CodeSigils

python-project-workflow

Set up, inspect, preserve, and verify Python projects across greenfield bootstrap, tooling configuration, CI, packaging, mature-repo preservation, and project-native verification. Use for Python project workflow tasks, not for pure code review; use py-review-skill or another dedicated review skill for review findings.

1 Updated 2 weeks ago

Data & Documents Listed

markdown-formatter

Zero-dependency GFM and MDX formatter with table, pipe, and fence guards for AI-agent-authored Markdown

0 Updated 3 days ago

skill-discovery

Find, inspect, compare, and recommend agent skills when a user explicitly asks for a skill or when no installed skill clearly covers the requested capability. Search local skills before external catalogs, verify candidate safety and compatibility, and ask before installing or creating anything. Do not invoke for ordinary tasks that an available skill already clearly handles.

py-anti-patterns

Review Python code for common correctness and maintainability anti-patterns including hard-coded configuration, mixed I/O and business logic, leaked internal models, scattered retries, mutable defaults, and resource misuse. Use as a focused checklist during Python review.

py-async-patterns

Review Python async code for event-loop blocking, missing await, incorrect task/gather usage, swallowed cancellation, missing timeouts, and sync/async boundary mistakes. Use when reviewing asyncio, FastAPI, aiohttp, httpx async clients, background tasks, or concurrent I/O.

Code & Development Listed

py-code-style

Review Python code style with emphasis on configured tooling, import organization, naming clarity, public API documentation, formatting consistency, and string transformation patterns. Use when reviewing style/lint changes, pyproject lint configuration, docstrings, imports, naming, readability issues, or pluralization logic after correctness findings.

py-error-handling

Review Python code for error-handling issues including missing boundary validation, generic exceptions, swallowed failures, missing exception chaining, partial batch failure handling, and cleanup behavior. Use when reviewing validation logic, exception paths, retries, file/network operations, or batch processing.

Code & Development Listed

py-review

Route Python code review to focused skills for type safety, error handling, anti-patterns, async behavior, and code style. Use before or during Python code review to orient on project version, maturity, toolchain, changed files, and which py-* review skills should be loaded.

Code & Development Listed

py-type-safety

Review Python code for type-safety issues including Any leaks, missing public annotations, unsafe Optional handling, unparameterized collections, imprecise generics, and type-checker configuration drift. Use when reviewing typed Python code, public APIs, dataclasses, protocols, generics, casts, or mypy/pyright configuration.