skill-seekers-reference/AGENTS.md

AGENTS.md - Skill Seekers

Concise reference for AI coding agents. Skill Seekers is a Python CLI tool (v3.3.0) that converts documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and more into AI-ready skills for 16+ LLM platforms and RAG pipelines.

Setup

# REQUIRED before running tests (src/ layout — tests hard-exit if package not installed)
pip install -e .
# With dev tools (pytest, ruff, mypy, coverage)
pip install -e ".[dev]"
# With all optional deps
pip install -e ".[all]"

Note: tests/conftest.py checks that skill_seekers is importable and calls sys.exit(1) if not. Always install in editable mode first.

Build / Test / Lint Commands

# Run ALL tests (never skip tests — all must pass before commits)
pytest tests/ -v

# Run a single test file
pytest tests/test_scraper_features.py -v

# Run a single test function
pytest tests/test_scraper_features.py::test_detect_language -v

# Run a single test class method
pytest tests/test_adaptors/test_claude_adaptor.py::TestClaudeAdaptor::test_package -v

# Skip slow/integration tests
pytest tests/ -v -m "not slow and not integration"

# With coverage
pytest tests/ --cov=src/skill_seekers --cov-report=term

# Lint (ruff)
ruff check src/ tests/
ruff check src/ tests/ --fix

# Format (ruff)
ruff format --check src/ tests/
ruff format src/ tests/

# Type check (mypy)
mypy src/skill_seekers --show-error-codes --pretty

Pytest config (from pyproject.toml): addopts = "-v --tb=short --strict-markers", asyncio_mode = "auto", asyncio_default_fixture_loop_scope = "function". Test markers: slow, integration, e2e, venv, bootstrap, benchmark, asyncio. Async tests: use @pytest.mark.asyncio; asyncio_mode is auto so the decorator is often implicit. Test count: 120 test files (107 in tests/, 13 in tests/test_adaptors/).

Code Style

Formatting Rules (ruff — from pyproject.toml)

• Line length: 100 characters
• Target Python: 3.10+
• Enabled lint rules: E, W, F, I, B, C4, UP, ARG, SIM
• Ignored rules: E501 (line length handled by formatter), F541 (f-string style), ARG002 (unused method args for interface compliance), B007 (intentional unused loop vars), I001 (formatter handles imports), SIM114 (readability preference)

Imports

• Sort with isort (via ruff); skill_seekers is first-party
• Standard library → third-party → first-party, separated by blank lines
• Use from __future__ import annotations only if needed for forward refs
• Guard optional imports with try/except ImportError (see adaptors/__init__.py pattern):

  try:
      from .claude import ClaudeAdaptor
  except ImportError:
      ClaudeAdaptor = None
  

Naming Conventions

• Files: snake_case.py (e.g., source_detector.py, config_validator.py)
• Classes: PascalCase (e.g., SkillAdaptor, ClaudeAdaptor, SourceDetector)
• Functions/methods: snake_case (e.g., get_adaptor(), detect_language())
• Constants: UPPER_CASE (e.g., ADAPTORS, DEFAULT_CHUNK_TOKENS, VALID_SOURCE_TYPES)
• Private: prefix with _ (e.g., _read_existing_content(), _validate_unified())

Type Hints

• Gradual typing — add hints where practical, not enforced everywhere
• Use modern syntax: str | None not Optional[str], list[str] not List[str]
• MyPy config: disallow_untyped_defs = false, check_untyped_defs = true, ignore_missing_imports = true
• Tests are excluded from strict type checking (disallow_untyped_defs = false, check_untyped_defs = false for tests.*)

Docstrings

• Module-level docstring on every file (triple-quoted, describes purpose)
• Google-style docstrings for public functions/classes
• Include Args:, Returns:, Raises: sections where useful

Error Handling

• Use specific exceptions, never bare except:
• Provide helpful error messages with context
• Use raise ValueError(...) for invalid arguments, raise RuntimeError(...) for state errors
• Guard optional dependency imports with try/except and give clear install instructions on failure
• Chain exceptions with raise ... from e when wrapping

Suppressing Lint Warnings

• Use inline # noqa: XXXX comments (e.g., # noqa: F401 for re-exports, # noqa: ARG001 for required but unused params)

Project Layout

src/skill_seekers/           # Main package (src/ layout)
  cli/                       # CLI commands and entry points (96 files)
    adaptors/                # Platform adaptors (Strategy pattern, inherit SkillAdaptor)
    arguments/               # CLI argument definitions (one per source type)
    parsers/                 # Subcommand parsers (one per source type)
    storage/                 # Cloud storage (inherit BaseStorageAdaptor)
    main.py                  # Unified CLI entry point (COMMAND_MODULES dict)
    source_detector.py       # Auto-detects source type from user input
    create_command.py        # Unified `create` command routing
    config_validator.py      # VALID_SOURCE_TYPES set + per-type validation
    unified_scraper.py       # Multi-source orchestrator (scraped_data + dispatch)
    unified_skill_builder.py # Pairwise synthesis + generic merge
  mcp/                       # MCP server (FastMCP + legacy)
    tools/                   # MCP tool implementations by category (10 files)
  sync/                      # Sync monitoring (Pydantic models)
  benchmark/                 # Benchmarking framework
  embedding/                 # FastAPI embedding server
  workflows/                 # 67 YAML workflow presets
  _version.py                # Reads version from pyproject.toml
tests/                       # 120 test files (pytest)
configs/                     # Preset JSON scraping configs
docs/                        # Documentation (guides, integrations, architecture)

Key Patterns

Adaptor (Strategy) pattern — all platform logic in cli/adaptors/. Inherit SkillAdaptor, implement format_skill_md(), package(), upload(). Register in adaptors/__init__.py ADAPTORS dict.

Scraper pattern — each source type has: cli/<type>_scraper.py (with <Type>ToSkillConverter class + main()), arguments/<type>.py, parsers/<type>_parser.py. Register in parsers/__init__.py PARSERS list, main.py COMMAND_MODULES dict, config_validator.py VALID_SOURCE_TYPES set.

Unified pipeline — unified_scraper.py dispatches to per-type _scrape_<type>() methods. unified_skill_builder.py uses pairwise synthesis for docs+github+pdf combos and _generic_merge() for all other combinations.

MCP tools — grouped in mcp/tools/ by category. scrape_generic_tool handles all new source types.

CLI subcommands — git-style in cli/main.py. Each delegates to a module's main() function.

Supported source types (17): documentation (web), github, pdf, word, epub, video, local codebase, jupyter, html, openapi, asciidoc, pptx, rss, manpage, confluence, notion, chat (slack/discord). Each detected automatically by source_detector.py.

Git Workflow

• main — production, protected
• development — default PR target, active dev
• Feature branches created from development

Pre-commit Checklist

ruff check src/ tests/
ruff format --check src/ tests/
pytest tests/ -v -x   # stop on first failure

Never commit API keys. Use env vars: ANTHROPIC_API_KEY, GOOGLE_API_KEY, OPENAI_API_KEY, GITHUB_TOKEN.

CI

GitHub Actions (7 workflows in .github/workflows/):

• tests.yml — ruff + mypy lint job, then pytest matrix (Ubuntu + macOS, Python 3.10-3.12) with Codecov upload
• release.yml — tag-triggered: tests → version verification → PyPI publish via uv build
• test-vector-dbs.yml — tests vector DB adaptors (weaviate, chroma, faiss, qdrant)
• docker-publish.yml — multi-platform Docker builds (amd64, arm64) for CLI + MCP images
• quality-metrics.yml — quality analysis with configurable threshold
• scheduled-updates.yml — weekly skill updates for popular frameworks
• vector-db-export.yml — weekly vector DB exports