codex-review
Run Codex and Claude code reviews iteratively until both find no issues. Use after making changes and before committing.
lookup-docs
Look up documentation for any library using Context7. Resolves library IDs and queries versioned docs.
Full skill instructions
Find relevant documentation for any technology using Context7 MCP.
/lookup-docs <library> <query>
/lookup-docs strapi document service populate relations/lookup-docs mantine Modal controlled state/lookup-docs playwright wait for network idle/lookup-docs react server components data fetching/lookup-docs django queryset filteringExtract:
mcp__context7__resolve-library-id or mcp__plugin_context7_context7__resolve-library-id
Call with the library name and query for context. This returns the Context7 library ID.
mcp__context7__query-docs or mcp__plugin_context7_context7__query-docs
Call with the resolved library ID and the specific question.
From the documentation results:
## Documentation: [library] - [topic]
### Quick Answer
[1-2 sentence direct answer]
### Code Example
[Most relevant, complete code example]
### Key Points
- [Important detail 1]
- [Important detail 2]
### Best Practices
- [Recommended approach]
- [What to avoid]
### Source
Library: [library ID]
Run Codex and Claude code reviews iteratively until both find no issues. Use after making changes and before committing.
Creates a pull request with proper formatting, running tests first and including a structured description.
Commit session changes only, or all changes if no session edits.
Run full quality gate: linting, type checks, unit tests, and integration tests — all in parallel.
Run formatting, linting, and type checking. Auto-detects project languages (Python, JS/TS, Bash). Fixes auto-fixable issues and stages changes.
Use when asked to work on, implement, or complete a GitHub issue — before writing any code, checks issue state, existing PRs, git history, and codebase to determine what work remains or if the issue is already resolved
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Autonomous test-fix pipeline. Runs full suite, diagnoses each failure, fixes source code, and iterates until all tests pass. Asks the user when uncertain about intended behavior.
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