feat: Complete multi-platform feature parity implementation
This commit implements full feature parity across all platforms (Claude, Gemini, OpenAI, Markdown) and all skill modes (Docs, GitHub, PDF, Unified, Local Repo). ## Core Changes ### Phase 1: MCP Package Tool Multi-Platform Support - Added `target` parameter to `package_skill_tool()` in packaging_tools.py - Updated MCP server definition to expose `target` parameter - Platform-specific packaging: ZIP for Claude/OpenAI/Markdown, tar.gz for Gemini - Platform-specific output messages and instructions ### Phase 2: MCP Upload Tool Multi-Platform Support - Added `target` parameter to `upload_skill_tool()` in packaging_tools.py - Added optional `api_key` parameter for API key override - Updated MCP server definition with platform selection - Platform-specific API key validation (ANTHROPIC_API_KEY, GOOGLE_API_KEY, OPENAI_API_KEY) - Graceful handling of Markdown (upload not supported) ### Phase 3: Standalone MCP Enhancement Tool - Created new `enhance_skill_tool()` function (140+ lines) - Supports both 'local' mode (Claude Code Max) and 'api' mode (platform APIs) - Added MCP server definition for `enhance_skill` - Works with Claude, Gemini, and OpenAI - Integrated into MCP tools exports ### Phase 4: Unified Config Splitting Support - Added `is_unified_config()` method to detect multi-source configs - Implemented `split_by_source()` method to split by source type (docs, github, pdf) - Updated auto-detection to recommend 'source' strategy for unified configs - Added 'source' to valid CLI strategy choices - Updated MCP tool documentation for unified support ### Phase 5: Comprehensive Feature Matrix Documentation - Created `docs/FEATURE_MATRIX.md` (~400 lines) - Complete platform comparison tables - Skill mode support matrix - CLI and MCP tool coverage matrices - Platform-specific notes and FAQs - Workflow examples for each combination - Updated README.md with feature matrix section ## Files Modified **Core Implementation:** - src/skill_seekers/mcp/tools/packaging_tools.py - src/skill_seekers/mcp/server_fastmcp.py - src/skill_seekers/mcp/tools/__init__.py - src/skill_seekers/cli/split_config.py - src/skill_seekers/mcp/tools/splitting_tools.py **Documentation:** - docs/FEATURE_MATRIX.md (NEW) - README.md **Tests:** - tests/test_install_multiplatform.py (already existed) ## Test Results - ✅ 699 tests passing - ✅ All multiplatform install tests passing (6/6) - ✅ No regressions introduced - ✅ All syntax checks passed - ✅ Import tests successful ## Breaking Changes None - all changes are backward compatible with default `target='claude'` ## Migration Guide Existing MCP calls without `target` parameter will continue to work (defaults to 'claude'). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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yusyus
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tests/test_install_multiplatform.py
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138
tests/test_install_multiplatform.py
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#!/usr/bin/env python3
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"""
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Tests for multi-platform install workflow
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"""
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import unittest
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from unittest.mock import patch, MagicMock, AsyncMock
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import asyncio
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from pathlib import Path
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class TestInstallCLI(unittest.TestCase):
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"""Test install_skill CLI with multi-platform support"""
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def test_cli_accepts_target_flag(self):
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"""Test that CLI accepts --target flag"""
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import argparse
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import sys
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from pathlib import Path
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# Mock sys.path to import install_skill module
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sys.path.insert(0, str(Path(__file__).parent.parent / "src" / "skill_seekers" / "cli"))
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try:
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# Create parser like install_skill.py does
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parser = argparse.ArgumentParser()
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parser.add_argument("--config", required=True)
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parser.add_argument("--target", choices=['claude', 'gemini', 'openai', 'markdown'], default='claude')
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# Test that each platform is accepted
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for platform in ['claude', 'gemini', 'openai', 'markdown']:
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args = parser.parse_args(['--config', 'test', '--target', platform])
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self.assertEqual(args.target, platform)
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# Test default is claude
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args = parser.parse_args(['--config', 'test'])
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self.assertEqual(args.target, 'claude')
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finally:
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sys.path.pop(0)
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def test_cli_rejects_invalid_target(self):
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"""Test that CLI rejects invalid --target values"""
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("--config", required=True)
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parser.add_argument("--target", choices=['claude', 'gemini', 'openai', 'markdown'], default='claude')
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# Should raise SystemExit for invalid target
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with self.assertRaises(SystemExit):
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parser.parse_args(['--config', 'test', '--target', 'invalid'])
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class TestInstallToolMultiPlatform(unittest.IsolatedAsyncioTestCase):
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"""Test install_skill_tool with multi-platform support"""
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async def test_install_tool_accepts_target_parameter(self):
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"""Test that install_skill_tool accepts target parameter"""
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from skill_seekers.mcp.tools.packaging_tools import install_skill_tool
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# Just test dry_run mode which doesn't need mocking all internal tools
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# Test with each platform
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for target in ['claude', 'gemini', 'openai']:
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# Use dry_run=True which skips actual execution
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# It will still show us the platform is being recognized
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with patch('builtins.open', create=True) as mock_open, \
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patch('json.load') as mock_json_load:
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# Mock config file reading
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mock_json_load.return_value = {'name': 'test-skill'}
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mock_file = MagicMock()
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mock_file.__enter__ = lambda s: s
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mock_file.__exit__ = MagicMock()
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mock_open.return_value = mock_file
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result = await install_skill_tool({
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"config_path": "configs/test.json",
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"target": target,
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"dry_run": True
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})
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# Verify result mentions the correct platform
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result_text = result[0].text
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self.assertIsInstance(result_text, str)
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self.assertIn("WORKFLOW COMPLETE", result_text)
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async def test_install_tool_uses_correct_adaptor(self):
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"""Test that install_skill_tool uses the correct adaptor for each platform"""
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from skill_seekers.mcp.tools.packaging_tools import install_skill_tool
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from skill_seekers.cli.adaptors import get_adaptor
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# Test that each platform creates the right adaptor
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for target in ['claude', 'gemini', 'openai', 'markdown']:
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adaptor = get_adaptor(target)
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self.assertEqual(adaptor.PLATFORM, target)
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async def test_install_tool_platform_specific_api_keys(self):
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"""Test that install_tool checks for correct API key per platform"""
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from skill_seekers.cli.adaptors import get_adaptor
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# Test API key env var names
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claude_adaptor = get_adaptor('claude')
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self.assertEqual(claude_adaptor.get_env_var_name(), 'ANTHROPIC_API_KEY')
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gemini_adaptor = get_adaptor('gemini')
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self.assertEqual(gemini_adaptor.get_env_var_name(), 'GOOGLE_API_KEY')
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openai_adaptor = get_adaptor('openai')
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self.assertEqual(openai_adaptor.get_env_var_name(), 'OPENAI_API_KEY')
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markdown_adaptor = get_adaptor('markdown')
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# Markdown doesn't need an API key, but should still have a method
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self.assertIsNotNone(markdown_adaptor.get_env_var_name())
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class TestInstallWorkflowIntegration(unittest.IsolatedAsyncioTestCase):
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"""Integration tests for full install workflow"""
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async def test_dry_run_shows_correct_platform(self):
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"""Test dry run shows correct platform in output"""
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from skill_seekers.cli.adaptors import get_adaptor
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# Test each platform shows correct platform name
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platforms = {
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'claude': 'Claude AI (Anthropic)',
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'gemini': 'Google Gemini',
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'openai': 'OpenAI ChatGPT',
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'markdown': 'Generic Markdown (Universal)'
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}
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for target, expected_name in platforms.items():
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adaptor = get_adaptor(target)
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self.assertEqual(adaptor.PLATFORM_NAME, expected_name)
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if __name__ == '__main__':
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unittest.main()
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