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14 Commits

Author SHA1 Message Date
yusyus
ec3e0bf491 fix: Resolve 61 critical linting errors 
Fixed priority linting errors to improve code quality:

Critical Fixes:
- F821 (2 errors): Fixed undefined name 'original_result' in config_enhancer.py
- UP035 (2 errors): Removed deprecated typing.Dict and typing.Type imports
- F401 (27 errors): Removed unused imports and added noqa for availability checks
- E722 (19 errors): Replaced bare 'except:' with 'except Exception:'

Code Quality Improvements:
- SIM201 (4 errors): Simplified 'not x == y' to 'x != y'
- SIM118 (2 errors): Removed unnecessary .keys() in dict iterations
- E741 (4 errors): Renamed ambiguous variable 'l' to 'line'
- I001 (1 error): Sorted imports in test_bootstrap_skill.py

All modified areas tested and passing:
- test_scraper_features.py: 42 passed
- test_integration.py: 51 passed
- test_architecture_scenarios.py: 11 passed
- test_real_world_fastmcp.py: 19 passed (1 skipped)

Remaining linting errors: 249 (mostly code style suggestions like ARG002, F841, SIM102)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-01-17 22:54:40 +03:00
Pablo Estevez
c33c6f9073 change max lenght 2026-01-17 17:48:15 +00:00
Pablo Estevez
5ed767ff9a run ruff 2026-01-17 17:29:21 +00:00
yusyus
72dde1ba08 feat: AI enhancement multi-repo support + critical bug fix 
CRITICAL BUG FIX:
- Fixed documentation scraper overwriting list with dict
- Changed self.scraped_data['documentation'] = {...} to .append({...})
- Bug was breaking unified skill builder reference generation

AI ENHANCEMENT UPDATES:
- Added repo_id extraction in utils.py for multi-repo support
- Enhanced grouping by (source, repo_id) tuple in both enhancement files
- Added MULTI-REPOSITORY HANDLING section to AI prompts
- AI now correctly identifies and synthesizes multiple repos

CHANGES:
1. src/skill_seekers/cli/utils.py:
   - _determine_source_metadata() now returns (source, confidence, repo_id)
   - Extracts repo_id from codebase_analysis/{repo_id}/ paths
   - Added repo_id field to reference metadata dict

2. src/skill_seekers/cli/enhance_skill_local.py:
   - Group references by (source_type, repo_id) instead of just source_type
   - Display repo identity in prompt sections
   - Detect multiple repos and add explicit guidance to AI

3. src/skill_seekers/cli/enhance_skill.py:
   - Same grouping and display logic as local enhancement
   - Multi-repository handling section added

4. src/skill_seekers/cli/unified_scraper.py:
   - FIX: Documentation scraper now appends to list instead of overwriting
   - Added source_id, base_url, refs_dir to documentation metadata
   - Update refs_dir after moving to cache

TESTING:
- All 57 tests passing (unified, C3, utilities)
- Single-source verified: httpx comprehensive (219→749 lines after enhancement)
- Multi-source verified: encode/httpx + encode/httpcore (523 lines)
- AI enhancement working: Professional output with source attribution

QUALITY:
- Enhanced httpx SKILL.md: 749 lines, 19KB, A+ quality
- Source attribution working correctly
- Multi-repo synthesis transparent and accurate
- Reference structure clean and organized

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-01-12 22:05:34 +03:00
yusyus
9d26ca5d0a Merge branch 'development' into feature/router-quality-improvements 
Integrated multi-source support from development branch into feature branch's
C3.x auto-cloning and cache system. This merge combines TWO major features:

FEATURE BRANCH (C3.x + Cache):
- Automatic GitHub repository cloning for C3.x analysis
- Hidden .skillseeker-cache/ directory for intermediate files
- Cache reuse for faster rebuilds
- Enhanced AI skill quality improvements

DEVELOPMENT BRANCH (Multi-Source):
- Support multiple sources of same type (multiple GitHub repos, PDFs)
- List-based data storage with source indexing
- New configs: claude-code.json, medusa-mercurjs.json
- llms.txt downloader/parser enhancements
- New tests: test_markdown_parsing.py, test_multi_source.py

CONFLICT RESOLUTIONS:

1. configs/claude-code.json (COMPROMISE):
   - Kept file with _migration_note (preserves PR #244 work)
   - Feature branch had deleted it (config migration)
   - Development branch enhanced it (47 Claude Code doc URLs)

2. src/skill_seekers/cli/unified_scraper.py (INTEGRATED):
   Applied 8 changes for multi-source support:
   - List-based storage: {'github': [], 'documentation': [], 'pdf': []}
   - Source indexing with _source_counters
   - Unique naming: {name}_github_{idx}_{repo_id}
   - Unique data files: github_data_{idx}_{repo_id}.json
   - List append instead of dict assignment
   - Updated _clone_github_repo(repo_name, idx=0) signature
   - Applied same logic to _scrape_pdf()

3. src/skill_seekers/cli/unified_skill_builder.py (INTEGRATED):
   Applied 3 changes for multi-source synthesis:
   - _load_source_skill_mds(): Glob pattern for multiple sources
   - _generate_references(): Iterate through github_list
   - _generate_c3_analysis_references(repo_id): Per-repo C3.x references

TESTING STRATEGY:

Backward Compatibility:
- Single source configs work exactly as before (idx=0)

New Capabilities:
- Multiple GitHub repos: encode/httpx + facebook/react
- Multiple PDFs with unique indexing
- Mixed sources: docs + multiple GitHub repos

Pipeline Integrity:
- Scraper: Multi-source data collection with indexing
- Builder: Loads all source SKILL.md files
- Synthesis: Merges multiple sources with separators
- C3.x: Independent analysis per repo in unique subdirectories

Result: Support MULTIPLE sources per type + C3.x analysis + cache system

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-01-12 00:11:31 +03:00
yusyus
a99e22c639 feat: Multi-Source Synthesis Architecture - Rich Standalone Skills + Smart Combination 
BREAKING CHANGE: Major architectural improvements to multi-source skill generation

This commit implements the complete "Multi-Source Synthesis Architecture" where
each source (documentation, GitHub, PDF) generates a rich standalone SKILL.md
file before being intelligently synthesized with source-specific formulas.

## 🎯 Core Architecture Changes

### 1. Rich Standalone SKILL.md Generation (Source Parity)

Each source now generates comprehensive, production-quality SKILL.md files that
can stand alone OR be synthesized with other sources.

**GitHub Scraper Enhancements** (+263 lines):
- Now generates 300+ line SKILL.md (was ~50 lines)
- Integrates C3.x codebase analysis data:
  - C2.5: API Reference extraction
  - C3.1: Design pattern detection (27 high-confidence patterns)
  - C3.2: Test example extraction (215 examples)
  - C3.7: Architectural pattern analysis
- Enhanced sections:
  - ⚡ Quick Reference with pattern summaries
  - 📝 Code Examples from real repository tests
  - 🔧 API Reference from codebase analysis
  - 🏗️ Architecture Overview with design patterns
  - ⚠️ Known Issues from GitHub issues
- Location: src/skill_seekers/cli/github_scraper.py

**PDF Scraper Enhancements** (+205 lines):
- Now generates 200+ line SKILL.md (was ~50 lines)
- Enhanced content extraction:
  - 📖 Chapter Overview (PDF structure breakdown)
  - 🔑 Key Concepts (extracted from headings)
  - ⚡ Quick Reference (pattern extraction)
  - 📝 Code Examples: Top 15 (was top 5), grouped by language
  - Quality scoring and intelligent truncation
- Better formatting and organization
- Location: src/skill_seekers/cli/pdf_scraper.py

**Result**: All 3 sources (docs, GitHub, PDF) now have equal capability to
generate rich, comprehensive standalone skills.

### 2. File Organization & Caching System

**Problem**: output/ directory cluttered with intermediate files, data, and logs.

**Solution**: New `.skillseeker-cache/` hidden directory for all intermediate files.

**New Structure**:
```
.skillseeker-cache/{skill_name}/
├── sources/          # Standalone SKILL.md from each source
│   ├── httpx_docs/
│   ├── httpx_github/
│   └── httpx_pdf/
├── data/             # Raw scraped data (JSON)
├── repos/            # Cloned GitHub repositories (cached for reuse)
└── logs/             # Session logs with timestamps

output/{skill_name}/  # CLEAN: Only final synthesized skill
├── SKILL.md
└── references/
```

**Benefits**:
- ✅ Clean output/ directory (only final product)
- ✅ Intermediate files preserved for debugging
- ✅ Repository clones cached and reused (faster re-runs)
- ✅ Timestamped logs for each scraping session
- ✅ All cache dirs added to .gitignore

**Changes**:
- .gitignore: Added `.skillseeker-cache/` entry
- unified_scraper.py: Complete reorganization (+238 lines)
  - Added cache directory structure
  - File logging with timestamps
  - Repository cloning with caching/reuse
  - Cleaner intermediate file management
  - Better subprocess logging and error handling

### 3. Config Repository Migration

**Moved to separate config repository**: https://github.com/yusufkaraaslan/skill-seekers-configs

**Deleted from this repo** (35 config files):
- ansible-core.json, astro.json, claude-code.json
- django.json, django_unified.json, fastapi.json, fastapi_unified.json
- godot.json, godot_unified.json, godot_github.json, godot-large-example.json
- react.json, react_unified.json, react_github.json, react_github_example.json
- vue.json, kubernetes.json, laravel.json, tailwind.json, hono.json
- svelte_cli_unified.json, steam-economy-complete.json
- deck_deck_go_local.json, python-tutorial-test.json, example_pdf.json
- test-manual.json, fastapi_unified_test.json, fastmcp_github_example.json
- example-team/ directory (4 files)

**Kept as reference example**:
- configs/httpx_comprehensive.json (complete multi-source example)

**Rationale**:
- Cleaner repository (979+ lines added, 1680 deleted)
- Configs managed separately with versioning
- Official presets available via `fetch-config` command
- Users can maintain private config repos

### 4. AI Enhancement Improvements

**enhance_skill.py** (+125 lines):
- Better integration with multi-source synthesis
- Enhanced prompt generation for synthesized skills
- Improved error handling and logging
- Support for source metadata in enhancement

### 5. Documentation Updates

**CLAUDE.md** (+252 lines):
- Comprehensive project documentation
- Architecture explanations
- Development workflow guidelines
- Testing requirements
- Multi-source synthesis patterns

**SKILL_QUALITY_ANALYSIS.md** (new):
- Quality assessment framework
- Before/after analysis of httpx skill
- Grading rubric for skill quality
- Metrics and benchmarks

### 6. Testing & Validation Scripts

**test_httpx_skill.sh** (new):
- Complete httpx skill generation test
- Multi-source synthesis validation
- Quality metrics verification

**test_httpx_quick.sh** (new):
- Quick validation script
- Subset of features for rapid testing

## 📊 Quality Improvements

| Metric | Before | After | Improvement |
|--------|--------|-------|-------------|
| GitHub SKILL.md lines | ~50 | 300+ | +500% |
| PDF SKILL.md lines | ~50 | 200+ | +300% |
| GitHub C3.x integration | ❌ No | ✅ Yes | New feature |
| PDF pattern extraction | ❌ No | ✅ Yes | New feature |
| File organization | Messy | Clean cache | Major improvement |
| Repository cloning | Always fresh | Cached reuse | Faster re-runs |
| Logging | Console only | Timestamped files | Better debugging |
| Config management | In-repo | Separate repo | Cleaner separation |

## 🧪 Testing

All existing tests pass:
- test_c3_integration.py: Updated for new architecture
- 700+ tests passing
- Multi-source synthesis validated with httpx example

## 🔧 Technical Details

**Modified Core Files**:
1. src/skill_seekers/cli/github_scraper.py (+263 lines)
   - _generate_skill_md(): Rich content with C3.x integration
   - _format_pattern_summary(): Design pattern summaries
   - _format_code_examples(): Test example formatting
   - _format_api_reference(): API reference from codebase
   - _format_architecture(): Architectural pattern analysis

2. src/skill_seekers/cli/pdf_scraper.py (+205 lines)
   - _generate_skill_md(): Enhanced with rich content
   - _format_key_concepts(): Extract concepts from headings
   - _format_patterns_from_content(): Pattern extraction
   - Code examples: Top 15, grouped by language, better quality scoring

3. src/skill_seekers/cli/unified_scraper.py (+238 lines)
   - __init__(): Cache directory structure
   - _setup_logging(): File logging with timestamps
   - _clone_github_repo(): Repository caching system
   - _scrape_documentation(): Move to cache, better logging
   - Better subprocess handling and error reporting

4. src/skill_seekers/cli/enhance_skill.py (+125 lines)
   - Multi-source synthesis awareness
   - Enhanced prompt generation
   - Better error handling

**Minor Updates**:
- src/skill_seekers/cli/codebase_scraper.py (+3 lines): Minor improvements
- src/skill_seekers/cli/test_example_extractor.py: Quality scoring adjustments
- tests/test_c3_integration.py: Test updates for new architecture

## 🚀 Migration Guide

**For users with existing configs**:
No action required - all existing configs continue to work.

**For users wanting official presets**:
```bash
# Fetch from official config repo
skill-seekers fetch-config --name react --target unified

# Or use existing local configs
skill-seekers unified --config configs/httpx_comprehensive.json
```

**Cache directory**:
New `.skillseeker-cache/` directory will be created automatically.
Safe to delete - will be regenerated on next run.

## 📈 Next Steps

This architecture enables:
- ✅ Source parity: All sources generate rich standalone skills
- ✅ Smart synthesis: Each combination has optimal formula
- ✅ Better debugging: Cached files and logs preserved
- ✅ Faster iteration: Repository caching, clean output
- 🔄 Future: Multi-platform enhancement (Gemini, GPT-4) - planned
- 🔄 Future: Conflict detection between sources - planned
- 🔄 Future: Source prioritization rules - planned

## 🎓 Example: httpx Skill Quality

**Before**: 186 lines, basic synthesis, missing data
**After**: 640 lines with AI enhancement, A- (9/10) quality

**What changed**:
- All C3.x analysis data integrated (patterns, tests, API, architecture)
- GitHub metadata included (stars, topics, languages)
- PDF chapter structure visible
- Professional formatting with emojis and clear sections
- Real-world code examples from test suite
- Design patterns explained with confidence scores
- Known issues with impact assessment

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-01-11 23:01:07 +03:00
tsyhahaha
8cf43582a4 feat: support multiple sources of same type in unified scraper 
- Add Markdown file parsing in doc_scraper (_extract_markdown_content, _extract_html_as_markdown)
- Add URL extraction and cleaning in llms_txt_parser (extract_urls, _clean_url)
- Support multiple documentation/github/pdf sources in unified_scraper
- Generate separate reference directories per source in unified_skill_builder
- Skip pages with empty/short content (<50 chars)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-01-05 21:45:36 +08:00
yusyus
9e772351fe feat: C3.5 - Architectural Overview & Skill Integrator 
Implements comprehensive integration of ALL C3.x codebase analysis features
into unified skills, transforming basic GitHub scraping into comprehensive
codebase intelligence with architectural insights.

**What C3.5 Does:**
- Generates comprehensive ARCHITECTURE.md with 8 sections
- Integrates ALL C3.x outputs (patterns, examples, guides, configs, architecture)
- Defaults to ON for GitHub sources with local_repo_path
- Adds --skip-codebase-analysis CLI flag

**ARCHITECTURE.md Sections:**
1. Overview - Project description
2. Architectural Patterns (C3.7) - MVC, MVVM, Clean Architecture, etc.
3. Technology Stack - Frameworks, libraries, languages
4. Design Patterns (C3.1) - Factory, Singleton, Observer, etc.
5. Configuration Overview (C3.4) - Config files with security warnings
6. Common Workflows (C3.3) - How-to guides summary
7. Usage Examples (C3.2) - Test examples statistics
8. Entry Points & Directory Structure - File organization

**Directory Structure:**
output/{name}/references/codebase_analysis/
├── ARCHITECTURE.md (main deliverable)
├── patterns/ (C3.1 design patterns)
├── examples/ (C3.2 test examples)
├── guides/ (C3.3 how-to tutorials)
├── configuration/ (C3.4 config patterns)
└── architecture_details/ (C3.7 architectural patterns)

**Key Features:**
- Default ON: enable_codebase_analysis=true when local_repo_path exists
- CLI flag: --skip-codebase-analysis to disable
- Enhanced SKILL.md with Architecture & Code Analysis summary
- Graceful degradation on C3.x failures
- New config properties: enable_codebase_analysis, ai_mode

**Changes:**
- unified_scraper.py: Added _run_c3_analysis(), modified _scrape_github(), CLI flag
- unified_skill_builder.py: Added 7 methods for C3.x generation + SKILL.md enhancement
- config_validator.py: Added validation for C3.x properties
- Updated 5 configs: react, django, fastapi, godot, svelte-cli
- Added 9 integration tests in test_c3_integration.py
- Updated CHANGELOG.md with complete C3.5 documentation

**Related:**
- Closes #75
- Creates #238 (type: "local" support - separate task)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-01-04 22:03:46 +03:00
Chris Engelhard
9949cdcdca Fix: include docs references in unified skill output (#213) 
* Fix: include docs references in unified skill output

* Fix: quality checker counts nested reference files

* fix(unified): pass through llms_txt_url and skip_llms_txt to doc scraper

* configs: add svelte CLI unified preset (llms.txt + categories)

---------

Co-authored-by: Chris Engelhard <chris@chrisengelhard.nl>
 2026-01-01 19:40:51 +03:00
yusyus
c411eb24ec fix: Add UTF-8 encoding to all file operations for Windows compatibility 
Fixes #209 - UnicodeDecodeError on Windows with non-ASCII characters

**Problem:**
Windows users with non-English locales (Chinese, Japanese, Korean, etc.)
experienced GBK/SHIFT-JIS codec errors when the system default encoding
is not UTF-8.

Error: 'gbk' codec can't decode byte 0xac in position 206: illegal
multibyte sequence

**Root Cause:**
File operations using open() without explicit encoding parameter use
the system default encoding, which on Windows Chinese edition is GBK.
JSON files contain UTF-8 encoded characters that fail to decode with GBK.

**Solution:**
Added encoding='utf-8' to ALL file operations across:
- doc_scraper.py (4 instances):
  * load_config() - line 1310
  * check_existing_data() - line 1416
  * save_checkpoint() - line 173
  * load_checkpoint() - line 186

- github_scraper.py (1 instance):
  * main() config loading - line 922

- unified_scraper.py (10 instances):
  * All JSON read/write operations - lines 134, 153, 205, 239, 275,
    278, 325, 328, 342, 364

**Test Results:**
- ✅ All 612 tests passing (100% pass rate)
- ✅ Backward compatible (UTF-8 is standard on Linux/macOS)
- ✅ Fixes Windows locale issues

**Impact:**
- ✅ Works on ALL Windows locales (Chinese, Japanese, Korean, etc.)
- ✅ Maintains compatibility with Linux/macOS
- ✅ Prevents future encoding issues

**Thanks to:** @my5icol for the detailed bug report and fix suggestion!
 2025-12-28 18:27:50 +03:00
yusyus
65ded6c07c fix: Fix local repo extraction limitations (code analyzer, exclusions, enhancement) 
This commit fixes three critical limitations discovered during local repository skill extraction testing:

**Fix 1: Code Analyzer Import Issue**
- Changed unified_scraper.py to use absolute imports instead of relative imports
- Fixed: `from github_scraper import` → `from skill_seekers.cli.github_scraper import`
- Fixed: `from pdf_scraper import` → `from skill_seekers.cli.pdf_scraper import`
- Result: CodeAnalyzer now available during extraction, deep analysis works

**Fix 2: Unity Library Exclusions**
- Updated should_exclude_dir() to accept and check full directory paths
- Updated _extract_file_tree_local() to pass both dir name and full path
- Added exclusion config passing from unified_scraper to github_scraper
- Result: exclude_dirs_additional now works (297 files excluded in test)

**Fix 3: AI Enhancement for Single Sources**
- Changed read_reference_files() to use rglob() for recursive search
- Now finds reference files in subdirectories (e.g., references/github/README.md)
- Result: AI enhancement works with unified skills that have nested references

**Test Results:**
- Code Analyzer: ✅ Working (deep analysis running)
- Unity Exclusions: ✅ Working (297 files excluded from 679)
- AI Enhancement: ✅ Working (finds and reads nested references)

**Files Changed:**
- src/skill_seekers/cli/unified_scraper.py (Fix 1 & 2)
- src/skill_seekers/cli/github_scraper.py (Fix 2)
- src/skill_seekers/cli/utils.py (Fix 3)

**Test Artifacts:**
- configs/deck_deck_go_local.json (test configuration)
- docs/LOCAL_REPO_TEST_RESULTS.md (comprehensive test report)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2025-12-21 22:24:38 +03:00
Jimmy Moceri
0b2a0d121e feat: Add unlimited local repository analysis and fix 10 critical bugs 
Features:
- Add local_repo_path config parameter for unlimited file analysis
- Auto-exclude virtual environments and build artifacts (95% noise reduction)
- Enable comprehensive codebase analysis (50 → 323 files, 546% increase)

Bug Fixes:
- Fix logger initialization error (Issue #190)
- Fix NoneType subscriptable errors in release tag parsing (3 instances)
- Fix relative import paths causing ModuleNotFoundError
- Fix hardcoded 50-file analysis limit
- Fix GitHub API file tree limitation (140 → 345 files discovered)
- Fix AST parser 'not iterable' errors (95 → 0 parsing failures)
- Fix virtual environment file pollution (23,341 → 1,109 file tree items)
- Fix force_rescrape flag not checked before interactive prompt

Impact:
- Code coverage: 14% → 93.6% (+79.6pp)
- Files analyzed: 50 → 323 (+546%)
- Classes extracted: 55 → 585 (+964%)
- Functions extracted: 512 → 2,784 (+444%)
- AST errors: 95 → 0 (-100%)

Tested on JMo Security repository with 345 Python files.
 2025-11-16 22:35:23 -05:00
yusyus
13ca374295 refactor: Update CLI commands to use new unified entry points 
Updated all command examples in CLI scripts from old pattern:
  python3 cli/<script>.py → skill-seekers <command>

Changes:
- doc_scraper.py → skill-seekers scrape
- github_scraper.py → skill-seekers github
- pdf_scraper.py → skill-seekers pdf
- unified_scraper.py → skill-seekers unified
- enhance_skill.py → skill-seekers enhance
- enhance_skill_local.py → skill-seekers enhance
- package_skill.py → skill-seekers package
- estimate_pages.py → skill-seekers estimate

This reflects the new modern Python packaging with proper entry
points. Users can now use clean commands instead of file paths.

Files updated: 10 CLI scripts

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-07 01:23:17 +03:00
yusyus
ce1c07b437 feat: Add modern Python packaging - Phase 1 (Foundation) 
Implements issue #168 - Modern Python packaging with uv support

This is Phase 1 of the modernization effort, establishing the core
package structure and build system.

## Major Changes

### 1. Migrated to src/ Layout
- Moved cli/ → src/skill_seekers/cli/
- Moved skill_seeker_mcp/ → src/skill_seekers/mcp/
- Created root package: src/skill_seekers/__init__.py
- Updated all imports: cli. → skill_seekers.cli.
- Updated all imports: skill_seeker_mcp. → skill_seekers.mcp.

### 2. Created pyproject.toml
- Modern Python packaging configuration
- All dependencies properly declared
- 8 CLI entry points configured:
  * skill-seekers (unified CLI)
  * skill-seekers-scrape
  * skill-seekers-github
  * skill-seekers-pdf
  * skill-seekers-unified
  * skill-seekers-enhance
  * skill-seekers-package
  * skill-seekers-upload
  * skill-seekers-estimate
- uv tool support enabled
- Build system: setuptools with wheel

### 3. Created Unified CLI (main.py)
- Git-style subcommands (skill-seekers scrape, etc.)
- Delegates to existing tool main() functions
- Full help system at top-level and subcommand level
- Backwards compatible with individual commands

### 4. Updated Package Versions
- cli/__init__.py: 1.3.0 → 2.0.0
- mcp/__init__.py: 1.2.0 → 2.0.0
- Root package: 2.0.0

### 5. Updated Test Suite
- Fixed test_package_structure.py for new layout
- All 28 package structure tests passing
- Updated all test imports for new structure

## Installation Methods (Working)

```bash
# Development install
pip install -e .

# Run unified CLI
skill-seekers --version  # → 2.0.0
skill-seekers --help

# Run individual tools
skill-seekers-scrape --help
skill-seekers-github --help
```

## Test Results
- Package structure tests: 28/28 passing ✅
- Package installs successfully ✅
- All entry points working ✅

## Still TODO (Phase 2)
- [ ] Run full test suite (299 tests)
- [ ] Update documentation (README, CLAUDE.md, etc.)
- [ ] Test with uv tool run/install
- [ ] Build and publish to PyPI
- [ ] Create PR and merge

## Breaking Changes
None - fully backwards compatible. Old import paths still work.

## Migration for Users
No action needed. Package works with both pip and uv.

Closes #168 (when complete)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-07 01:14:24 +03:00