main
7 Commits
| Author | SHA1 | Message | Date | |
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yusyus
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6d37e43b83 |
feat: Grand Unification — one command, one interface, direct converters (#346)
* fix: resolve 8 pipeline bugs found during skill quality review - Fix 0 APIs extracted from documentation by enriching summary.json with individual page file content before conflict detection - Fix all "Unknown" entries in merged_api.md by injecting dict keys as API names and falling back to AI merger field names - Fix frontmatter using raw slugs instead of config name by normalizing frontmatter after SKILL.md generation - Fix leaked absolute filesystem paths in patterns/index.md by stripping .skillseeker-cache repo clone prefixes - Fix ARCHITECTURE.md file count always showing "1 files" by counting files per language from code_analysis data - Fix YAML parse errors on GitHub Actions workflows by converting boolean keys (on: true) to strings - Fix false React/Vue.js framework detection in C# projects by filtering web frameworks based on primary language - Improve how-to guide generation by broadening workflow example filter to include setup/config examples with sufficient complexity - Fix test_git_sources_e2e failures caused by git init default branch being 'main' instead of 'master' Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address 6 review issues in ExecutionContext implementation Fixes from code review: 1. Mode resolution (#3 critical): _args_to_data no longer unconditionally overwrites mode. Only writes mode="api" when --api-key explicitly passed. Env-var-based mode detection moved to _default_data() as lowest priority. 2. Re-initialization warning (#4): initialize() now logs debug message when called a second time instead of silently returning stale instance. 3. _raw_args preserved in override (#5): temp context now copies _raw_args from parent so get_raw() works correctly inside override blocks. 4. test_local_mode_detection env cleanup (#7): test now saves/restores API key env vars to prevent failures when ANTHROPIC_API_KEY is set. 5. _load_config_file error handling (#8): wraps FileNotFoundError and JSONDecodeError with user-friendly ValueError messages. 6. Lint fixes: added logging import, fixed Generator import from collections.abc, fixed AgentClient return type annotation. Remaining P2/P3 items (documented, not blocking): - Lock TOCTOU in override() — safe on CPython, needs fix for no-GIL - get() reads _instance without lock — same CPython caveat - config_path not stored on instance - AnalysisSettings.depth not Literal constrained Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address all remaining P2/P3 review issues in ExecutionContext 1. Thread safety: get() now acquires _lock before reading _instance (#2) 2. Thread safety: override() saves/restores _initialized flag to prevent re-init during override blocks (#10) 3. Config path stored: _config_path PrivateAttr + config_path property (#6) 4. Literal validation: AnalysisSettings.depth now uses Literal["surface", "deep", "full"] — rejects invalid values (#9) 5. Test updated: test_analysis_depth_choices now expects ValidationError for invalid depth, added test_analysis_depth_valid_choices 6. Lint cleanup: removed unused imports, fixed whitespace in tests All 10 previously reported issues now resolved. 26 tests pass, lint clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: restore 5 truncated scrapers, migrate unified_scraper, fix context init 5 scrapers had main() truncated with "# Original main continues here..." after Kimi's migration — business logic was never connected: - html_scraper.py — restored HtmlToSkillConverter extraction + build - pptx_scraper.py — restored PptxToSkillConverter extraction + build - confluence_scraper.py — restored ConfluenceToSkillConverter with 3 modes - notion_scraper.py — restored NotionToSkillConverter with 4 sources - chat_scraper.py — restored ChatToSkillConverter extraction + build unified_scraper.py — migrated main() to context-first pattern with argv fallback Fixed context initialization chain: - main.py no longer initializes ExecutionContext (was stealing init from commands) - create_command.py now passes config_path from source_info.parsed - execution_context.py handles SourceInfo.raw_input (not raw_source) All 18 scrapers now genuinely migrated. 26 tests pass, lint clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve 7 data flow conflicts between ExecutionContext and legacy paths Critical fixes (CLI args silently lost): - unified_scraper Phase 6: reads ctx.enhancement.level instead of raw JSON when args=None (#3, #4) - unified_scraper Phase 6 agent: reads ctx.enhancement.agent instead of 3 independent env var lookups (#5) - doc_scraper._run_enhancement: uses agent_client.api_key instead of raw os.environ.get() — respects config file api_key (#1) Important fixes: - main._handle_analyze_command: populates _fake_args from ExecutionContext so --agent and --api-key aren't lost in analyze→enhance path (#6) - doc_scraper type annotations: replaced forward refs with Any to avoid F821 undefined name errors All changes include RuntimeError fallback for backward compatibility when ExecutionContext isn't initialized. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: 3 crashes + 1 stub in migrated scrapers found by deep scan 1. github_scraper.py: args.scrape_only and args.enhance_level crash when args=None (context path). Guarded with if args and getattr(). Also fixed agent fallback to read ctx.enhancement.agent. 2. codebase_scraper.py: args.output and args.skip_api_reference crash in summary block when args=None. Replaced with output_dir local var and ctx.analysis.skip_api_reference. 3. epub_scraper.py: main() was still a stub ending with "# Rest of main() continues..." — restored full extraction + build + enhancement logic using ctx values exclusively. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: complete ExecutionContext migration for remaining scrapers Kimi's Phase 4 scraper migrations + Claude's review fixes. All 18 scrapers now use context-first pattern with argv fallback. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Phase 1 — ExecutionContext.get() always returns context (no RuntimeError) get() now returns a default context instead of raising RuntimeError when not explicitly initialized. This eliminates the need for try/except RuntimeError blocks in all 18 scrapers. Components can always call ExecutionContext.get() safely — it returns defaults if not initialized, or the explicitly initialized instance. Updated tests: test_get_returns_defaults_when_not_initialized, test_reset_clears_instance (no longer expects RuntimeError). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Phase 2a-c — remove 16 individual scraper CLI commands Removed individual scraper commands from: - COMMAND_MODULES in main.py (16 entries: scrape, github, pdf, word, epub, video, jupyter, html, openapi, asciidoc, pptx, rss, manpage, confluence, notion, chat) - pyproject.toml entry points (16 skill-seekers-<type> binaries) - parsers/__init__.py (16 parser registrations) All source types now accessed via: skill-seekers create <source> Kept: create, unified, analyze, enhance, package, upload, install, install-agent, config, doctor, and utility commands. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: create SkillConverter base class + converter registry New base interface that all 17 converters will inherit: - SkillConverter.run() — extract + build (same call for all types) - SkillConverter.extract() — override in subclass - SkillConverter.build_skill() — override in subclass - get_converter(source_type, config) — factory from registry - CONVERTER_REGISTRY — maps source type → (module, class) create_command will use get_converter() instead of _call_module(). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Grand Unification — one command, one interface, direct converters Complete the Grand Unification refactor: `skill-seekers create` is now the single entry point for all 18 source types. Individual scraper CLI commands (scrape, github, pdf, analyze, unified, etc.) are removed. ## Architecture changes - **18 SkillConverter subclasses**: Every scraper now inherits SkillConverter with extract() + build_skill() + SOURCE_TYPE. Factory via get_converter(). - **create_command.py rewritten**: _build_config() constructs config dicts from ExecutionContext for each source type. Direct converter.run() calls replace the old _build_argv() + sys.argv swap + _call_module() machinery. - **main.py simplified**: create command bypasses _reconstruct_argv entirely, calls CreateCommand(args).execute() directly. analyze/unified commands removed (create handles both via auto-detection). - **CreateParser mode="all"**: Top-level parser now accepts all 120+ flags (--browser, --max-pages, --depth, etc.) since create is the only entry. - **Centralized enhancement**: Runs once in create_command after converter, not duplicated in each scraper. - **MCP tools use converters**: 5 scraping tools call get_converter() directly instead of subprocess. Config type auto-detected from keys. - **ConfigValidator → UniSkillConfigValidator**: Renamed with backward- compat alias. - **Data flow**: AgentClient + LocalSkillEnhancer read ExecutionContext first, env vars as fallback. ## What was removed - main() from all 18 scraper files (~3400 lines) - 18 CLI commands from COMMAND_MODULES + pyproject.toml entry points - analyze + unified parsers from parser registry - _build_argv, _call_module, _SKIP_ARGS, _DEST_TO_FLAG, all _route_*() - setup_argument_parser, get_configuration, _check_deprecated_flags - Tests referencing removed commands/functions ## Net impact 51 files changed, ~6000 lines removed. 2996 tests pass, 0 failures. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: review fixes for Grand Unification PR - Add autouse conftest fixture to reset ExecutionContext singleton between tests - Replace hardcoded defaults in _is_explicitly_set() with parser-derived defaults - Upgrade ExecutionContext double-init log from debug to info - Use logger.exception() in SkillConverter.run() to preserve tracebacks - Fix docstring "17 types" → "18 types" in skill_converter.py - DRY up 10 copy-paste help handlers into dict + loop (~100 lines removed) - Fix 2 CI workflows still referencing removed `skill-seekers scrape` command - Remove broken pyproject.toml entry point for codebase_scraper:main Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve 12 logic/flow issues found in deep review Critical fixes: - UnifiedScraper.run(): replace sys.exit(1) with return 1, add return 0 - doc_scraper: use ExecutionContext.get() when already initialized instead of re-calling initialize() which silently discards new config - unified_scraper: define enhancement_config before try/except to prevent UnboundLocalError in LOCAL enhancement timeout read Important fixes: - override(): cleaner tuple save/restore for singleton swap - --agent without --api-key now sets mode="local" so env API key doesn't override explicit agent choice - Remove DeprecationWarning from _reconstruct_argv (fires on every non-create command in production) - Rewrite scrape_generic_tool to use get_converter() instead of subprocess calls to removed main() functions - SkillConverter.run() checks build_skill() return value, returns 1 if False - estimate_pages_tool uses -m module invocation instead of .py file path Low-priority fixes: - get_converter() raises descriptive ValueError on class name typo - test_default_values: save/clear API key env vars before asserting mode - test_get_converter_pdf: fix config key "path" → "pdf_path" 3056 passed, 4 failed (pre-existing dep version issues), 32 skipped. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: update MCP server tests to mock converter instead of subprocess scrape_docs_tool now uses get_converter() + _run_converter() in-process instead of run_subprocess_with_streaming. Update 4 TestScrapeDocsTool tests to mock the converter layer instead of the removed subprocess path. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: YusufKaraaslanSpyke <yusuf@spykegames.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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yusyus
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ba9a8ff8b5 |
docs: complete documentation overhaul with v3.1.0 release notes and zh-CN translations
Documentation restructure: - New docs/getting-started/ guide (4 files: install, quick-start, first-skill, next-steps) - New docs/user-guide/ section (6 files: core concepts through troubleshooting) - New docs/reference/ section (CLI_REFERENCE, CONFIG_FORMAT, ENVIRONMENT_VARIABLES, MCP_REFERENCE) - New docs/advanced/ section (custom-workflows, mcp-server, multi-source) - New docs/ARCHITECTURE.md - system architecture overview - Archived legacy files (QUICKSTART.md, QUICK_REFERENCE.md, docs/guides/USAGE.md) to docs/archive/legacy/ Chinese (zh-CN) translations: - Full zh-CN mirror of all user-facing docs (getting-started, user-guide, reference, advanced) - GitHub Actions workflow for translation sync (.github/workflows/translate-docs.yml) - Translation sync checker script (scripts/check_translation_sync.sh) - Translation helper script (scripts/translate_doc.py) Content updates: - CHANGELOG.md: [Unreleased] → [3.1.0] - 2026-02-22 - README.md: updated with new doc structure links - AGENTS.md: updated agent documentation - docs/features/UNIFIED_SCRAPING.md: updated for unified scraper workflow JSON config Analysis/planning artifacts (kept for reference): - DOCUMENTATION_OVERHAUL_PLAN.md, DOCUMENTATION_OVERHAUL_SUMMARY.md - FEATURE_GAP_ANALYSIS.md, IMPLEMENTATION_GAPS_ANALYSIS.md, CREATE_COMMAND_COVERAGE_ANALYSIS.md - CHINESE_TRANSLATION_IMPLEMENTATION_SUMMARY.md, ISSUE_260_UPDATE.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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yusyus
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6f9584ba67 |
feat: Add integration testing with real vector databases (Phase 5)
Phase 5 of optional enhancements: Integration Testing **New Files:** - tests/docker-compose.test.yml (Docker Compose configuration) - Weaviate service (port 8080) with health checks - Qdrant service (ports 6333, 6334) with persistent storage - ChromaDB service (port 8000) with persistent storage - Auto-restart and health monitoring for all services - Named volumes for data persistence - tests/test_integration_adaptors.py (695 lines) - 6 comprehensive integration tests with pytest - 3 test classes: TestWeaviateIntegration, TestChromaIntegration, TestQdrantIntegration - Complete workflows: package → upload → query → verify → cleanup - Metadata preservation tests - Query filtering tests (ChromaDB, Qdrant) - Graceful skipping when services unavailable - Best-effort cleanup in all tests - scripts/run_integration_tests.sh (executable runner) - Beautiful terminal UI with colored output - Automated service lifecycle management - Health check verification for all services - Automatic client library installation - Commands: start, stop, test, run, logs, status, help - Complete workflow: start → test → stop **Test Results:** - All 6 integration tests skip gracefully when services not running - All 164 adaptor tests still passing - No regressions detected **Usage:** # Complete workflow (start services, run tests, cleanup) ./scripts/run_integration_tests.sh # Or manage manually docker-compose -f tests/docker-compose.test.yml up -d pytest tests/test_integration_adaptors.py -v -m integration docker-compose -f tests/docker-compose.test.yml down -v # Individual commands ./scripts/run_integration_tests.sh start # Start services only ./scripts/run_integration_tests.sh test # Run tests only ./scripts/run_integration_tests.sh stop # Stop services ./scripts/run_integration_tests.sh logs # View service logs ./scripts/run_integration_tests.sh status # Check service status **Test Coverage:** ✓ Weaviate: Complete workflow + metadata preservation (2 tests) ✓ ChromaDB: Complete workflow + query filtering (2 tests) ✓ Qdrant: Complete workflow + payload filtering (2 tests) **Key Features:** • Real database integration (not mocks) • Complete end-to-end workflows • Metadata validation across all platforms • Query filtering demonstrations • Automatic cleanup (best-effort) • Graceful degradation (skip if services unavailable) • Health checks ensure service readiness • Persistent storage with Docker volumes Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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yusyus
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b7e800614a |
feat: Add comprehensive performance benchmarking (Phase 4)
Phase 4 of optional enhancements: Performance Benchmarking **New Files:** - tests/test_adaptor_benchmarks.py (478 lines) - 6 comprehensive benchmark tests with pytest - Measures format_skill_md() across 11 adaptors - Tests package operations (time + file size) - Analyzes scaling behavior (1-50 references) - Compares JSON vs ZIP compression ratios (~80-90x) - Quantifies metadata processing overhead (<10%) - Compares empty vs full skill performance - scripts/run_benchmarks.sh (executable runner) - Beautiful terminal UI with colored output - Automated benchmark execution - Summary reporting with key insights - Package installation check **Modified Files:** - pyproject.toml - Added "benchmark" pytest marker **Test Results:** - All 6 benchmark tests passing - All 164 adaptor tests still passing - No regressions detected **Key Findings:** • All adaptors complete formatting in < 500ms • Package operations complete in < 1 second • Linear scaling confirmed (0.39x factor at 50 refs) • Metadata overhead negligible (-1.8%) • ZIP compression ratio: 83-84x • Empty skill processing: 0.03ms • Full skill (50 refs): 2.62ms **Usage:** ./scripts/run_benchmarks.sh Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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yusyus
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5a78522dbc |
docs: Update all documentation to use new 'analyze' command
- Update Chinese README (README.zh-CN.md) with new preset flags - Update docs/features/*.md (PATTERN_DETECTION, HOW_TO_GUIDES, BOOTSTRAP_SKILL_TECHNICAL) - Update scripts/bootstrap_skill.sh to use 'skill-seekers analyze' - Update scripts/skill_header.md command examples - Update tests/test_bootstrap_skill.py assertions - Fix CHANGELOG.md historical entry with correct command name All references to 'skill-seekers-codebase' updated to 'skill-seekers analyze' except where needed for backward compatibility (pyproject.toml, E2E tests). Related to Phase 1 implementation from previous commits. |
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yusyus
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38e8969ae7 |
feat: Merge PR #249 - Bootstrap skill with fixes and MCP optionality
Merged PR #249 from @MiaoDX with enhancements: Bootstrap Feature: - Self-bootstrap: Generate skill-seekers as Claude Code skill - Robust frontmatter detection (dynamic line finding) - SKILL.md validation (YAML + Markdown structure) - Comprehensive error handling (uv check, permission checks) - 6 E2E tests with venv isolation MCP Optionality (User Feature): - MCP removed from core dependencies - Optional install: pip install skill-seekers[mcp] - Lazy loading with helpful error messages - Interactive setup wizard on first run - Backward compatible Bug Fixes: - Fixed codebase_scraper.py AttributeError (line 1193) - Fixed test_bootstrap_skill_e2e.py Path vs str issue - Updated test version expectations to 2.7.0 - Added httpx to core (required for async scraping) - Added anthropic to core (required for AI enhancement) Testing: - 6 new bootstrap E2E tests (all passing) - 1207/1217 tests passing (99.2% pass rate) - All bootstrap and enhancement tests pass - Remaining failures are pre-existing test infrastructure issues Documentation: - Updated CHANGELOG.md with v2.7.0 notes - Updated README.md with bootstrap and installation options - Added setup wizard guide Files Modified (9): - CHANGELOG.md, README.md - Documentation updates - pyproject.toml - MCP optional, httpx/anthropic core, markers, entry points - scripts/bootstrap_skill.sh - Dynamic frontmatter, validation, error handling - src/skill_seekers/cli/install_skill.py - Lazy MCP loading - tests/test_cli_paths.py - Version 2.7.0 - uv.lock - Dependency updates New Files (2): - src/skill_seekers/cli/setup_wizard.py - Interactive installation guide (95 lines) - tests/test_bootstrap_skill_e2e.py - E2E bootstrap tests (169 lines) Credits: @MiaoDX for PR #249 Co-Authored-By: MiaoDX <MiaoDX@hotmail.com> Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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MiaoDX
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cc21239626 |
feat: Add bootstrap script to generate skill-seekers operational skill
Add: - scripts/bootstrap_skill.sh - Main script (uv sync, analyze) - scripts/skill_header.md - Operational instructions header - tests/test_bootstrap_skill.py - Pytest tests The header contains manual instructions that can't be auto-extracted: - Prerequisites (pip install) - Command reference table - Quick start examples The script prepends this header to the auto-generated SKILL.md which contains patterns, examples, and API docs from code analysis. Usage: ./scripts/bootstrap_skill.sh cp -r output/skill-seekers ~/.claude/skills/ Output: output/skill-seekers/ (directory with SKILL.md) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |