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chore: Bump version to v2.5.1 - Critical PyPI Bug Fix

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Version Updates:
- pyproject.toml: 2.5.0 → 2.5.1
- src/skill_seekers/__init__.py: 2.0.0 → 2.5.1
- src/skill_seekers/cli/__init__.py: 2.0.0 → 2.5.1
- src/skill_seekers/cli/main.py: 2.4.0 → 2.5.1
- src/skill_seekers/mcp/__init__.py: 2.4.0 → 2.5.1
- src/skill_seekers/mcp/tools/__init__.py: 2.4.0 → 2.5.1

CHANGELOG:
- Added v2.5.1 release notes documenting PR #221 fix
- Critical: Fixed missing skill_seekers.cli.adaptors package
- Impact: Restores all multi-platform features for PyPI users

Documentation:
- Updated CLAUDE.md to v2.5.0 with multi-platform details
- Added platform adaptor architecture documentation
- Updated test architecture and environment variables

Related: PR #221 (merged), Issue #222 (py.typed follow-up)

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

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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2025-12-30 23:22:30 +03:00
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28
CHANGELOG.md
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@@ -17,6 +17,34 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
--- ---
## [2.5.1] - 2025-12-30
### 🐛 Critical Bug Fix - PyPI Package Broken
This **patch release** fixes a critical packaging bug that made v2.5.0 completely unusable for PyPI users.
### Fixed
- **CRITICAL**: Added missing `skill_seekers.cli.adaptors` module to packages list in pyproject.toml ([#221](https://github.com/yusufkaraaslan/Skill_Seekers/pull/221))
- **Issue**: v2.5.0 on PyPI throws `ModuleNotFoundError: No module named 'skill_seekers.cli.adaptors'`
- **Impact**: Broke 100% of multi-platform features (Claude, Gemini, OpenAI, Markdown)
- **Cause**: The adaptors module was missing from the explicit packages list
- **Fix**: Added `skill_seekers.cli.adaptors` to packages in pyproject.toml
- **Credit**: Thanks to [@MiaoDX](https://github.com/MiaoDX) for finding and fixing this issue!
### Package Structure
The `skill_seekers.cli.adaptors` module contains the platform adaptor architecture:
- `base.py` - Abstract base class for all adaptors
- `claude.py` - Claude AI platform implementation
- `gemini.py` - Google Gemini platform implementation
- `openai.py` - OpenAI ChatGPT platform implementation
- `markdown.py` - Generic markdown export
**Note**: v2.5.0 is broken on PyPI. All users should upgrade to v2.5.1 immediately.
---
## [2.5.0] - 2025-12-28 ## [2.5.0] - 2025-12-28
### 🚀 Multi-Platform Feature Parity - 4 LLM Platforms Supported ### 🚀 Multi-Platform Feature Parity - 4 LLM Platforms Supported

307
CLAUDE.md
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@@ -2,21 +2,20 @@
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## 🎯 Current Status (November 30, 2025) ## 🎯 Current Status (December 30, 2025)
**Version:** v2.1.1 (Production Ready - GitHub Analysis Enhanced!) **Version:** v2.5.0 (Production Ready - Multi-Platform Feature Parity!)
**Active Development:** Flexible, incremental task-based approach **Active Development:** Flexible, incremental task-based approach
### Recent Updates (November 2025): ### Recent Updates (December 2025):
**🎉 MAJOR MILESTONE: Published on PyPI! (v2.0.0)** **🎉 MAJOR RELEASE: Multi-Platform Feature Parity (v2.5.0)**
- **📦 PyPI Publication**: Install with `pip install skill-seekers` - https://pypi.org/project/skill-seekers/ - **🌐 4 LLM Platforms**: Claude AI, Google Gemini, OpenAI ChatGPT, Generic Markdown
- **🔧 Modern Python Packaging**: pyproject.toml, src/ layout, entry points - **✅ Complete Feature Parity**: All skill modes work with all platforms
- **✅ CI/CD Fixed**: All 5 test matrix jobs passing (Ubuntu + macOS, Python 3.10-3.12) - **🔧 Platform Adaptors**: Clean architecture with platform-specific implementations
- **📚 Documentation Complete**: README, CHANGELOG, FUTURE_RELEASES.md all updated - **📦 Smart Enhancement**: Platform-specific AI models (Sonnet 4, Gemini 2.0, GPT-4o)
- **🚀 Unified CLI**: Single `skill-seekers` command with Git-style subcommands - **🧪 Test Coverage**: 700+ tests passing across all platforms
- **🧪 Test Coverage**: 427 tests passing (up from 391), 39% coverage - **📚 Unified Workflow**: Same scraping output works for all platforms
- **🌐 Community**: GitHub Discussion, Release notes, announcements published
**🚀 Unified Multi-Source Scraping (v2.0.0)** **🚀 Unified Multi-Source Scraping (v2.0.0)**
- **NEW**: Combine documentation + GitHub + PDF in one skill - **NEW**: Combine documentation + GitHub + PDF in one skill
@@ -40,23 +39,13 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
- 📝 Multi-source configs: django_unified, fastapi_unified, fastapi_unified_test, godot_unified, react_unified - 📝 Multi-source configs: django_unified, fastapi_unified, fastapi_unified_test, godot_unified, react_unified
- 📝 Test/Example configs: godot_github, react_github, python-tutorial-test, example_pdf, test-manual - 📝 Test/Example configs: godot_github, react_github, python-tutorial-test, example_pdf, test-manual
**📋 Completed (November 29, 2025):** **📋 Recent Completions (December 2025):**
- **✅ DONE**: PyPI publication complete (v2.0.0) - **✅ DONE**: Multi-platform support (v2.5.0) - 4 LLM platforms
- **✅ DONE**: CI/CD fixed - all checks passing - **✅ DONE**: Platform adaptor architecture with clean separation
- **✅ DONE**: Documentation updated (README, CHANGELOG, FUTURE_RELEASES.md) - **✅ DONE**: Enhanced MCP tools with platform support (18 tools)
- **✅ DONE**: Quality Assurance + Race Condition Fixes (v2.1.0) - **✅ DONE**: Multi-platform CLI commands (package, upload, enhance)
- **✅ DONE**: All critical bugs fixed (Issues #190, #192, #193) - **✅ DONE**: Test suite expanded to 700+ tests
- **✅ DONE**: Test suite stabilized (427 tests passing) - **✅ DONE**: Complete feature parity across all platforms
- **✅ DONE**: Unified tests fixed (all 22 passing)
- **✅ DONE**: PR #195 merged - Unlimited local repository analysis
- **✅ DONE**: PR #198 merged - Skip llms.txt config option
- **✅ DONE**: Issue #203 - Configurable EXCLUDED_DIRS (19 tests, 2 commits)
**📋 Next Up (Post-v2.1.0):**
- **Priority 1**: Review open PRs (#187, #186)
- **Priority 2**: Issue #202 - Add warning for missing local_repo_path
- **Priority 3**: Task H1.3 - Create example project folder
- **Priority 4**: Task A3.1 - GitHub Pages site (skillseekersweb.com)
**📊 Roadmap Progress:** **📊 Roadmap Progress:**
- 134 tasks organized into 22 feature groups - 134 tasks organized into 22 feature groups
@@ -67,21 +56,33 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
## 🔌 MCP Integration Available ## 🔌 MCP Integration Available
**This repository includes a fully tested MCP server with 10 tools:** **This repository includes a fully tested MCP server with 18 tools supporting 4 LLM platforms:**
- `mcp__skill-seeker__list_configs` - List all available preset configurations
- `mcp__skill-seeker__generate_config` - Generate a new config file for any docs site **Core Tools (9):**
- `mcp__skill-seeker__validate_config` - Validate a config file structure - `list_configs` - List all available preset configurations
- `mcp__skill-seeker__estimate_pages` - Estimate page count before scraping - `generate_config` - Generate new config for any docs site
- `mcp__skill-seeker__scrape_docs` - Scrape and build a skill - `validate_config` - Validate config file structure
- `mcp__skill-seeker__package_skill` - Package skill into .zip file (with auto-upload) - `estimate_pages` - Estimate page count before scraping
- `mcp__skill-seeker__upload_skill` - Upload .zip to Claude - `scrape_docs` - Scrape and build a skill
- `mcp__skill-seeker__install_skill` - **NEW!** Complete one-command workflow (fetch → scrape → enhance → package → upload) - `package_skill` - Package skill (supports --target: claude, gemini, openai, markdown)
- `mcp__skill-seeker__split_config` - Split large documentation configs - `upload_skill` - Upload to LLM platform (supports --target: claude, gemini, openai)
- `mcp__skill-seeker__generate_router` - Generate router/hub skills - `enhance_skill` - **NEW!** AI enhancement with platform support
- `install_skill` - Complete workflow (fetch → scrape → enhance → package → upload)
**Extended Tools (9):**
- `scrape_github` - Scrape GitHub repositories
- `scrape_pdf` - Extract from PDFs
- `unified_scrape` - Multi-source scraping
- `merge_sources` - Merge docs + code
- `detect_conflicts` - Find discrepancies
- `split_config` - Split large configs
- `generate_router` - Generate router skills
- `add_config_source` - Register git repos
- `fetch_config` - Fetch from git
**Setup:** See [docs/MCP_SETUP.md](docs/MCP_SETUP.md) or run `./setup_mcp.sh` **Setup:** See [docs/MCP_SETUP.md](docs/MCP_SETUP.md) or run `./setup_mcp.sh`
**Status:** ✅ Tested and working in production with Claude Code **Status:** ✅ Tested with 5 AI agents (Claude Code, Cursor, Windsurf, VS Code + Cline, IntelliJ IDEA)
## Overview ## Overview
@@ -134,6 +135,24 @@ export ANTHROPIC_API_KEY=sk-ant-...
## Core Commands ## Core Commands
### Multi-Platform Support (NEW in v2.5.0)
```bash
# Package for different LLM platforms
skill-seekers package output/react/ --target claude # Default
skill-seekers package output/react/ --target gemini
skill-seekers package output/react/ --target openai
skill-seekers package output/react/ --target markdown
# Upload to platform
skill-seekers upload react-gemini.tar.gz --target gemini
skill-seekers upload react-openai.zip --target openai
# AI enhancement with platform-specific models
skill-seekers enhance output/react/ --target gemini --mode api
skill-seekers enhance output/react/ --target openai --mode api
```
### Quick Start - Use a Preset ### Quick Start - Use a Preset
```bash ```bash
@@ -382,7 +401,7 @@ skill-seekers estimate configs/vue.json --max-discovery 2000
## Repository Architecture ## Repository Architecture
### File Structure (v2.0.0 - Modern Python Packaging) ### File Structure (v2.5.0 - Multi-Platform Architecture)
``` ```
Skill_Seekers/ Skill_Seekers/
@@ -391,25 +410,38 @@ Skill_Seekers/
│ └── skill_seekers/ │ └── skill_seekers/
│ ├── __init__.py │ ├── __init__.py
│ ├── cli/ # CLI tools (entry points) │ ├── cli/ # CLI tools (entry points)
│ │ ├── main.py # Unified CLI dispatcher (Git-style)
│ │ ├── doc_scraper.py # Main scraper (~790 lines) │ │ ├── doc_scraper.py # Main scraper (~790 lines)
│ │ ├── estimate_pages.py # Page count estimator │ │ ├── estimate_pages.py # Page count estimator
│ │ ├── enhance_skill.py # AI enhancement (API-based) │ │ ├── enhance_skill_local.py # AI enhancement (local)
│ │ ├── package_skill.py # Skill packager │ │ ├── package_skill.py # Skill packager
│ │ ├── upload_skill.py # Upload to platforms
│ │ ├── install_skill.py # Complete workflow automation
│ │ ├── install_agent.py # Install to AI agent directories
│ │ ├── github_scraper.py # GitHub scraper │ │ ├── github_scraper.py # GitHub scraper
│ │ ├── pdf_scraper.py # PDF scraper │ │ ├── pdf_scraper.py # PDF scraper
│ │ ├── unified_scraper.py # Unified multi-source scraper │ │ ├── unified_scraper.py # Unified multi-source scraper
│ │ ├── merge_sources.py # Source merger │ │ ├── merge_sources.py # Source merger
│ │ └── conflict_detector.py # Conflict detection │ │ ├── conflict_detector.py # Conflict detection
│ │ └── adaptors/ # Platform adaptor architecture
│ │ ├── __init__.py # Factory: get_adaptor(target)
│ │ ├── base_adaptor.py # Abstract base class
│ │ ├── claude_adaptor.py # Claude AI implementation
│ │ ├── gemini_adaptor.py # Google Gemini implementation
│ │ ├── openai_adaptor.py # OpenAI ChatGPT implementation
│ │ └── markdown_adaptor.py # Generic Markdown export
│ └── mcp/ # MCP server integration │ └── mcp/ # MCP server integration
│ └── server.py │ ├── server.py # FastMCP-based server (stdio + HTTP)
├── tests/ # Test suite (391 tests passing) │ └── tools/ # MCP tool implementations
├── tests/ # Test suite (700+ tests passing)
│ ├── test_scraper_features.py │ ├── test_scraper_features.py
│ ├── test_config_validation.py │ ├── test_config_validation.py
│ ├── test_integration.py │ ├── test_integration.py
│ ├── test_mcp_server.py │ ├── test_mcp_server.py
│ ├── test_unified.py # Unified scraping tests (18 tests) │ ├── test_mcp_fastmcp.py # FastMCP framework tests
│ ├── test_unified_mcp_integration.py # (4 tests) │ ├── test_unified.py # Unified scraping tests
│ └── ... │ ├── test_install_multiplatform.py # Multi-platform tests
│ └── ... (40+ test files)
├── configs/ # Preset configurations (24 configs) ├── configs/ # Preset configurations (24 configs)
│ ├── godot.json │ ├── godot.json
│ ├── react.json │ ├── react.json
@@ -439,11 +471,57 @@ Skill_Seekers/
└── assets/ # Empty (user assets) └── assets/ # Empty (user assets)
``` ```
**Key Changes in v2.0.0:** **Key Changes in v2.5.0:**
- **Platform Adaptor Architecture**: Clean separation for Claude, Gemini, OpenAI, Markdown
- **Multi-platform CLI**: `--target` flag on package/upload/enhance commands
- **18 MCP Tools**: Extended from 9 to 18 tools with platform support
- **src/ layout**: Modern Python packaging structure - **src/ layout**: Modern Python packaging structure
- **pyproject.toml**: PEP 621 compliant configuration - **pyproject.toml**: PEP 621 compliant with optional platform dependencies
- **Entry points**: `skill-seekers` CLI with subcommands - **Entry points**: `skill-seekers` CLI with Git-style subcommands
- **Published to PyPI**: `pip install skill-seekers` - **Published to PyPI**: `pip install skill-seekers` + platform extras
### Platform Adaptor Architecture (NEW in v2.5.0)
**Design Pattern:** Strategy pattern with factory method for platform-specific implementations
**Key Components:**
- **BaseAdaptor** (`src/skill_seekers/cli/adaptors/base_adaptor.py`): Abstract base class defining interface
- `package(skill_dir, output_path)` - Package skill in platform-specific format
- `upload(package_path, api_key)` - Upload to platform API
- `enhance(skill_dir, mode)` - AI enhancement using platform-specific model
- **Factory Function** (`src/skill_seekers/cli/adaptors/__init__.py`):
- `get_adaptor(target: str) -> BaseAdaptor` - Returns appropriate adaptor instance
- Validates target and returns ClaudeAdaptor, GeminiAdaptor, OpenAIAdaptor, or MarkdownAdaptor
- **Platform-Specific Implementations:**
- **ClaudeAdaptor**: ZIP + YAML frontmatter, Anthropic Skills API, Sonnet 4 enhancement
- **GeminiAdaptor**: tar.gz, Google Files API + Grounding, Gemini 2.0 Flash enhancement
- **OpenAIAdaptor**: ZIP + Assistant instructions, Assistants API + Vector Store, GPT-4o enhancement
- **MarkdownAdaptor**: ZIP with pure markdown, manual upload, no enhancement
**Usage Pattern:**
```python
from skill_seekers.cli.adaptors import get_adaptor
# Get platform-specific adaptor
adaptor = get_adaptor('gemini') # or 'claude', 'openai', 'markdown'
# Package skill in platform format
adaptor.package(skill_dir='output/react/', output_path='output/')
# Upload to platform (if supported)
adaptor.upload(package_path='output/react-gemini.tar.gz', api_key=os.getenv('GOOGLE_API_KEY'))
# AI enhancement with platform-specific model
adaptor.enhance(skill_dir='output/react/', mode='api')
```
**Benefits:**
- ✅ Single codebase supports 4 platforms
- ✅ Platform-specific optimizations (format, APIs, models)
- ✅ Easy to add new platforms (implement BaseAdaptor)
- ✅ Clean separation of concerns
### Data Flow ### Data Flow
@@ -457,20 +535,21 @@ Skill_Seekers/
- Process: Load pages → Smart categorize → Extract patterns → Generate references - Process: Load pages → Smart categorize → Extract patterns → Generate references
- Output: `output/{name}/SKILL.md` + `output/{name}/references/*.md` - Output: `output/{name}/SKILL.md` + `output/{name}/references/*.md`
3. **Enhancement Phase** (optional via enhance_skill.py or enhance_skill_local.py): 3. **Enhancement Phase** (optional, platform-aware via adaptors):
- Input: Built skill directory with references - Input: Built skill directory with references
- Process: Claude analyzes references and rewrites SKILL.md - Process: Platform-specific LLM analyzes references and rewrites SKILL.md
- Output: Enhanced SKILL.md with real examples and guidance - Output: Enhanced SKILL.md with real examples and guidance
- Models: Claude Sonnet 4, Gemini 2.0 Flash, or GPT-4o (depending on target)
4. **Package Phase** (via package_skill.py): 4. **Package Phase** (platform-aware via adaptors):
- Input: Skill directory - Input: Skill directory + target platform
- Process: Zip all files (excluding .backup) - Process: Platform adaptor packages in appropriate format
- Output: `{name}.zip` - Output: `{name}.zip`, `{name}-gemini.tar.gz`, `{name}-openai.zip`, or `{name}-markdown.zip`
5. **Upload Phase** (optional via upload_skill.py): 5. **Upload Phase** (optional, platform-aware via adaptors):
- Input: Skill .zip file - Input: Platform-specific package + API key
- Process: Upload to Claude AI via API - Process: Upload via platform API (Anthropic Skills, Google Files, OpenAI Assistants)
- Output: Skill available in Claude - Output: Skill available in target LLM platform
### Configuration File Structure ### Configuration File Structure
@@ -926,27 +1005,106 @@ The correct command uses the local `cli/package_skill.py` in the repository root
**Development Workflow:** **Development Workflow:**
1. **Install**: `pip install -e .` (editable mode for development) 1. **Install**: `pip install -e .` (editable mode for development)
```bash
# Install with all platform dependencies
pip install -e ".[all-llms]"
# Or install specific platforms
pip install -e ".[gemini]" # Google Gemini support
pip install -e ".[openai]" # OpenAI ChatGPT support
```
2. **Run tests**: 2. **Run tests**:
- All tests: `pytest tests/ -v` ```bash
- Specific test file: `pytest tests/test_scraper_features.py -v` # All tests
- With coverage: `pytest tests/ --cov=src/skill_seekers --cov-report=term --cov-report=html` pytest tests/ -v
- Single test: `pytest tests/test_scraper_features.py::test_detect_language -v`
3. **Build package**: `uv build` or `python -m build` # Specific test file
4. **Publish**: `uv publish` (PyPI) pytest tests/test_scraper_features.py -v
5. **Run single config test**: `skill-seekers scrape --config configs/react.json --dry-run`
# Multi-platform tests
pytest tests/test_install_multiplatform.py -v
# With coverage
pytest tests/ --cov=src/skill_seekers --cov-report=term --cov-report=html
# Single test
pytest tests/test_scraper_features.py::test_detect_language -v
# MCP server tests
pytest tests/test_mcp_fastmcp.py -v
```
3. **Build package**:
```bash
# Using uv (recommended)
uv build
# Or using build
python -m build
```
4. **Publish**:
```bash
# To PyPI
uv publish
# Or using twine
python -m twine upload dist/*
```
5. **Test CLI commands**:
```bash
# Test scraping (dry run)
skill-seekers scrape --config configs/react.json --dry-run
# Test multi-platform packaging
skill-seekers package output/react/ --target gemini --dry-run
# Test MCP server (stdio mode)
python -m skill_seekers.mcp.server
# Test MCP server (HTTP mode)
python -m skill_seekers.mcp.server --transport http --port 8765
```
**Test Architecture:** **Test Architecture:**
- **Test files**: 27 test files covering all features (see `tests/` directory) - **Test files**: 40+ test files covering all features (see `tests/` directory)
- **CI Matrix**: Tests run on Ubuntu + macOS with Python 3.10, 3.11, 3.12 - **CI Matrix**: Tests run on Ubuntu + macOS with Python 3.10, 3.11, 3.12, 3.13
- **Coverage**: 39% code coverage (427 tests passing) - **Coverage**: 700+ tests passing across all platforms
- **Key test categories**: - **Key test categories**:
- `test_scraper_features.py` - Core scraping functionality - `test_scraper_features.py` - Core scraping functionality
- `test_mcp_server.py` - MCP integration (9 tools) - `test_mcp_server.py` - MCP integration (18 tools)
- `test_unified.py` - Multi-source scraping (18 tests) - `test_mcp_fastmcp.py` - FastMCP framework and HTTP transport
- `test_unified.py` - Multi-source scraping
- `test_github_scraper.py` - GitHub repository analysis - `test_github_scraper.py` - GitHub repository analysis
- `test_pdf_scraper.py` - PDF extraction - `test_pdf_scraper.py` - PDF extraction
- `test_install_multiplatform.py` - **NEW** Multi-platform packaging and upload
- `test_integration.py` - End-to-end workflows - `test_integration.py` - End-to-end workflows
- `test_install_skill.py` - One-command install workflow
- `test_install_agent.py` - AI agent installation
- **IMPORTANT**: Must run `pip install -e .` before tests (src/ layout requirement) - **IMPORTANT**: Must run `pip install -e .` before tests (src/ layout requirement)
- **Platform Tests**: Each platform adaptor has dedicated test coverage
**Environment Variables & API Keys:**
```bash
# Claude AI (default platform)
export ANTHROPIC_API_KEY=sk-ant-...
# Google Gemini (optional)
export GOOGLE_API_KEY=AIza...
# OpenAI ChatGPT (optional)
export OPENAI_API_KEY=sk-...
# GitHub (for higher rate limits in repo scraping)
export GITHUB_TOKEN=ghp_...
# Private config repositories (optional)
export GITLAB_TOKEN=glpat-...
export GITEA_TOKEN=...
export BITBUCKET_TOKEN=...
```
**Key Points:** **Key Points:**
- Output is cached and reusable in `output/` (git-ignored) - Output is cached and reusable in `output/` (git-ignored)
@@ -954,3 +1112,4 @@ The correct command uses the local `cli/package_skill.py` in the repository root
- All 24 configs are working and tested - All 24 configs are working and tested
- CI workflow requires `pip install -e .` to install package before running tests - CI workflow requires `pip install -e .` to install package before running tests
- Never skip tests - all tests must pass before commits (per user instructions) - Never skip tests - all tests must pass before commits (per user instructions)
- Platform-specific dependencies are optional: use `pip install skill-seekers[gemini]` or `pip install skill-seekers[openai]` as needed

2
pyproject.toml
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project] [project]
name = "skill-seekers" name = "skill-seekers"
version = "2.5.0" version = "2.5.1"
description = "Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills" description = "Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills"
readme = "README.md" readme = "README.md"
requires-python = ">=3.10" requires-python = ">=3.10"

2
src/skill_seekers/__init__.py
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@@ -5,7 +5,7 @@ This package provides tools for automatically scraping, organizing, and packagin
documentation from various sources into uploadable Claude AI skills. documentation from various sources into uploadable Claude AI skills.
""" """
__version__ = "2.0.0" __version__ = "2.5.1"
__author__ = "Yusuf Karaaslan" __author__ = "Yusuf Karaaslan"
__license__ = "MIT" __license__ = "MIT"

2
src/skill_seekers/cli/__init__.py
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@@ -28,7 +28,7 @@ except ImportError:
open_folder = None open_folder = None
read_reference_files = None read_reference_files = None
__version__ = "2.0.0" __version__ = "2.5.1"
__all__ = [ __all__ = [
"LlmsTxtDetector", "LlmsTxtDetector",

2
src/skill_seekers/cli/main.py
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@@ -62,7 +62,7 @@ For more information: https://github.com/yusufkaraaslan/Skill_Seekers
parser.add_argument( parser.add_argument(
"--version", "--version",
action="version", action="version",
version="%(prog)s 2.4.0" version="%(prog)s 2.5.1"
) )
subparsers = parser.add_subparsers( subparsers = parser.add_subparsers(

2
src/skill_seekers/mcp/__init__.py
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@@ -28,6 +28,6 @@ Usage:
in ~/.config/claude-code/mcp.json in ~/.config/claude-code/mcp.json
""" """
__version__ = "2.4.0" __version__ = "2.5.1"
__all__ = ["agent_detector"] __all__ = ["agent_detector"]

2
src/skill_seekers/mcp/tools/__init__.py
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@@ -11,7 +11,7 @@ Tools are organized by functionality:
- source_tools: Config source management (fetch, submit, add/remove sources) - source_tools: Config source management (fetch, submit, add/remove sources)
""" """
__version__ = "2.4.0" __version__ = "2.5.1"
from .config_tools import ( from .config_tools import (
generate_config as generate_config_impl, generate_config as generate_config_impl,