "skill_seekers.cli.pdf_scraper:main"
skill-seekers-unified = "skill_seekers.cli.unified_scraper:main"
skill-seekers-codebase = "skill_seekers.cli.codebase_scraper:main" # NEW: C2.x
skill-seekers-enhance = "skill_seekers.cli.enhance_skill_local:main"
skill-seekers-enhance-status = "skill_seekers.cli.enhance_status:main" # NEW: Status monitoring
skill-seekers-package = "skill_seekers.cli.package_skill:main"
skill-seekers-upload = "skill_seekers.cli.upload_skill:main"
skill-seekers-estimate = "skill_seekers.cli.estimate_pages:main"
skill-seekers-install = "skill_seekers.cli.install_skill:main"
skill-seekers-install-agent = "skill_seekers.cli.install_agent:main"
skill-seekers-patterns = "skill_seekers.cli.pattern_recognizer:main" # NEW: C3.1
skill-seekers-how-to-guides = "skill_seekers.cli.how_to_guide_builder:main" # NEW: C3.3
```
### Optional Dependencies
@@ -304,9 +389,18 @@ skill-seekers-install-agent = "skill_seekers.cli.install_agent:main"
gemini = ["google-generativeai>=0.8.0"]
openai = ["openai>=1.0.0"]
all-llms = ["google-generativeai>=0.8.0", "openai>=1.0.0"]
dev = ["pytest>=8.4.2", "pytest-asyncio>=0.24.0", "pytest-cov>=7.0.0"]
[dependency-groups] # PEP 735 (replaces tool.uv.dev-dependencies)
dev = [
"pytest>=8.4.2",
"pytest-asyncio>=0.24.0",
"pytest-cov>=7.0.0",
"coverage>=7.11.0",
]
```
**Note:** Project uses PEP 735 `dependency-groups` instead of deprecated `tool.uv.dev-dependencies`.
## 🚨 Critical Development Notes
### Must Run Before Tests
@@ -336,12 +430,55 @@ pip install skill-seekers[openai] # OpenAI support
pip install skill-seekers[all-llms] # All platforms
```
### AI Enhancement Modes
AI enhancement transforms basic skills (2-3/10) into production-ready skills (8-9/10). Two modes available:
**API Mode** (default if ANTHROPIC_API_KEY is set):
- Direct Claude API calls (fast, efficient)
- Cost: ~$0.15-$0.30 per skill
- Perfect for CI/CD automation
- Requires: `export ANTHROPIC_API_KEY=sk-ant-...`
**LOCAL Mode** (fallback if no API key):
- Uses Claude Code CLI (your existing Max plan)
- Free! No API charges
- 4 execution modes:
- Headless (default): Foreground, waits for completion
- Background (`--background`): Returns immediately
- Daemon (`--daemon`): Fully detached with nohup
- Terminal (`--interactive-enhancement`): Opens new terminal (macOS)
- Status monitoring: `skill-seekers enhance-status output/react/ --watch`
- Timeout configuration: `--timeout 300` (seconds)
**Force Mode** (default ON since v2.5.2):
- Skip all confirmations automatically
- Perfect for CI/CD, batch processing
- Use `--no-force` to enable prompts if needed
```bash
# API mode (if ANTHROPIC_API_KEY is set)
skill-seekers enhance output/react/
# LOCAL mode (no API key needed)
skill-seekers enhance output/react/ --mode LOCAL
# Background with status monitoring
skill-seekers enhance output/react/ --background
skill-seekers enhance-status output/react/ --watch
# Force mode OFF (enable prompts)
skill-seekers enhance output/react/ --no-force
```
See `docs/ENHANCEMENT_MODES.md` for detailed documentation.
### Git Workflow
- Main branch: `main`
- Current branch: `development`
- Always create feature branches from `development`
- Clean status currently (no uncommitted changes)
- Feature branch naming: `feature/{task-id}-{description}` or `feature/{category}`
## 🔌 MCP Integration
@@ -430,6 +567,26 @@ pytest tests/test_file.py --cov=src/skill_seekers --cov-report=term-missing
- `scrape_all()` - Main scraping loop
- `main()` - Entry point
**Codebase Analysis** (`src/skill_seekers/cli/`):
- `codebase_scraper.py` - Main CLI for local codebase analysis
- `code_analyzer.py` - Multi-language AST parsing (9 languages)
- `api_reference_builder.py` - API documentation generation
- `dependency_analyzer.py` - NetworkX-based dependency graphs
- `pattern_recognizer.py` - C3.1 design pattern detection
- `test_example_extractor.py` - C3.2 test example extraction
- `how_to_guide_builder.py` - C3.3 guide generation
- `config_extractor.py` - C3.4 configuration extraction
- `generate_router.py` - C3.5 router skill generation
- `unified_codebase_analyzer.py` - Three-stream GitHub+local analyzer
**AI Enhancement** (`src/skill_seekers/cli/`):
- `enhance_skill_local.py` - LOCAL mode enhancement (4 execution modes)
- `enhance_skill.py` - API mode enhancement
- `enhance_status.py` - Status monitoring for background processes
- `ai_enhancer.py` - Shared AI enhancement logic
- `guide_enhancer.py` - C3.3 guide AI enhancement
- `config_enhancer.py` - C3.4 config AI enhancement
**Platform Adaptors** (`src/skill_seekers/cli/adaptors/`):
- `__init__.py` - Factory function
- `base_adaptor.py` - Abstract base class
@@ -440,7 +597,7 @@ pytest tests/test_file.py --cov=src/skill_seekers --cov-report=term-missing
**MCP Server** (`src/skill_seekers/mcp/`):
- `server.py` - FastMCP-based server
- `tools/` - MCP tool implementations
- `tools/` - 18 MCP tool implementations
## 🎯 Project-Specific Best Practices
@@ -464,6 +621,10 @@ pytest tests/test_file.py --cov=src/skill_seekers --cov-report=term-missing
- [FLEXIBLE_ROADMAP.md](FLEXIBLE_ROADMAP.md) - 134 tasks across 22 feature groups
- [docs/UNIFIED_SCRAPING.md](docs/UNIFIED_SCRAPING.md) - Multi-source scraping
- [docs/MCP_SETUP.md](docs/MCP_SETUP.md) - MCP server setup
- [docs/ENHANCEMENT_MODES.md](docs/ENHANCEMENT_MODES.md) - AI enhancement modes
- [docs/PATTERN_DETECTION.md](docs/PATTERN_DETECTION.md) - C3.1 pattern detection
- [docs/THREE_STREAM_STATUS_REPORT.md](docs/THREE_STREAM_STATUS_REPORT.md) - Three-stream architecture
- [docs/MULTI_LLM_SUPPORT.md](docs/MULTI_LLM_SUPPORT.md) - Multi-platform support
## 🎓 Understanding the Codebase
@@ -493,6 +654,39 @@ User experience benefits:
- Cleaner than multiple separate commands
- Easier to document and teach
### Three-Stream GitHub Architecture
The `unified_codebase_analyzer.py` splits GitHub repositories into three independent streams:
**Stream 1: Code Analysis** (C3.x features)
- Deep AST parsing (9 languages)
- Design pattern detection (C3.1)
- Test example extraction (C3.2)
- How-to guide generation (C3.3)
- Configuration extraction (C3.4)
- Architectural overview (C3.5)
- API reference + dependency graphs
**Stream 2: Documentation**
- README, CONTRIBUTING, LICENSE
- docs/ directory markdown files
- Wiki pages (if available)
- CHANGELOG and version history
**Stream 3: Community Insights**
- GitHub metadata (stars, forks, watchers)
- Issue analysis (top problems and solutions)
- PR trends and contributor stats
- Release history
- Label-based topic detection
**Key Benefits:**
- Unified interface for GitHub URLs and local paths
- Analysis depth control: 'basic' (1-2 min) or 'c3x' (20-60 min)
- Enhanced router generation with GitHub context
- Smart keyword extraction weighted by GitHub labels (2x weight)
- 81 E2E tests passing (0.44 seconds)
## 🔍 Performance Characteristics
| Operation | Time | Notes |
@@ -507,7 +701,14 @@ User experience benefits:
## 🎉 Recent Achievements
**v2.5.1 (Latest):**
**v2.5.2 (Latest):**
- UX Improvement: Analysis features now default ON with --skip-* flags (BREAKING)
- Changed from opt-in (--build-*) to opt-out (--skip-*) for better discoverability
- Router quality improvements: 6.5/10 → 8.5/10 (+31%)
- C3.5 Architectural Overview & Skill Integrator
- All 107 codebase analysis tests passing
**v2.5.1:**
- Fixed critical PyPI packaging bug (missing adaptors module)
- 100% of multi-platform features working
@@ -518,6 +719,15 @@ User experience benefits:
- Complete feature parity across platforms
- 700+ tests passing
**C3.x Series (Code Analysis Features):**
- C3.1: Design pattern detection (10 patterns, 9 languages, 87% precision)
- C3.2: Test example extraction (AST-based, 19 tests)
- C3.3: How-to guide generation with AI enhancement (5 improvements)
- C3.4: Configuration pattern extraction
- C3.5: Router skill generation
- C3.6: AI enhancement (dual-mode: API + LOCAL)
- C3.7: Architectural pattern detection
**v2.0.0:**
- Unified multi-source scraping
- Conflict detection between docs and code