diff --git a/ASYNC_SUPPORT.md b/ASYNC_SUPPORT.md deleted file mode 100644 index ff0621e..0000000 --- a/ASYNC_SUPPORT.md +++ /dev/null @@ -1,292 +0,0 @@ -# Async Support Documentation - -## ๐Ÿš€ Async Mode for High-Performance Scraping - -As of this release, Skill Seeker supports **asynchronous scraping** for dramatically improved performance when scraping documentation websites. - ---- - -## โšก Performance Benefits - -| Metric | Sync (Threads) | Async | Improvement | -|--------|----------------|-------|-------------| -| **Pages/second** | ~15-20 | ~40-60 | **2-3x faster** | -| **Memory per worker** | ~10-15 MB | ~1-2 MB | **80-90% less** | -| **Max concurrent** | ~50-100 | ~500-1000 | **10x more** | -| **CPU efficiency** | GIL-limited | Full cores | **Much better** | - ---- - -## ๐Ÿ“‹ How to Enable Async Mode - -### Option 1: Command Line Flag - -```bash -# Enable async mode with 8 workers for best performance -python3 cli/doc_scraper.py --config configs/react.json --async --workers 8 - -# Quick mode with async -python3 cli/doc_scraper.py --name react --url https://react.dev/ --async --workers 8 - -# Dry run with async to test -python3 cli/doc_scraper.py --config configs/godot.json --async --workers 4 --dry-run -``` - -### Option 2: Configuration File - -Add `"async_mode": true` to your config JSON: - -```json -{ - "name": "react", - "base_url": "https://react.dev/", - "async_mode": true, - "workers": 8, - "rate_limit": 0.5, - "max_pages": 500 -} -``` - -Then run normally: - -```bash -python3 cli/doc_scraper.py --config configs/react-async.json -``` - ---- - -## ๐ŸŽฏ Recommended Settings - -### Small Documentation (~100-500 pages) -```bash ---async --workers 4 -``` - -### Medium Documentation (~500-2000 pages) -```bash ---async --workers 8 -``` - -### Large Documentation (2000+ pages) -```bash ---async --workers 8 --no-rate-limit -``` - -**Note:** More workers isn't always better. Test with 4, then 8, to find optimal performance for your use case. - ---- - -## ๐Ÿ”ง Technical Implementation - -### What Changed - -**New Methods:** -- `async def scrape_page_async()` - Async version of page scraping -- `async def scrape_all_async()` - Async version of scraping loop - -**Key Technologies:** -- **httpx.AsyncClient** - Async HTTP client with connection pooling -- **asyncio.Semaphore** - Concurrency control (replaces threading.Lock) -- **asyncio.gather()** - Parallel task execution -- **asyncio.sleep()** - Non-blocking rate limiting - -**Backwards Compatibility:** -- Async mode is **opt-in** (default: sync mode) -- All existing configs work unchanged -- Zero breaking changes - ---- - -## ๐Ÿ“Š Benchmarks - -### Test Case: React Documentation (7,102 chars, 500 pages) - -**Sync Mode (Threads):** -```bash -python3 cli/doc_scraper.py --config configs/react.json --workers 8 -# Time: ~45 minutes -# Pages/sec: ~18 -# Memory: ~120 MB -``` - -**Async Mode:** -```bash -python3 cli/doc_scraper.py --config configs/react.json --async --workers 8 -# Time: ~15 minutes (3x faster!) -# Pages/sec: ~55 -# Memory: ~40 MB (66% less) -``` - ---- - -## โš ๏ธ Important Notes - -### When to Use Async - -โœ… **Use async when:** -- Scraping 500+ pages -- Using 4+ workers -- Network latency is high -- Memory is constrained - -โŒ **Don't use async when:** -- Scraping < 100 pages (overhead not worth it) -- workers = 1 (no parallelism benefit) -- Testing/debugging (sync is simpler) - -### Rate Limiting - -Async mode respects rate limits just like sync mode: -```bash -# 0.5 second delay between requests (default) ---async --workers 8 --rate-limit 0.5 - -# No rate limiting (use carefully!) ---async --workers 8 --no-rate-limit -``` - -### Checkpoints - -Async mode supports checkpoints for resuming interrupted scrapes: -```json -{ - "async_mode": true, - "checkpoint": { - "enabled": true, - "interval": 1000 - } -} -``` - ---- - -## ๐Ÿงช Testing - -Async mode includes comprehensive tests: - -```bash -# Run async-specific tests -python -m pytest tests/test_async_scraping.py -v - -# Run all tests -python cli/run_tests.py -``` - -**Test Coverage:** -- 11 async-specific tests -- Configuration tests -- Routing tests (sync vs async) -- Error handling -- llms.txt integration - ---- - -## ๐Ÿ› Troubleshooting - -### "Too many open files" error - -Reduce worker count: -```bash ---async --workers 4 # Instead of 8 -``` - -### Async mode slower than sync - -This can happen with: -- Very low worker count (use >= 4) -- Very fast local network (async overhead not worth it) -- Small documentation (< 100 pages) - -**Solution:** Use sync mode for small docs, async for large ones. - -### Memory usage still high - -Async reduces memory per worker, but: -- BeautifulSoup parsing is still memory-intensive -- More workers = more memory - -**Solution:** Use 4-6 workers instead of 8-10. - ---- - -## ๐Ÿ“š Examples - -### Example 1: Fast scraping with async - -```bash -# Godot documentation (~1,600 pages) -python3 cli/doc_scraper.py \\ - --config configs/godot.json \\ - --async \\ - --workers 8 \\ - --rate-limit 0.3 - -# Result: ~12 minutes (vs 40 minutes sync) -``` - -### Example 2: Respectful scraping with async - -```bash -# Django documentation with polite rate limiting -python3 cli/doc_scraper.py \\ - --config configs/django.json \\ - --async \\ - --workers 4 \\ - --rate-limit 1.0 - -# Still faster than sync, but respectful to server -``` - -### Example 3: Testing async mode - -```bash -# Dry run to test async without actual scraping -python3 cli/doc_scraper.py \\ - --config configs/react.json \\ - --async \\ - --workers 8 \\ - --dry-run - -# Preview URLs, test configuration -``` - ---- - -## ๐Ÿ”ฎ Future Enhancements - -Planned improvements for async mode: - -- [ ] Adaptive worker scaling based on server response time -- [ ] Connection pooling optimization -- [ ] Progress bars for async scraping -- [ ] Real-time performance metrics -- [ ] Automatic retry with backoff for failed requests - ---- - -## ๐Ÿ’ก Best Practices - -1. **Start with 4 workers** - Test, then increase if needed -2. **Use --dry-run first** - Verify configuration before scraping -3. **Respect rate limits** - Don't disable unless necessary -4. **Monitor memory** - Reduce workers if memory usage is high -5. **Use checkpoints** - Enable for large scrapes (>1000 pages) - ---- - -## ๐Ÿ“– Additional Resources - -- **Main README**: [README.md](README.md) -- **Technical Docs**: [docs/CLAUDE.md](docs/CLAUDE.md) -- **Test Suite**: [tests/test_async_scraping.py](tests/test_async_scraping.py) -- **Configuration Guide**: See `configs/` directory for examples - ---- - -## โœ… Version Information - -- **Feature**: Async Support -- **Version**: Added in current release -- **Status**: Production-ready -- **Test Coverage**: 11 async-specific tests, all passing -- **Backwards Compatible**: Yes (opt-in feature) diff --git a/EVOLUTION_ANALYSIS.md b/EVOLUTION_ANALYSIS.md deleted file mode 100644 index fd34211..0000000 --- a/EVOLUTION_ANALYSIS.md +++ /dev/null @@ -1,710 +0,0 @@ -# Skill Seekers Evolution Analysis -**Date**: 2025-12-21 -**Focus**: A1.3 Completion + A1.9 Multi-Source Architecture - ---- - -## ๐Ÿ” Part 1: A1.3 Implementation Gap Analysis - -### What We Built vs What Was Required - -#### โœ… **Completed Requirements:** -1. MCP tool `submit_config` - โœ… DONE -2. Creates GitHub issue in skill-seekers-configs repo - โœ… DONE -3. Uses issue template format - โœ… DONE -4. Auto-labels (config-submission, needs-review) - โœ… DONE -5. Returns GitHub issue URL - โœ… DONE -6. Accepts config_path or config_json - โœ… DONE -7. Validates required fields - โœ… DONE (basic) - -#### โŒ **Missing/Incomplete:** -1. **Robust Validation** - Issue says "same validation as `validate_config` tool" - - **Current**: Only checks `name`, `description`, `base_url` exist - - **Should**: Use `config_validator.py` which validates: - - URL formats (http/https) - - Selector structure - - Pattern arrays - - Unified vs legacy format - - Source types (documentation, github, pdf) - - Merge modes - - All nested fields - -2. **URL Validation** - Not checking if URLs are actually valid - - **Current**: Just checks if `base_url` exists - - **Should**: Validate URL format, check reachability (optional) - -3. **Schema Validation** - Not using the full validator - - **Current**: Manual field checks - - **Should**: `ConfigValidator(config_data).validate()` - -### ๐Ÿ”ง **What Needs to be Fixed:** - -```python -# CURRENT (submit_config_tool): -required_fields = ["name", "description", "base_url"] -missing_fields = [field for field in required_fields if field not in config_data] -# Basic but incomplete - -# SHOULD BE: -from config_validator import ConfigValidator -validator = ConfigValidator(config_data) -try: - validator.validate() # Comprehensive validation -except ValueError as e: - return error_message(str(e)) -``` - ---- - -## ๐Ÿš€ Part 2: A1.9 Multi-Source Architecture - The Big Picture - -### Current State: Single Source System - -``` -User โ†’ fetch_config โ†’ API โ†’ skill-seekers-configs (GitHub) โ†’ Download -``` - -**Limitations:** -- Only ONE source of configs (official public repo) -- Can't use private configs -- Can't share configs within teams -- Can't create custom collections -- Centralized dependency - -### Future State: Multi-Source Federation - -``` -User โ†’ fetch_config โ†’ Source Manager โ†’ [ - Priority 1: Official (public) - Priority 2: Team Private Repo - Priority 3: Personal Configs - Priority 4: Custom Collections -] โ†’ Download -``` - -**Capabilities:** -- Multiple config sources -- Public + Private repos -- Team collaboration -- Personal configs -- Custom curated collections -- Decentralized, federated system - ---- - -## ๐ŸŽฏ Part 3: Evolution Vision - The Three Horizons - -### **Horizon 1: Official Configs (CURRENT - A1.1 to A1.3)** -โœ… **Status**: Complete -**What**: Single public repository (skill-seekers-configs) -**Users**: Everyone, public community -**Paradigm**: Centralized, curated, verified configs - -### **Horizon 2: Multi-Source Federation (A1.9)** -๐Ÿ”จ **Status**: Proposed -**What**: Support multiple git repositories as config sources -**Users**: Teams (3-5 people), organizations, individuals -**Paradigm**: Decentralized, federated, user-controlled - -**Key Features:** -- Direct git URL support -- Named sources (register once, use many times) -- Authentication (GitHub/GitLab/Bitbucket tokens) -- Caching (local clones) -- Priority-based resolution -- Public OR private repos - -**Implementation:** -```python -# Option 1: Direct URL (one-off) -fetch_config( - git_url='https://github.com/myteam/configs.git', - config_name='internal-api', - token='$GITHUB_TOKEN' -) - -# Option 2: Named source (reusable) -add_config_source( - name='team', - git_url='https://github.com/myteam/configs.git', - token='$GITHUB_TOKEN' -) -fetch_config(source='team', config_name='internal-api') - -# Option 3: Config file -# ~/.skill-seekers/sources.json -{ - "sources": [ - {"name": "official", "git_url": "...", "priority": 1}, - {"name": "team", "git_url": "...", "priority": 2, "token": "$TOKEN"} - ] -} -``` - -### **Horizon 3: Skill Marketplace (Future - A1.13+)** -๐Ÿ’ญ **Status**: Vision -**What**: Full ecosystem of shareable configs AND skills -**Users**: Entire community, marketplace dynamics -**Paradigm**: Platform, network effects, curation - -**Key Features:** -- Browse all public sources -- Star/rate configs -- Download counts, popularity -- Verified configs (badge system) -- Share built skills (not just configs) -- Continuous updates (watch repos) -- Notifications - ---- - -## ๐Ÿ—๏ธ Part 4: Technical Architecture for A1.9 - -### **Layer 1: Source Management** - -```python -# ~/.skill-seekers/sources.json -{ - "version": "1.0", - "default_source": "official", - "sources": [ - { - "name": "official", - "type": "git", - "git_url": "https://github.com/yusufkaraaslan/skill-seekers-configs.git", - "branch": "main", - "enabled": true, - "priority": 1, - "cache_ttl": 86400 # 24 hours - }, - { - "name": "team", - "type": "git", - "git_url": "https://github.com/myteam/private-configs.git", - "branch": "main", - "token_env": "TEAM_GITHUB_TOKEN", - "enabled": true, - "priority": 2, - "cache_ttl": 3600 # 1 hour - } - ] -} -``` - -**Source Manager Class:** -```python -class SourceManager: - def __init__(self, config_file="~/.skill-seekers/sources.json"): - self.config_file = Path(config_file).expanduser() - self.sources = self.load_sources() - - def add_source(self, name, git_url, token=None, priority=None): - """Register a new config source""" - - def remove_source(self, name): - """Remove a registered source""" - - def list_sources(self): - """List all registered sources""" - - def get_source(self, name): - """Get source by name""" - - def search_config(self, config_name): - """Search for config across all sources (priority order)""" -``` - -### **Layer 2: Git Operations** - -```python -class GitConfigRepo: - def __init__(self, source_config): - self.url = source_config['git_url'] - self.branch = source_config.get('branch', 'main') - self.cache_dir = Path("~/.skill-seekers/cache") / source_config['name'] - self.token = self._get_token(source_config) - - def clone_or_update(self): - """Clone if not exists, else pull""" - if not self.cache_dir.exists(): - self._clone() - else: - self._pull() - - def _clone(self): - """Shallow clone for efficiency""" - # git clone --depth 1 --branch {branch} {url} {cache_dir} - - def _pull(self): - """Update existing clone""" - # git -C {cache_dir} pull - - def list_configs(self): - """Scan cache_dir for .json files""" - - def get_config(self, config_name): - """Read specific config file""" -``` - -**Library Choice:** -- **GitPython**: High-level, Pythonic API โœ… RECOMMENDED -- **pygit2**: Low-level, faster, complex -- **subprocess**: Simple, works everywhere - -### **Layer 3: Config Discovery & Resolution** - -```python -class ConfigDiscovery: - def __init__(self, source_manager): - self.source_manager = source_manager - - def find_config(self, config_name, source=None): - """ - Find config across sources - - Args: - config_name: Name of config to find - source: Optional specific source name - - Returns: - (source_name, config_path, config_data) - """ - if source: - # Search in specific source only - return self._search_source(source, config_name) - else: - # Search all sources in priority order - for src in self.source_manager.get_sources_by_priority(): - result = self._search_source(src['name'], config_name) - if result: - return result - return None - - def list_all_configs(self, source=None): - """List configs from one or all sources""" - - def resolve_conflicts(self, config_name): - """Find all sources that have this config""" -``` - -### **Layer 4: Authentication & Security** - -```python -class TokenManager: - def __init__(self): - self.use_keyring = self._check_keyring() - - def _check_keyring(self): - """Check if keyring library available""" - try: - import keyring - return True - except ImportError: - return False - - def store_token(self, source_name, token): - """Store token securely""" - if self.use_keyring: - import keyring - keyring.set_password("skill-seekers", source_name, token) - else: - # Fall back to env var prompt - print(f"Set environment variable: {source_name.upper()}_TOKEN") - - def get_token(self, source_name, env_var=None): - """Retrieve token""" - # Try keyring first - if self.use_keyring: - import keyring - token = keyring.get_password("skill-seekers", source_name) - if token: - return token - - # Try environment variable - if env_var: - return os.environ.get(env_var) - - # Try default patterns - return os.environ.get(f"{source_name.upper()}_TOKEN") -``` - ---- - -## ๐Ÿ“Š Part 5: Use Case Matrix - -| Use Case | Users | Visibility | Auth | Priority | -|----------|-------|------------|------|----------| -| **Official Configs** | Everyone | Public | None | High | -| **Team Configs** | 3-5 people | Private | GitHub Token | Medium | -| **Personal Configs** | Individual | Private | GitHub Token | Low | -| **Public Collections** | Community | Public | None | Medium | -| **Enterprise Configs** | Organization | Private | GitLab Token | High | - -### **Scenario 1: Startup Team (5 developers)** - -**Setup:** -```bash -# Team lead creates private repo -gh repo create startup/skill-configs --private -cd startup-skill-configs -mkdir -p official/internal-apis -# Add configs for internal services -git add . && git commit -m "Add internal API configs" -git push -``` - -**Team Usage:** -```python -# Each developer adds source (one-time) -add_config_source( - name='startup', - git_url='https://github.com/startup/skill-configs.git', - token='$GITHUB_TOKEN' -) - -# Daily usage -fetch_config(source='startup', config_name='backend-api') -fetch_config(source='startup', config_name='frontend-components') -fetch_config(source='startup', config_name='mobile-api') - -# Also use official configs -fetch_config(config_name='react') # From official -``` - -### **Scenario 2: Enterprise (500+ developers)** - -**Setup:** -```bash -# Multiple teams, multiple repos -# Platform team -gitlab.company.com/platform/skill-configs - -# Mobile team -gitlab.company.com/mobile/skill-configs - -# Data team -gitlab.company.com/data/skill-configs -``` - -**Usage:** -```python -# Central IT pre-configures sources -add_config_source('official', '...', priority=1) -add_config_source('platform', 'gitlab.company.com/platform/...', priority=2) -add_config_source('mobile', 'gitlab.company.com/mobile/...', priority=3) -add_config_source('data', 'gitlab.company.com/data/...', priority=4) - -# Developers use transparently -fetch_config('internal-platform') # Found in platform source -fetch_config('react') # Found in official -fetch_config('company-data-api') # Found in data source -``` - -### **Scenario 3: Open Source Curator** - -**Setup:** -```bash -# Community member creates curated collection -gh repo create awesome-ai/skill-configs --public -# Adds 50+ AI framework configs -``` - -**Community Usage:** -```python -# Anyone can add this public collection -add_config_source( - name='ai-frameworks', - git_url='https://github.com/awesome-ai/skill-configs.git' -) - -# Access curated configs -fetch_config(source='ai-frameworks', list_available=true) -# Shows: tensorflow, pytorch, jax, keras, transformers, etc. -``` - ---- - -## ๐ŸŽจ Part 6: Design Decisions & Trade-offs - -### **Decision 1: Git vs API vs Database** - -| Approach | Pros | Cons | Verdict | -|----------|------|------|---------| -| **Git repos** | - Version control
- Existing auth
- Offline capable
- Familiar | - Git dependency
- Clone overhead
- Disk space | โœ… **CHOOSE THIS** | -| **Central API** | - Fast
- No git needed
- Easy search | - Single point of failure
- No offline
- Server costs | โŒ Not decentralized | -| **Database** | - Fast queries
- Advanced search | - Complex setup
- Not portable | โŒ Over-engineered | - -**Winner**: Git repositories - aligns with developer workflows, decentralized, free hosting - -### **Decision 2: Caching Strategy** - -| Strategy | Disk Usage | Speed | Freshness | Verdict | -|----------|------------|-------|-----------|---------| -| **No cache** | None | Slow (clone each time) | Always fresh | โŒ Too slow | -| **Full clone** | High (~50MB per repo) | Medium | Manual refresh | โš ๏ธ Acceptable | -| **Shallow clone** | Low (~5MB per repo) | Fast | Manual refresh | โœ… **BEST** | -| **Sparse checkout** | Minimal (~1MB) | Fast | Manual refresh | โœ… **IDEAL** | - -**Winner**: Shallow clone with TTL-based auto-refresh - -### **Decision 3: Token Storage** - -| Method | Security | Ease | Cross-platform | Verdict | -|--------|----------|------|----------------|---------| -| **Plain text** | โŒ Insecure | โœ… Easy | โœ… Yes | โŒ NO | -| **Keyring** | โœ… Secure | โš ๏ธ Medium | โš ๏ธ Mostly | โœ… **PRIMARY** | -| **Env vars only** | โš ๏ธ OK | โœ… Easy | โœ… Yes | โœ… **FALLBACK** | -| **Encrypted file** | โš ๏ธ OK | โŒ Complex | โœ… Yes | โŒ Over-engineered | - -**Winner**: Keyring (primary) + Environment variables (fallback) - ---- - -## ๐Ÿ›ฃ๏ธ Part 7: Implementation Roadmap - -### **Phase 1: Prototype (1-2 hours)** -**Goal**: Prove the concept works - -```python -# Just add git_url parameter to fetch_config -fetch_config( - git_url='https://github.com/user/configs.git', - config_name='test' -) -# Temp clone, no caching, basic only -``` - -**Deliverable**: Working proof-of-concept - -### **Phase 2: Basic Multi-Source (3-4 hours) - A1.9** -**Goal**: Production-ready multi-source support - -**New MCP Tools:** -1. `add_config_source` - Register sources -2. `list_config_sources` - Show registered sources -3. `remove_config_source` - Unregister sources - -**Enhanced `fetch_config`:** -- Add `source` parameter -- Add `git_url` parameter -- Add `branch` parameter -- Add `token` parameter -- Add `refresh` parameter - -**Infrastructure:** -- SourceManager class -- GitConfigRepo class -- ~/.skill-seekers/sources.json -- Shallow clone caching - -**Deliverable**: Team-ready multi-source system - -### **Phase 3: Advanced Features (4-6 hours)** -**Goal**: Enterprise features - -**Features:** -1. **Multi-source search**: Search config across all sources -2. **Conflict resolution**: Show all sources with same config name -3. **Token management**: Keyring integration -4. **Auto-refresh**: TTL-based cache updates -5. **Offline mode**: Work without network - -**Deliverable**: Enterprise-ready system - -### **Phase 4: Polish & UX (2-3 hours)** -**Goal**: Great user experience - -**Features:** -1. Better error messages -2. Progress indicators for git ops -3. Source validation (check URL before adding) -4. Migration tool (convert old to new) -5. Documentation & examples - ---- - -## ๐Ÿ”’ Part 8: Security Considerations - -### **Threat Model** - -| Threat | Impact | Mitigation | -|--------|--------|------------| -| **Malicious git URL** | Code execution via git exploits | URL validation, shallow clone, sandboxing | -| **Token exposure** | Unauthorized repo access | Keyring storage, never log tokens | -| **Supply chain attack** | Malicious configs | Config validation, source trust levels | -| **MITM attacks** | Token interception | HTTPS only, certificate verification | - -### **Security Measures** - -1. **URL Validation**: - ```python - def validate_git_url(url): - # Only allow https://, git@, file:// (file only in dev mode) - # Block suspicious patterns - # DNS lookup to prevent SSRF - ``` - -2. **Token Handling**: - ```python - # NEVER do this: - logger.info(f"Using token: {token}") # โŒ - - # DO this: - logger.info("Using token: ") # โœ… - ``` - -3. **Config Sandboxing**: - ```python - # Validate configs from untrusted sources - ConfigValidator(untrusted_config).validate() - # Check for suspicious patterns - ``` - ---- - -## ๐Ÿ’ก Part 9: Key Insights & Recommendations - -### **What Makes This Powerful** - -1. **Network Effects**: More sources โ†’ More configs โ†’ More value -2. **Zero Lock-in**: Use any git hosting (GitHub, GitLab, Bitbucket, self-hosted) -3. **Privacy First**: Keep sensitive configs private -4. **Team-Friendly**: Perfect for 3-5 person teams -5. **Decentralized**: No single point of failure - -### **Competitive Advantage** - -This makes Skill Seekers similar to: -- **npm**: Multiple registries (npmjs.com + private) -- **Docker**: Multiple registries (Docker Hub + private) -- **PyPI**: Public + private package indexes -- **Git**: Multiple remotes - -**But for CONFIG FILES instead of packages!** - -### **Business Model Implications** - -- **Official repo**: Free, public, community-driven -- **Private repos**: Users bring their own (GitHub, GitLab) -- **Enterprise features**: Could offer sync services, mirrors, caching -- **Marketplace**: Future monetization via verified configs, premium features - -### **What to Build NEXT** - -**Immediate Priority:** -1. **Fix A1.3**: Use proper ConfigValidator for submit_config -2. **Start A1.9 Phase 1**: Prototype git_url parameter -3. **Test with public repos**: Prove concept before private repos - -**This Week:** -- A1.3 validation fix (30 minutes) -- A1.9 Phase 1 prototype (2 hours) -- A1.9 Phase 2 implementation (3-4 hours) - -**This Month:** -- A1.9 Phase 3 (advanced features) -- A1.7 (install_skill workflow) -- Documentation & examples - ---- - -## ๐ŸŽฏ Part 10: Action Items - -### **Critical (Do Now):** - -1. **Fix A1.3 Validation** โš ๏ธ HIGH PRIORITY - ```python - # In submit_config_tool, replace basic validation with: - from config_validator import ConfigValidator - - try: - validator = ConfigValidator(config_data) - validator.validate() - except ValueError as e: - return error_with_details(e) - ``` - -2. **Test A1.9 Concept** - ```python - # Quick prototype - add to fetch_config: - if git_url: - temp_dir = tempfile.mkdtemp() - subprocess.run(['git', 'clone', '--depth', '1', git_url, temp_dir]) - # Read config from temp_dir - ``` - -### **High Priority (This Week):** - -3. **Implement A1.9 Phase 2** - - SourceManager class - - add_config_source tool - - Enhanced fetch_config - - Caching infrastructure - -4. **Documentation** - - Update A1.9 issue with implementation plan - - Create MULTI_SOURCE_GUIDE.md - - Update README with examples - -### **Medium Priority (This Month):** - -5. **A1.7 - install_skill** (most user value!) -6. **A1.4 - Static website** (visibility) -7. **Polish & testing** - ---- - -## ๐Ÿค” Open Questions for Discussion - -1. **Validation**: Should submit_config use full ConfigValidator or keep it simple? -2. **Caching**: 24-hour TTL too long/short for team repos? -3. **Priority**: Should A1.7 (install_skill) come before A1.9? -4. **Security**: Keyring mandatory or optional? -5. **UX**: Auto-refresh on every fetch vs manual refresh command? -6. **Migration**: How to migrate existing users to multi-source model? - ---- - -## ๐Ÿ“ˆ Success Metrics - -### **A1.9 Success Criteria:** - -- [ ] Can add custom git repo as source -- [ ] Can fetch config from private GitHub repo -- [ ] Can fetch config from private GitLab repo -- [ ] Caching works (no repeated clones) -- [ ] Token auth works (HTTPS + token) -- [ ] Multiple sources work simultaneously -- [ ] Priority resolution works correctly -- [ ] Offline mode works with cache -- [ ] Documentation complete -- [ ] Tests pass - -### **Adoption Goals:** - -- **Week 1**: 5 early adopters test private repos -- **Month 1**: 10 teams using team-shared configs -- **Month 3**: 50+ custom config sources registered -- **Month 6**: Feature parity with npm's registry system - ---- - -## ๐ŸŽ‰ Conclusion - -**The Evolution:** -``` -Current: ONE official public repo -โ†“ -A1.9: MANY repos (public + private) -โ†“ -Future: ECOSYSTEM (marketplace, ratings, continuous updates) -``` - -**The Vision:** -Transform Skill Seekers from a "tool with configs" into a "platform for config sharing" - the npm/PyPI of documentation configs. - -**Next Steps:** -1. Fix A1.3 validation (30 min) -2. Prototype A1.9 (2 hours) -3. Implement A1.9 Phase 2 (3-4 hours) -4. Merge and deploy! ๐Ÿš€ diff --git a/REDDIT_POST_v2.2.0.md b/REDDIT_POST_v2.2.0.md deleted file mode 100644 index 5ff783f..0000000 --- a/REDDIT_POST_v2.2.0.md +++ /dev/null @@ -1,75 +0,0 @@ -# Reddit Post - Skill Seekers v2.2.0 - -**Target Subreddit:** r/ClaudeAI - ---- - -## Title - -Skill Seekers v2.2.0: Official Skill Library with 24+ Presets, Free Team Sharing (No Team Plan Required), and Custom Skill Repos Support - ---- - -## Body - -Hey everyone! ๐Ÿ‘‹ - -Just released Skill Seekers v2.2.0 - a big update for the tool that converts any documentation into Claude AI skills. - -## ๐ŸŽฏ Headline Features: - -**1. Skill Library (Official Configs)** - -24+ ready-to-use skill configs including React, Django, Godot, FastAPI, and more. No setup required - just works out of the box: - -```python -fetch_config(config_name="godot") -``` - -**You can also contribute your own configs to the official Skill Library for everyone to use!** - -**2. Free Team Sharing** - -Share custom skill configs across your team without needing any paid plan. Register your private repo once and everyone can access: - -```python -add_config_source(name="team", git_url="https://github.com/mycompany/configs.git") -fetch_config(source="team", config_name="internal-api") -``` - -**3. Custom Skill Repos** - -Fetch configs directly from any git URL - GitHub, GitLab, Bitbucket, or Gitea: - -```python -fetch_config(git_url="https://github.com/someorg/configs.git", config_name="custom-config") -``` - -## Other Changes: - -- **Unified Language Detector** - Support for 20+ programming languages with confidence-based detection -- **Retry Utilities** - Exponential backoff for network resilience with async support -- **Performance** - Shallow clone (10-50x faster), intelligent caching, offline mode support -- **Security** - Tokens via environment variables only (never stored in files) -- **Bug Fixes** - Fixed local repository extraction limitations - -## Install/Upgrade: - -```bash -pip install --upgrade skill-seekers -``` - -**Links:** -- GitHub: https://github.com/yusufkaraaslan/Skill_Seekers -- PyPI: https://pypi.org/project/skill-seekers/ -- Release Notes: https://github.com/yusufkaraaslan/Skill_Seekers/releases/tag/v2.2.0 - -Let me know if you have questions! ๐Ÿš€ - ---- - -## Notes - -- Posted on: [Date] -- Subreddit: r/ClaudeAI -- Post URL: [Add after posting] diff --git a/SKILL_QUALITY_ANALYSIS.md b/SKILL_QUALITY_ANALYSIS.md deleted file mode 100644 index e222688..0000000 --- a/SKILL_QUALITY_ANALYSIS.md +++ /dev/null @@ -1,467 +0,0 @@ -# HTTPX Skill Quality Analysis -**Generated:** 2026-01-11 -**Skill:** httpx (encode/httpx) -**Total Time:** ~25 minutes -**Total Size:** 14.8M - ---- - -## ๐ŸŽฏ Executive Summary - -**Overall Grade: C+ (6.5/10)** - -The skill generation **technically works** but produces a **minimal, reference-heavy output** that doesn't meet the original vision of a rich, consolidated knowledge base. The unified scraper successfully orchestrates multi-source collection but **fails to synthesize** the content into an actionable SKILL.md. - ---- - -## โœ… What Works Well - -### 1. **Multi-Source Orchestration** โญโญโญโญโญ -- โœ… Successfully scraped 25 pages from python-httpx.org -- โœ… Cloned 13M GitHub repo to `output/httpx_github_repo/` (kept for reuse!) -- โœ… Extracted GitHub metadata (issues, releases, README) -- โœ… All sources processed without errors - -### 2. **C3.x Codebase Analysis** โญโญโญโญ -- โœ… **Pattern Detection (C3.1)**: 121 patterns detected across 20 files - - Strategy (50), Adapter (30), Factory (15), Decorator (14) -- โœ… **Configuration Analysis (C3.4)**: 8 config files, 56 settings extracted - - pyproject.toml, mkdocs.yml, GitHub workflows parsed correctly -- โœ… **Architecture Overview (C3.5)**: Generated ARCHITECTURE.md with stack info - -### 3. **Reference Organization** โญโญโญโญ -- โœ… 12 markdown files organized by source -- โœ… 2,571 lines of documentation references -- โœ… 389 lines of GitHub references -- โœ… 840 lines of codebase analysis references - -### 4. **Repository Cloning** โญโญโญโญโญ -- โœ… Full clone (not shallow) for complete analysis -- โœ… Saved to `output/httpx_github_repo/` for reuse -- โœ… Detects existing clone and reuses (instant on second run!) - ---- - -## โŒ Critical Problems - -### 1. **SKILL.md is Essentially Useless** โญ (2/10) - -**Problem:** -```markdown -# Current: 53 lines (1.6K) -- Just metadata + links to references -- NO actual content -- NO quick reference patterns -- NO API examples -- NO code snippets - -# What it should be: 500+ lines (15K+) -- Consolidated best content from all sources -- Quick reference with top 10 patterns -- API documentation snippets -- Real usage examples -- Common pitfalls and solutions -``` - -**Root Cause:** -The `unified_skill_builder.py` treats SKILL.md as a "table of contents" rather than a knowledge synthesis. It only creates: -1. Source list -2. C3.x summary stats -3. Links to references - -But it does NOT include: -- The "Quick Reference" section that standalone `doc_scraper` creates -- Actual API documentation -- Example code patterns -- Best practices - -**Evidence:** -- Standalone `httpx_docs/SKILL.md`: **155 lines** with 8 patterns + examples -- Unified `httpx/SKILL.md`: **53 lines** with just links -- **Content loss: 66%** of useful information - ---- - -### 2. **Test Example Quality is Poor** โญโญ (4/10) - -**Problem:** -```python -# 215 total examples extracted -# Only 2 are actually useful (complexity > 0.5) -# 99% are trivial test assertions like: - -{ - "code": "h.setdefault('a', '3')\nassert dict(h) == {'a': '2'}", - "complexity_score": 0.3, - "description": "test header mutations" -} -``` - -**Why This Matters:** -- Test examples should show HOW to use the library -- Most extracted examples are internal test assertions, not user-facing usage -- Quality filtering (complexity_score) exists but threshold is too low -- Missing context: Most examples need setup code to be useful - -**What's Missing:** -```python -# Should extract examples like this: -import httpx - -client = httpx.Client() -response = client.get('https://example.com', - headers={'User-Agent': 'my-app'}, - timeout=30.0) -print(response.status_code) -client.close() -``` - -**Fix Needed:** -- Raise complexity threshold from 0.3 to 0.7 -- Extract from example files (docs/examples/), not just tests/ -- Include setup_code context -- Filter out assert-only snippets - ---- - -### 3. **How-To Guide Generation Failed Completely** โญ (0/10) - -**Problem:** -```json -{ - "guides": [] -} -``` - -**Expected:** -- 5-10 step-by-step guides extracted from test workflows -- "How to make async requests" -- "How to use authentication" -- "How to handle timeouts" - -**Root Cause:** -The C3.3 workflow detection likely failed because: -1. No clear workflow patterns in httpx tests (mostly unit tests) -2. Workflow detection heuristics too strict -3. No fallback to generating guides from docs examples - ---- - -### 4. **Pattern Detection Has Issues** โญโญโญ (6/10) - -**Problems:** - -**A. Multiple Patterns Per Class (Noisy)** -```markdown -### Strategy -- **Class**: `DigestAuth` -- **Confidence**: 0.50 - -### Factory -- **Class**: `DigestAuth` -- **Confidence**: 0.90 - -### Adapter -- **Class**: `DigestAuth` -- **Confidence**: 0.50 -``` -Same class tagged with 3 patterns. Should pick the BEST one (Factory, 0.90). - -**B. Low Confidence Scores** -- 60% of patterns have confidence < 0.6 -- Showing low-confidence noise instead of clear patterns - -**C. Ugly Path Display** -``` -/mnt/1ece809a-2821-4f10-aecb-fcdf34760c0b/Git/Skill_Seekers/output/httpx_github_repo/httpx/_auth.py -``` -Should be relative: `httpx/_auth.py` - -**D. No Pattern Explanations** -Just lists "Strategy" but doesn't explain: -- What strategy pattern means -- Why it's useful -- How to use it - ---- - -### 5. **Documentation Content Not Consolidated** โญโญ (4/10) - -**Problem:** -The standalone doc scraper generated a rich 155-line SKILL.md with: -- 8 common patterns from documentation -- API method signatures -- Usage examples -- Code snippets - -The unified scraper **threw all this away** and created a 53-line skeleton instead. - -**Why?** -```python -# unified_skill_builder.py lines 73-162 -def _generate_skill_md(self): - # Only generates metadata + links - # Does NOT pull content from doc_scraper's SKILL.md - # Does NOT extract patterns from references -``` - ---- - -## ๐Ÿ“Š Detailed Metrics - -### File Sizes -``` -Total: 14.8M -โ”œโ”€โ”€ httpx/ 452K (Final skill) -โ”‚ โ”œโ”€โ”€ SKILL.md 1.6K โŒ TOO SMALL -โ”‚ โ””โ”€โ”€ references/ 450K โœ… Good -โ”œโ”€โ”€ httpx_docs/ 136K -โ”‚ โ””โ”€โ”€ SKILL.md 13K โœ… Has actual content -โ”œโ”€โ”€ httpx_docs_data/ 276K (Raw data) -โ”œโ”€โ”€ httpx_github_repo/ 13M โœ… Cloned repo -โ””โ”€โ”€ httpx_github_github_data.json 152K โœ… Metadata -``` - -### Content Analysis -``` -Documentation References: 2,571 lines โœ… -โ”œโ”€โ”€ advanced.md: 1,065 lines -โ”œโ”€โ”€ other.md: 1,183 lines -โ”œโ”€โ”€ api.md: 313 lines -โ””โ”€โ”€ index.md: 10 lines - -GitHub References: 389 lines โœ… -โ”œโ”€โ”€ README.md: 149 lines -โ”œโ”€โ”€ releases.md: 145 lines -โ””โ”€โ”€ issues.md: 95 lines - -Codebase Analysis: 840 lines + 249K JSON โš ๏ธ -โ”œโ”€โ”€ patterns/index.md: 649 lines (noisy) -โ”œโ”€โ”€ examples/test_examples: 215 examples (213 trivial) -โ”œโ”€โ”€ guides/: 0 guides โŒ FAILED -โ”œโ”€โ”€ configuration: 8 files, 56 settings โœ… -โ””โ”€โ”€ ARCHITECTURE.md: 56 lines โœ… -``` - -### C3.x Analysis Results -``` -โœ… C3.1 Patterns: 121 detected (but noisy) -โš ๏ธ C3.2 Examples: 215 extracted (only 2 useful) -โŒ C3.3 Guides: 0 generated (FAILED) -โœ… C3.4 Configs: 8 files, 56 settings -โœ… C3.5 Architecture: Generated -``` - ---- - -## ๐Ÿ”ง What's Missing & How to Fix - -### 1. **Rich SKILL.md Content** (CRITICAL) - -**Missing:** -- Quick Reference with top 10 API patterns -- Common usage examples -- Code snippets showing best practices -- Troubleshooting section -- "Getting Started" quick guide - -**Solution:** -Modify `unified_skill_builder.py` to: -```python -def _generate_skill_md(self): - # 1. Add Quick Reference section - self._add_quick_reference() # Extract from doc_scraper's SKILL.md - - # 2. Add Top Patterns section - self._add_top_patterns() # Show top 5 patterns with examples - - # 3. Add Usage Examples section - self._add_usage_examples() # Extract high-quality test examples - - # 4. Add Common Issues section - self._add_common_issues() # Extract from GitHub issues - - # 5. Add Getting Started section - self._add_getting_started() # Extract from docs quickstart -``` - -**Implementation:** -1. Load `httpx_docs/SKILL.md` (has patterns + examples) -2. Extract "Quick Reference" section -3. Merge into unified SKILL.md -4. Add C3.x insights (patterns, examples) -5. Target: 500+ lines with actionable content - ---- - -### 2. **Better Test Example Filtering** (HIGH PRIORITY) - -**Fix:** -```python -# In test_example_extractor.py -COMPLEXITY_THRESHOLD = 0.7 # Up from 0.3 -MIN_CODE_LENGTH = 100 # Filter out trivial snippets - -# Also extract from: -- docs/examples/*.py -- README.md code blocks -- Getting Started guides - -# Include context: -- Setup code before the example -- Expected output after -- Common variations -``` - ---- - -### 3. **Generate Guides from Docs** (MEDIUM PRIORITY) - -**Current:** Only looks at test files for workflows -**Fix:** Also extract from: -- Documentation "Tutorial" sections -- "How-To" pages in docs -- README examples -- Migration guides - -**Fallback Strategy:** -If no test workflows found, generate guides from: -1. Docs tutorial pages โ†’ Convert to markdown guides -2. README examples โ†’ Expand into step-by-step -3. Common GitHub issues โ†’ "How to solve X" guides - ---- - -### 4. **Cleaner Pattern Presentation** (MEDIUM PRIORITY) - -**Fix:** -```python -# In pattern_recognizer.py output formatting: - -# 1. Deduplicate: One pattern per class (highest confidence) -# 2. Filter: Only show confidence > 0.7 -# 3. Clean paths: Use relative paths -# 4. Add explanations: - -### Strategy Pattern -**Class**: `httpx._auth.Auth` -**Confidence**: 0.90 -**Purpose**: Allows different authentication strategies (Basic, Digest, NetRC) - to be swapped at runtime without changing client code. -**Related Classes**: BasicAuth, DigestAuth, NetRCAuth -``` - ---- - -### 5. **Content Synthesis** (CRITICAL) - -**Problem:** References are organized but not synthesized. - -**Solution:** Add a synthesis phase: -```python -class ContentSynthesizer: - def synthesize(self, scraped_data): - # 1. Extract best patterns from docs SKILL.md - # 2. Extract high-value test examples (complexity > 0.7) - # 3. Extract API docs from references - # 4. Merge with C3.x insights - # 5. Generate cohesive SKILL.md - - return { - 'quick_reference': [...], # Top 10 patterns - 'api_reference': [...], # Key APIs with examples - 'usage_examples': [...], # Real-world usage - 'common_issues': [...], # From GitHub issues - 'architecture': [...] # From C3.5 - } -``` - ---- - -## ๐ŸŽฏ Recommended Priority Fixes - -### P0 (Must Fix - Blocks Production Use) -1. โœ… **Fix SKILL.md content** - Add Quick Reference, patterns, examples -2. โœ… **Pull content from doc_scraper's SKILL.md** into unified SKILL.md - -### P1 (High Priority - Significant Quality Impact) -3. โš ๏ธ **Improve test example filtering** - Raise threshold, add context -4. โš ๏ธ **Generate guides from docs** - Fallback when no test workflows - -### P2 (Medium Priority - Polish) -5. ๐Ÿ”ง **Clean up pattern presentation** - Deduplicate, filter, explain -6. ๐Ÿ”ง **Add synthesis phase** - Consolidate best content into SKILL.md - -### P3 (Nice to Have) -7. ๐Ÿ’ก **Add troubleshooting section** from GitHub issues -8. ๐Ÿ’ก **Add migration guides** if multiple versions detected -9. ๐Ÿ’ก **Add performance tips** from docs + code analysis - ---- - -## ๐Ÿ† Success Criteria - -A **production-ready skill** should have: - -### โœ… **SKILL.md Quality** -- [ ] 500+ lines of actionable content -- [ ] Quick Reference with top 10 patterns -- [ ] 5+ usage examples with context -- [ ] API reference with key methods -- [ ] Common issues + solutions -- [ ] Getting started guide - -### โœ… **C3.x Analysis Quality** -- [ ] Patterns: Only high-confidence (>0.7), deduplicated -- [ ] Examples: 20+ high-quality (complexity >0.7) with context -- [ ] Guides: 3+ step-by-step tutorials -- [ ] Configs: Analyzed + explained (not just listed) -- [ ] Architecture: Overview + design rationale - -### โœ… **References Quality** -- [ ] Organized by topic (not just by source) -- [ ] Cross-linked (SKILL.md โ†’ references โ†’ SKILL.md) -- [ ] Search-friendly (good headings, TOC) - ---- - -## ๐Ÿ“ˆ Expected Improvement Impact - -### After Implementing P0 Fixes: -**Current:** SKILL.md = 1.6K (53 lines, no content) -**Target:** SKILL.md = 15K+ (500+ lines, rich content) -**Impact:** **10x quality improvement** - -### After Implementing P0 + P1 Fixes: -**Current Grade:** C+ (6.5/10) -**Target Grade:** A- (8.5/10) -**Impact:** **Professional, production-ready skill** - ---- - -## ๐ŸŽฏ Bottom Line - -**What Works:** -- Multi-source orchestration โœ… -- Repository cloning โœ… -- C3.x analysis infrastructure โœ… -- Reference organization โœ… - -**What's Broken:** -- SKILL.md is empty (just metadata + links) โŒ -- Test examples are 99% trivial โŒ -- Guide generation failed (0 guides) โŒ -- Pattern presentation is noisy โŒ -- No content synthesis โŒ - -**The Core Issue:** -The unified scraper is a **collector, not a synthesizer**. It gathers data from multiple sources but doesn't **consolidate the best insights** into an actionable SKILL.md. - -**Next Steps:** -1. Implement P0 fixes to pull doc_scraper content into unified SKILL.md -2. Add synthesis phase to consolidate best patterns + examples -3. Target: Transform from "reference index" โ†’ "knowledge base" - ---- - -**Honest Assessment:** The current output is a **great MVP** that proves the architecture works, but it's **not yet production-ready**. With P0+P1 fixes (4-6 hours of work), it would be **excellent**. diff --git a/STRUCTURE.md b/STRUCTURE.md deleted file mode 100644 index 81c2fcf..0000000 --- a/STRUCTURE.md +++ /dev/null @@ -1,124 +0,0 @@ -# Repository Structure - -``` -Skill_Seekers/ -โ”‚ -โ”œโ”€โ”€ ๐Ÿ“„ Root Documentation -โ”‚ โ”œโ”€โ”€ README.md # Main documentation (start here!) -โ”‚ โ”œโ”€โ”€ CLAUDE.md # Quick reference for Claude Code -โ”‚ โ”œโ”€โ”€ QUICKSTART.md # 3-step quick start guide -โ”‚ โ”œโ”€โ”€ ROADMAP.md # Development roadmap -โ”‚ โ”œโ”€โ”€ TODO.md # Current sprint tasks -โ”‚ โ”œโ”€โ”€ STRUCTURE.md # This file -โ”‚ โ”œโ”€โ”€ LICENSE # MIT License -โ”‚ โ””โ”€โ”€ .gitignore # Git ignore rules -โ”‚ -โ”œโ”€โ”€ ๐Ÿ”ง CLI Tools (cli/) -โ”‚ โ”œโ”€โ”€ doc_scraper.py # Main scraping tool -โ”‚ โ”œโ”€โ”€ estimate_pages.py # Page count estimator -โ”‚ โ”œโ”€โ”€ enhance_skill.py # AI enhancement (API-based) -โ”‚ โ”œโ”€โ”€ enhance_skill_local.py # AI enhancement (LOCAL, no API) -โ”‚ โ”œโ”€โ”€ package_skill.py # Skill packaging tool -โ”‚ โ””โ”€โ”€ run_tests.py # Test runner -โ”‚ -โ”œโ”€โ”€ ๐ŸŒ MCP Server (mcp/) -โ”‚ โ”œโ”€โ”€ server.py # Main MCP server -โ”‚ โ”œโ”€โ”€ requirements.txt # MCP dependencies -โ”‚ โ””โ”€โ”€ README.md # MCP setup guide -โ”‚ -โ”œโ”€โ”€ ๐Ÿ“ configs/ # Preset configurations -โ”‚ โ”œโ”€โ”€ godot.json -โ”‚ โ”œโ”€โ”€ react.json -โ”‚ โ”œโ”€โ”€ vue.json -โ”‚ โ”œโ”€โ”€ django.json -โ”‚ โ”œโ”€โ”€ fastapi.json -โ”‚ โ”œโ”€โ”€ kubernetes.json -โ”‚ โ””โ”€โ”€ steam-economy-complete.json -โ”‚ -โ”œโ”€โ”€ ๐Ÿงช tests/ # Test suite (71 tests, 100% pass rate) -โ”‚ โ”œโ”€โ”€ test_config_validation.py -โ”‚ โ”œโ”€โ”€ test_integration.py -โ”‚ โ””โ”€โ”€ test_scraper_features.py -โ”‚ -โ”œโ”€โ”€ ๐Ÿ“š docs/ # Detailed documentation -โ”‚ โ”œโ”€โ”€ CLAUDE.md # Technical architecture -โ”‚ โ”œโ”€โ”€ ENHANCEMENT.md # AI enhancement guide -โ”‚ โ”œโ”€โ”€ USAGE.md # Complete usage guide -โ”‚ โ”œโ”€โ”€ TESTING.md # Testing guide -โ”‚ โ””โ”€โ”€ UPLOAD_GUIDE.md # How to upload skills -โ”‚ -โ”œโ”€โ”€ ๐Ÿ”€ .github/ # GitHub configuration -โ”‚ โ”œโ”€โ”€ SETUP_GUIDE.md # GitHub project setup -โ”‚ โ”œโ”€โ”€ ISSUES_TO_CREATE.md # Issue templates -โ”‚ โ””โ”€โ”€ ISSUE_TEMPLATE/ # Issue templates -โ”‚ -โ””โ”€โ”€ ๐Ÿ“ฆ output/ # Generated skills (git-ignored) - โ”œโ”€โ”€ {name}_data/ # Scraped raw data (cached) - โ””โ”€โ”€ {name}/ # Built skills - โ”œโ”€โ”€ SKILL.md # Main skill file - โ””โ”€โ”€ references/ # Reference documentation -``` - -## Key Files - -### For Users: -- **README.md** - Start here for overview and installation -- **QUICKSTART.md** - Get started in 3 steps -- **configs/** - 7 ready-to-use presets -- **mcp/README.md** - MCP server setup for Claude Code - -### For CLI Usage: -- **cli/doc_scraper.py** - Main scraping tool -- **cli/estimate_pages.py** - Page count estimator -- **cli/enhance_skill_local.py** - Local enhancement (no API key) -- **cli/package_skill.py** - Package skills to .zip - -### For MCP Usage (Claude Code): -- **mcp/server.py** - MCP server (6 tools) -- **mcp/README.md** - Setup instructions -- **configs/** - Shared configurations - -### For Developers: -- **docs/CLAUDE.md** - Architecture and internals -- **docs/USAGE.md** - Complete usage guide -- **docs/TESTING.md** - Testing guide -- **tests/** - 71 tests (100% pass rate) - -### For Contributors: -- **ROADMAP.md** - Development roadmap -- **TODO.md** - Current sprint tasks -- **.github/SETUP_GUIDE.md** - GitHub setup -- **LICENSE** - MIT License - -## Architecture - -### Monorepo Structure - -The repository is organized as a monorepo with two main components: - -1. **CLI Tools** (`cli/`): Standalone Python scripts for direct command-line usage -2. **MCP Server** (`mcp/`): Model Context Protocol server for Claude Code integration - -Both components share the same configuration files and output directory. - -### Data Flow - -``` -Config (configs/*.json) - โ†“ -CLI Tools OR MCP Server - โ†“ -Scraper (cli/doc_scraper.py) - โ†“ -Output (output/{name}_data/) - โ†“ -Builder (cli/doc_scraper.py) - โ†“ -Skill (output/{name}/) - โ†“ -Enhancer (optional) - โ†“ -Packager (cli/package_skill.py) - โ†“ -Skill .zip (output/{name}.zip) -``` diff --git a/SUMMARY_HTTP_TRANSPORT.md b/SUMMARY_HTTP_TRANSPORT.md deleted file mode 100644 index fcb7cce..0000000 --- a/SUMMARY_HTTP_TRANSPORT.md +++ /dev/null @@ -1,291 +0,0 @@ -# HTTP Transport Feature - Implementation Summary - -## Overview - -Successfully added HTTP transport support to the FastMCP server (`server_fastmcp.py`), enabling web-based MCP clients to connect while maintaining full backward compatibility with stdio transport. - -## Changes Made - -### 1. Updated `src/skill_seekers/mcp/server_fastmcp.py` - -**Added Features:** -- โœ… Command-line argument parsing (`--http`, `--port`, `--host`, `--log-level`) -- โœ… HTTP transport implementation using uvicorn + Starlette -- โœ… Health check endpoint (`GET /health`) -- โœ… CORS middleware for cross-origin requests -- โœ… Logging configuration -- โœ… Graceful error handling and shutdown -- โœ… Backward compatibility with stdio (default) - -**Key Functions:** -- `parse_args()`: Command-line argument parser -- `setup_logging()`: Logging configuration -- `run_http_server()`: HTTP server implementation with uvicorn -- `main()`: Updated to support both transports - -### 2. Created `tests/test_server_fastmcp_http.py` - -**Test Coverage:** -- โœ… Health check endpoint functionality -- โœ… SSE endpoint availability -- โœ… CORS middleware integration -- โœ… Command-line argument parsing (default, HTTP, custom port) -- โœ… Log level configuration - -**Results:** 6/6 tests passing - -### 3. Created `examples/test_http_server.py` - -**Purpose:** Manual integration testing script - -**Features:** -- Starts HTTP server in background -- Tests health endpoint -- Tests SSE endpoint availability -- Shows Claude Desktop configuration -- Graceful cleanup - -### 4. Created `docs/HTTP_TRANSPORT.md` - -**Documentation Sections:** -- Quick start guide -- Why use HTTP vs stdio -- Configuration examples -- Endpoint reference -- Security considerations -- Testing instructions -- Troubleshooting guide -- Migration guide -- Architecture overview - -## Usage Examples - -### Stdio Transport (Default - Backward Compatible) -```bash -python -m skill_seekers.mcp.server_fastmcp -``` - -### HTTP Transport (New!) -```bash -# Default port 8000 -python -m skill_seekers.mcp.server_fastmcp --http - -# Custom port -python -m skill_seekers.mcp.server_fastmcp --http --port 8080 - -# Debug mode -python -m skill_seekers.mcp.server_fastmcp --http --log-level DEBUG -``` - -## Configuration for Claude Desktop - -### Stdio (Default) -```json -{ - "mcpServers": { - "skill-seeker": { - "command": "python", - "args": ["-m", "skill_seekers.mcp.server_fastmcp"] - } - } -} -``` - -### HTTP (Alternative) -```json -{ - "mcpServers": { - "skill-seeker": { - "url": "http://localhost:8000/sse" - } - } -} -``` - -## HTTP Endpoints - -1. **Health Check**: `GET /health` - - Returns server status and metadata - - Useful for monitoring and debugging - -2. **SSE Endpoint**: `GET /sse` - - Main MCP communication channel - - Server-Sent Events for real-time updates - -3. **Messages**: `POST /messages/` - - Tool invocation endpoint - - Handled by FastMCP automatically - -## Technical Details - -### Dependencies -- **FastMCP**: MCP server framework (already installed) -- **uvicorn**: ASGI server for HTTP mode (required for HTTP) -- **starlette**: ASGI framework (via FastMCP) - -### Transport Architecture - -**Stdio Mode:** -``` -Claude Desktop โ†’ stdin/stdout โ†’ FastMCP โ†’ Tools -``` - -**HTTP Mode:** -``` -Claude Desktop โ†’ HTTP/SSE โ†’ uvicorn โ†’ Starlette โ†’ FastMCP โ†’ Tools -``` - -### CORS Support -- Enabled by default in HTTP mode -- Allows all origins for development -- Customizable in production - -### Logging -- Configurable log levels: DEBUG, INFO, WARNING, ERROR, CRITICAL -- Structured logging format with timestamps -- Separate access logs via uvicorn - -## Testing - -### Automated Tests -```bash -# Run HTTP transport tests -pytest tests/test_server_fastmcp_http.py -v - -# Results: 6/6 passing -``` - -### Manual Tests -```bash -# Run integration test -python examples/test_http_server.py - -# Results: All tests passing -``` - -### Health Check Test -```bash -# Start server -python -m skill_seekers.mcp.server_fastmcp --http & - -# Test endpoint -curl http://localhost:8000/health - -# Expected response: -# { -# "status": "healthy", -# "server": "skill-seeker-mcp", -# "version": "2.1.1", -# "transport": "http", -# "endpoints": {...} -# } -``` - -## Backward Compatibility - -### โœ… Verified -- Default behavior unchanged (stdio transport) -- Existing configurations work without modification -- No breaking changes to API -- HTTP is opt-in via `--http` flag - -### Migration Path -1. HTTP transport is optional -2. Stdio remains default and recommended for most users -3. Existing users can continue using stdio -4. New users can choose based on needs - -## Security Considerations - -### Default Security -- Binds to `127.0.0.1` (localhost only) -- No authentication required for local access -- CORS enabled for development - -### Production Recommendations -- Use reverse proxy (nginx) with SSL/TLS -- Implement authentication/authorization -- Restrict CORS to specific origins -- Use firewall rules -- Consider VPN for remote access - -## Performance - -### Benchmarks (Local Testing) -- Startup time: ~200ms (HTTP), ~100ms (stdio) -- Health check: ~5-10ms latency -- Tool invocation overhead: +20-50ms (HTTP vs stdio) - -### Recommendations -- **Single user, local**: Use stdio (simpler, faster) -- **Multiple users, web**: Use HTTP (connection pooling) -- **Production**: HTTP with reverse proxy -- **Development**: Stdio for simplicity - -## Files Modified/Created - -### Modified -1. `src/skill_seekers/mcp/server_fastmcp.py` (+197 lines) - - Added imports (argparse, logging) - - Added parse_args() function - - Added setup_logging() function - - Added run_http_server() async function - - Updated main() to support both transports - -### Created -1. `tests/test_server_fastmcp_http.py` (165 lines) - - 6 comprehensive tests - - Health check, SSE, CORS, argument parsing - -2. `examples/test_http_server.py` (109 lines) - - Manual integration test script - - Demonstrates HTTP functionality - -3. `docs/HTTP_TRANSPORT.md` (434 lines) - - Complete user documentation - - Configuration, security, troubleshooting - -4. `SUMMARY_HTTP_TRANSPORT.md` (this file) - - Implementation summary - -## Success Criteria - -### โœ… All Requirements Met - -1. โœ… Command-line argument parsing (`--http`, `--port`, `--host`, `--log-level`) -2. โœ… HTTP server with uvicorn -3. โœ… Health check endpoint (`GET /health`) -4. โœ… SSE endpoint for MCP (`GET /sse`) -5. โœ… CORS middleware -6. โœ… Default port 8000 -7. โœ… Stdio as default (backward compatible) -8. โœ… Error handling and logging -9. โœ… Comprehensive tests (6/6 passing) -10. โœ… Complete documentation - -## Next Steps - -### Optional Enhancements -- [ ] Add authentication/authorization layer -- [ ] Add SSL/TLS support -- [ ] Add metrics endpoint (Prometheus) -- [ ] Add WebSocket transport option -- [ ] Add Docker deployment guide -- [ ] Add systemd service file - -### Deployment -- [ ] Update main README.md to reference HTTP transport -- [ ] Update MCP_SETUP.md with HTTP examples -- [ ] Add to CHANGELOG.md -- [ ] Consider adding to pyproject.toml as optional dependency - -## Conclusion - -Successfully implemented HTTP transport support for the FastMCP server with: -- โœ… Full backward compatibility -- โœ… Comprehensive testing (6 automated + manual tests) -- โœ… Complete documentation -- โœ… Security considerations -- โœ… Production-ready architecture - -The implementation follows best practices and maintains the project's high quality standards. diff --git a/SUMMARY_MULTI_AGENT_SETUP.md b/SUMMARY_MULTI_AGENT_SETUP.md deleted file mode 100644 index af21663..0000000 --- a/SUMMARY_MULTI_AGENT_SETUP.md +++ /dev/null @@ -1,556 +0,0 @@ -# Multi-Agent Auto-Configuration Summary - -## What Changed - -The `setup_mcp.sh` script has been completely rewritten to support automatic detection and configuration of multiple AI coding agents. - -## Key Features - -### 1. Automatic Agent Detection (NEW) -- **Scans system** for installed AI coding agents using Python `agent_detector.py` -- **Detects 5 agents**: Claude Code, Cursor, Windsurf, VS Code + Cline, IntelliJ IDEA -- **Shows transport type** for each agent (stdio or HTTP) -- **Cross-platform**: Works on Linux, macOS, Windows - -### 2. Multi-Agent Configuration (NEW) -- **Configure all agents** at once or select individually -- **Smart merging**: Preserves existing MCP server configs -- **Automatic backups**: Creates timestamped backups before modifying configs -- **Conflict detection**: Detects if skill-seeker already configured - -### 3. HTTP Server Management (NEW) -- **Auto-detect HTTP needs**: Checks if any configured agent requires HTTP transport -- **Configurable port**: Default 3000, user can customize -- **Background process**: Starts server with nohup and logging -- **Health monitoring**: Validates server startup with curl health check -- **Manual option**: Shows command to start server later - -### 4. Enhanced User Experience -- **Color-coded output**: Green (success), Yellow (warning), Red (error), Cyan (info) -- **Interactive workflow**: Step-by-step with clear prompts -- **Progress tracking**: 9 distinct steps with status indicators -- **Comprehensive testing**: Tests both stdio and HTTP transports -- **Better error handling**: Graceful fallbacks and helpful messages - -## Workflow Comparison - -### Before (Old setup_mcp.sh) - -```bash -./setup_mcp.sh -# 1. Check Python -# 2. Get repo path -# 3. Install dependencies -# 4. Test MCP server (stdio only) -# 5. Run tests (optional) -# 6. Configure Claude Code (manual JSON) -# 7. Test configuration -# 8. Final instructions - -Result: Only Claude Code configured (stdio) -``` - -### After (New setup_mcp.sh) - -```bash -./setup_mcp.sh -# 1. Check Python version (with 3.10+ warning) -# 2. Get repo path -# 3. Install dependencies (with uvicorn for HTTP) -# 4. Test MCP server (BOTH stdio AND HTTP) -# 5. Detect installed AI agents (automatic!) -# 6. Auto-configure detected agents (with merging) -# 7. Start HTTP server if needed (background process) -# 8. Test configuration (validate JSON) -# 9. Final instructions (agent-specific) - -Result: All detected agents configured (stdio + HTTP) -``` - -## Technical Implementation - -### Agent Detection (Step 5) - -**Uses Python agent_detector.py:** -```bash -DETECTED_AGENTS=$(python3 -c " -import sys -sys.path.insert(0, 'src') -from skill_seekers.mcp.agent_detector import AgentDetector -detector = AgentDetector() -agents = detector.detect_agents() -for agent in agents: - print(f\"{agent['agent']}|{agent['name']}|{agent['config_path']}|{agent['transport']}\") -") -``` - -**Output format:** -``` -claude-code|Claude Code|/home/user/.config/claude-code/mcp.json|stdio -cursor|Cursor|/home/user/.cursor/mcp_settings.json|http -``` - -### Config Generation (Step 6) - -**Stdio config (Claude Code, VS Code):** -```json -{ - "mcpServers": { - "skill-seeker": { - "command": "python", - "args": ["-m", "skill_seekers.mcp.server_fastmcp"] - } - } -} -``` - -**HTTP config (Cursor, Windsurf):** -```json -{ - "mcpServers": { - "skill-seeker": { - "url": "http://localhost:3000/sse" - } - } -} -``` - -**IntelliJ config (XML):** -```xml - - - - - - skill-seeker - http://localhost:3000 - true - - - - -``` - -### Config Merging Strategy - -**Smart merging using Python:** -```python -# Read existing config -with open(config_path, 'r') as f: - existing = json.load(f) - -# Parse new config -new = json.loads(generated_config) - -# Merge (add skill-seeker, preserve others) -if 'mcpServers' not in existing: - existing['mcpServers'] = {} -existing['mcpServers']['skill-seeker'] = new['mcpServers']['skill-seeker'] - -# Write back -with open(config_path, 'w') as f: - json.dump(existing, f, indent=2) -``` - -### HTTP Server Management (Step 7) - -**Background process with logging:** -```bash -nohup python3 -m skill_seekers.mcp.server_fastmcp --http --port $HTTP_PORT > /tmp/skill-seekers-mcp.log 2>&1 & -SERVER_PID=$! - -# Validate startup -curl -s http://127.0.0.1:$HTTP_PORT/health > /dev/null 2>&1 -``` - -## File Changes - -### Modified Files - -1. **setup_mcp.sh** (267 โ†’ 662 lines, +395 lines) - - Completely rewritten - - Added agent detection logic - - Added config merging logic - - Added HTTP server management - - Enhanced error handling - - Better user interface - -### New Files - -2. **docs/MULTI_AGENT_SETUP.md** (new, comprehensive guide) - - Quick start guide - - Workflow examples - - Configuration details - - HTTP server management - - Troubleshooting - - Advanced usage - - Migration guide - -3. **SUMMARY_MULTI_AGENT_SETUP.md** (this file) - - What changed - - Technical implementation - - Usage examples - - Testing instructions - -### Unchanged Files - -- **src/skill_seekers/mcp/agent_detector.py** (already exists, used by setup script) -- **docs/HTTP_TRANSPORT.md** (already exists, referenced in setup) -- **docs/MCP_SETUP.md** (already exists, referenced in setup) - -## Usage Examples - -### Example 1: First-Time Setup with All Agents - -```bash -$ ./setup_mcp.sh - -======================================================== -Skill Seeker MCP Server - Multi-Agent Auto-Configuration -======================================================== - -Step 1: Checking Python version... -โœ“ Python 3.13.1 found - -Step 2: Repository location -Path: /home/user/Skill_Seekers - -Step 3: Installing Python dependencies... -โœ“ Virtual environment detected: /home/user/Skill_Seekers/venv -This will install: mcp, fastmcp, requests, beautifulsoup4, uvicorn (for HTTP support) -Continue? (y/n) y -Installing package in editable mode... -โœ“ Dependencies installed successfully - -Step 4: Testing MCP server... - Testing stdio transport... - โœ“ Stdio transport working - Testing HTTP transport... - โœ“ HTTP transport working (port 8765) - -Step 5: Detecting installed AI coding agents... - -Detected AI coding agents: - - โœ“ Claude Code (stdio transport) - Config: /home/user/.config/claude-code/mcp.json - โœ“ Cursor (HTTP transport) - Config: /home/user/.cursor/mcp_settings.json - โœ“ Windsurf (HTTP transport) - Config: /home/user/.windsurf/mcp_config.json - -Step 6: Configure detected agents -================================================== - -Which agents would you like to configure? - - 1. All detected agents (recommended) - 2. Select individual agents - 3. Skip auto-configuration (manual setup) - -Choose option (1-3): 1 - -Configuring all detected agents... - -HTTP transport required for some agents. -Enter HTTP server port [default: 3000]: -Using port: 3000 - -Configuring Claude Code... - โœ“ Config created - Location: /home/user/.config/claude-code/mcp.json - -Configuring Cursor... - โš  Config file already exists - โœ“ Backup created: /home/user/.cursor/mcp_settings.json.backup.20251223_143022 - โœ“ Merged with existing config - Location: /home/user/.cursor/mcp_settings.json - -Configuring Windsurf... - โœ“ Config created - Location: /home/user/.windsurf/mcp_config.json - -Step 7: HTTP Server Setup -================================================== - -Some configured agents require HTTP transport. -The MCP server needs to run in HTTP mode on port 3000. - -Options: - 1. Start server now (background process) - 2. Show manual start command (start later) - 3. Skip (I'll manage it myself) - -Choose option (1-3): 1 - -Starting HTTP server on port 3000... -โœ“ HTTP server started (PID: 12345) - Health check: http://127.0.0.1:3000/health - Logs: /tmp/skill-seekers-mcp.log - -Note: Server is running in background. To stop: - kill 12345 - -Step 8: Testing Configuration -================================================== - -Configured agents: - โœ“ Claude Code - Config: /home/user/.config/claude-code/mcp.json - โœ“ Valid JSON - โœ“ Cursor - Config: /home/user/.cursor/mcp_settings.json - โœ“ Valid JSON - โœ“ Windsurf - Config: /home/user/.windsurf/mcp_config.json - โœ“ Valid JSON - -======================================================== -Setup Complete! -======================================================== - -Next Steps: - -1. Restart your AI coding agent(s) - (Completely quit and reopen, don't just close window) - -2. Test the integration - Try commands like: - โ€ข List all available configs - โ€ข Generate config for React at https://react.dev - โ€ข Estimate pages for configs/godot.json - -3. HTTP Server - Make sure HTTP server is running on port 3000 - Test with: curl http://127.0.0.1:3000/health - -Happy skill creating! ๐Ÿš€ -``` - -### Example 2: Selective Configuration - -```bash -Step 6: Configure detected agents - -Which agents would you like to configure? - - 1. All detected agents (recommended) - 2. Select individual agents - 3. Skip auto-configuration (manual setup) - -Choose option (1-3): 2 - -Select agents to configure: - Configure Claude Code? (y/n) y - Configure Cursor? (y/n) n - Configure Windsurf? (y/n) y - -Configuring 2 agent(s)... -``` - -### Example 3: No Agents Detected (Manual Config) - -```bash -Step 5: Detecting installed AI coding agents... - -No AI coding agents detected. - -Supported agents: - โ€ข Claude Code (stdio) - โ€ข Cursor (HTTP) - โ€ข Windsurf (HTTP) - โ€ข VS Code + Cline extension (stdio) - โ€ข IntelliJ IDEA (HTTP) - -Manual configuration will be shown at the end. - -[... setup continues ...] - -======================================================== -Setup Complete! -======================================================== - -Manual Configuration Required - -No agents were auto-configured. Here are configuration examples: - -For Claude Code (stdio): -File: ~/.config/claude-code/mcp.json - -{ - "mcpServers": { - "skill-seeker": { - "command": "python3", - "args": [ - "/home/user/Skill_Seekers/src/skill_seekers/mcp/server_fastmcp.py" - ], - "cwd": "/home/user/Skill_Seekers" - } - } -} -``` - -## Testing the Setup - -### 1. Test Agent Detection - -```bash -# Check which agents would be detected -python3 -c " -import sys -sys.path.insert(0, 'src') -from skill_seekers.mcp.agent_detector import AgentDetector -detector = AgentDetector() -agents = detector.detect_agents() -print(f'Detected {len(agents)} agents:') -for agent in agents: - print(f\" - {agent['name']} ({agent['transport']})\") -" -``` - -### 2. Test Config Generation - -```bash -# Generate config for Claude Code -python3 -c " -import sys -sys.path.insert(0, 'src') -from skill_seekers.mcp.agent_detector import AgentDetector -detector = AgentDetector() -config = detector.generate_config('claude-code', 'skill-seekers mcp') -print(config) -" -``` - -### 3. Test HTTP Server - -```bash -# Start server manually -python3 -m skill_seekers.mcp.server_fastmcp --http --port 3000 & - -# Test health endpoint -curl http://localhost:3000/health - -# Expected output: -{ - "status": "healthy", - "server": "skill-seeker-mcp", - "version": "2.1.1", - "transport": "http", - "endpoints": { - "health": "/health", - "sse": "/sse", - "messages": "/messages/" - } -} -``` - -### 4. Test Complete Setup - -```bash -# Run setup script non-interactively (for CI/CD) -# Not yet implemented - requires manual interaction - -# Run setup script manually (recommended) -./setup_mcp.sh - -# Follow prompts and select options -``` - -## Benefits - -### For Users -- โœ… **One-command setup** for multiple agents -- โœ… **Automatic detection** - no manual path finding -- โœ… **Safe configuration** - automatic backups -- โœ… **Smart merging** - preserves existing configs -- โœ… **HTTP server management** - background process with monitoring -- โœ… **Clear instructions** - step-by-step with color coding - -### For Developers -- โœ… **Modular design** - uses agent_detector.py module -- โœ… **Extensible** - easy to add new agents -- โœ… **Testable** - Python logic can be unit tested -- โœ… **Maintainable** - well-structured bash script -- โœ… **Cross-platform** - supports Linux, macOS, Windows - -### For the Project -- โœ… **Competitive advantage** - first MCP server with multi-agent setup -- โœ… **User adoption** - easier onboarding -- โœ… **Reduced support** - fewer manual config issues -- โœ… **Better UX** - professional setup experience -- โœ… **Documentation** - comprehensive guides - -## Migration Guide - -### From Old setup_mcp.sh - -1. **Backup existing configs:** - ```bash - cp ~/.config/claude-code/mcp.json ~/.config/claude-code/mcp.json.manual_backup - ``` - -2. **Run new setup:** - ```bash - ./setup_mcp.sh - ``` - -3. **Choose appropriate option:** - - Option 1: Configure all (recommended) - - Option 2: Select individual agents - - Option 3: Skip (use manual backup) - -4. **Verify configs:** - ```bash - cat ~/.config/claude-code/mcp.json - # Should have skill-seeker server - ``` - -5. **Restart agents:** - - Completely quit and reopen each agent - - Test with "List all available configs" - -### No Breaking Changes - -- โœ… Old manual configs still work -- โœ… Script is backward compatible -- โœ… Existing skill-seeker configs detected -- โœ… User prompted before overwriting -- โœ… Automatic backups prevent data loss - -## Future Enhancements - -### Planned Features -- [ ] **Non-interactive mode** for CI/CD -- [ ] **systemd service** for HTTP server -- [ ] **Config validation** after writing -- [ ] **Agent restart automation** (if possible) -- [ ] **Windows support** testing -- [ ] **More agents** (Zed, Fleet, etc.) - -### Possible Improvements -- [ ] **GUI setup wizard** (optional) -- [ ] **Docker support** for HTTP server -- [ ] **Remote server** configuration -- [ ] **Multi-server** setup (different ports) -- [ ] **Agent health checks** (verify agents can connect) - -## Related Files - -- **setup_mcp.sh** - Main setup script (modified) -- **docs/MULTI_AGENT_SETUP.md** - Comprehensive guide (new) -- **src/skill_seekers/mcp/agent_detector.py** - Agent detection module (existing) -- **docs/HTTP_TRANSPORT.md** - HTTP transport documentation (existing) -- **docs/MCP_SETUP.md** - MCP integration guide (existing) - -## Conclusion - -The rewritten `setup_mcp.sh` script provides a **professional, user-friendly experience** for configuring multiple AI coding agents with the Skill Seeker MCP server. Key highlights: - -- โœ… **Automatic agent detection** saves time and reduces errors -- โœ… **Smart configuration merging** preserves existing setups -- โœ… **HTTP server management** simplifies multi-agent workflows -- โœ… **Comprehensive testing** ensures reliability -- โœ… **Excellent documentation** helps users troubleshoot - -This is a **significant improvement** over the previous manual configuration approach and positions Skill Seekers as a leader in MCP server ease-of-use. diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 0000000..8ac05b3 --- /dev/null +++ b/docs/README.md @@ -0,0 +1,166 @@ +# Skill Seekers Documentation + +Welcome to the Skill Seekers documentation hub. This directory contains comprehensive documentation organized by category. + +## ๐Ÿ“š Quick Navigation + +### ๐Ÿš€ Getting Started + +**New to Skill Seekers?** Start here: +- [Main README](../README.md) - Project overview and installation +- [Quickstart Guide](../QUICKSTART.md) - Fast introduction +- [Bulletproof Quickstart](../BULLETPROOF_QUICKSTART.md) - Beginner-friendly guide +- [Troubleshooting](../TROUBLESHOOTING.md) - Common issues and solutions + +### ๐Ÿ“– User Guides + +Essential guides for setup and daily usage: +- **Setup & Configuration** + - [Setup Quick Reference](guides/SETUP_QUICK_REFERENCE.md) - Quick setup commands + - [MCP Setup](guides/MCP_SETUP.md) - MCP server configuration + - [Multi-Agent Setup](guides/MULTI_AGENT_SETUP.md) - Multi-agent configuration + - [HTTP Transport](guides/HTTP_TRANSPORT.md) - HTTP transport mode setup + +- **Usage Guides** + - [Usage Guide](guides/USAGE.md) - Comprehensive usage instructions + - [Upload Guide](guides/UPLOAD_GUIDE.md) - Uploading skills to platforms + +### โšก Feature Documentation + +Learn about core features and capabilities: + +#### Core Features +- [Pattern Detection (C3.1)](features/PATTERN_DETECTION.md) - Design pattern detection +- [Test Example Extraction (C3.2)](features/TEST_EXAMPLE_EXTRACTION.md) - Extract usage from tests +- [How-To Guides (C3.3)](features/HOW_TO_GUIDES.md) - Auto-generate tutorials +- [Unified Scraping](features/UNIFIED_SCRAPING.md) - Multi-source scraping + +#### AI Enhancement +- [AI Enhancement](features/ENHANCEMENT.md) - AI-powered skill enhancement +- [Enhancement Modes](features/ENHANCEMENT_MODES.md) - Headless, background, daemon modes + +#### PDF Features +- [PDF Scraper](features/PDF_SCRAPER.md) - Extract from PDF documents +- [PDF Advanced Features](features/PDF_ADVANCED_FEATURES.md) - OCR, images, tables +- [PDF Chunking](features/PDF_CHUNKING.md) - Handle large PDFs +- [PDF MCP Tool](features/PDF_MCP_TOOL.md) - MCP integration + +### ๐Ÿ”Œ Platform Integrations + +Multi-LLM platform support: +- [Multi-LLM Support](integrations/MULTI_LLM_SUPPORT.md) - Overview of platform support +- [Gemini Integration](integrations/GEMINI_INTEGRATION.md) - Google Gemini +- [OpenAI Integration](integrations/OPENAI_INTEGRATION.md) - ChatGPT + +### ๐Ÿ“˜ Reference Documentation + +Technical reference and architecture: +- [Feature Matrix](reference/FEATURE_MATRIX.md) - Platform compatibility matrix +- [Git Config Sources](reference/GIT_CONFIG_SOURCES.md) - Config repository management +- [Large Documentation](reference/LARGE_DOCUMENTATION.md) - Handling large docs +- [llms.txt Support](reference/LLMS_TXT_SUPPORT.md) - llms.txt format +- [Skill Architecture](reference/SKILL_ARCHITECTURE.md) - Skill structure +- [AI Skill Standards](reference/AI_SKILL_STANDARDS.md) - Quality standards +- [C3.x Router Architecture](reference/C3_x_Router_Architecture.md) - Router skills +- [Claude Integration](reference/CLAUDE_INTEGRATION.md) - Claude-specific features + +### ๐Ÿ“‹ Planning & Design + +Development plans and designs: +- [Design Plans](plans/) - Feature design documents + +### ๐Ÿ“ฆ Archive + +Historical documentation and completed features: +- [Historical](archive/historical/) - Completed features and reports +- [Research](archive/research/) - Research notes and POCs +- [Temporary](archive/temp/) - Temporary analysis documents + +## ๐Ÿค Contributing + +Want to contribute? See: +- [Contributing Guide](../CONTRIBUTING.md) - Contribution guidelines +- [Roadmap](../ROADMAP.md) - Project roadmap +- [Flexible Roadmap](../FLEXIBLE_ROADMAP.md) - Detailed task list (134 tasks) +- [Future Releases](../FUTURE_RELEASES.md) - Planned features + +## ๐Ÿ“ Changelog + +- [CHANGELOG](../CHANGELOG.md) - Version history and release notes + +## ๐Ÿ’ก Quick Links + +### For Users +- [Installation](../README.md#installation) +- [Quick Start](../QUICKSTART.md) +- [MCP Setup](guides/MCP_SETUP.md) +- [Troubleshooting](../TROUBLESHOOTING.md) + +### For Developers +- [Contributing](../CONTRIBUTING.md) +- [Development Setup](../CONTRIBUTING.md#development-setup) +- [Testing](../CONTRIBUTING.md#running-tests) +- [Architecture](reference/SKILL_ARCHITECTURE.md) + +### API & Tools +- [API Documentation](../api/README.md) +- [MCP Server](../src/skill_seekers/mcp/README.md) +- [Config Repository](../skill-seekers-configs/README.md) + +## ๐Ÿ” Finding What You Need + +### I want to... + +**Get started quickly** +โ†’ [Quickstart Guide](../QUICKSTART.md) or [Bulletproof Quickstart](../BULLETPROOF_QUICKSTART.md) + +**Set up MCP server** +โ†’ [MCP Setup Guide](guides/MCP_SETUP.md) + +**Scrape documentation** +โ†’ [Usage Guide](guides/USAGE.md) โ†’ Documentation Scraping + +**Scrape GitHub repos** +โ†’ [Usage Guide](guides/USAGE.md) โ†’ GitHub Scraping + +**Scrape PDFs** +โ†’ [PDF Scraper](features/PDF_SCRAPER.md) + +**Combine multiple sources** +โ†’ [Unified Scraping](features/UNIFIED_SCRAPING.md) + +**Enhance my skill with AI** +โ†’ [AI Enhancement](features/ENHANCEMENT.md) + +**Upload to Google Gemini** +โ†’ [Gemini Integration](integrations/GEMINI_INTEGRATION.md) + +**Upload to ChatGPT** +โ†’ [OpenAI Integration](integrations/OPENAI_INTEGRATION.md) + +**Understand design patterns** +โ†’ [Pattern Detection](features/PATTERN_DETECTION.md) + +**Extract test examples** +โ†’ [Test Example Extraction](features/TEST_EXAMPLE_EXTRACTION.md) + +**Generate how-to guides** +โ†’ [How-To Guides](features/HOW_TO_GUIDES.md) + +**Fix an issue** +โ†’ [Troubleshooting](../TROUBLESHOOTING.md) + +**Contribute code** +โ†’ [Contributing Guide](../CONTRIBUTING.md) + +## ๐Ÿ“ข Support + +- **Issues**: [GitHub Issues](https://github.com/yusufkaraaslan/Skill_Seekers/issues) +- **Discussions**: [GitHub Discussions](https://github.com/yusufkaraaslan/Skill_Seekers/discussions) +- **Project Board**: [GitHub Projects](https://github.com/users/yusufkaraaslan/projects/2) + +--- + +**Documentation Version**: 2.6.0 +**Last Updated**: 2026-01-13 +**Status**: โœ… Complete & Organized diff --git a/docs/ARCHITECTURE_VERIFICATION_REPORT.md b/docs/archive/historical/ARCHITECTURE_VERIFICATION_REPORT.md similarity index 100% rename from docs/ARCHITECTURE_VERIFICATION_REPORT.md rename to docs/archive/historical/ARCHITECTURE_VERIFICATION_REPORT.md diff --git a/docs/HTTPX_SKILL_GRADING.md b/docs/archive/historical/HTTPX_SKILL_GRADING.md similarity index 100% rename from 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