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Found 1,261 Skills
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Review code changes for correctness, security, and maintainability. Supports local git diffs (staged or working tree) and remote Pull Requests (by ID or URL). Use when the user asks to review code, check a PR, audit changes, or wants feedback on code quality before merging.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Three-axis review of a diff against a fixed point: Standards (does it follow this repo's coding standards?), Spec (does it match the originating issue/PRD?), and Stability (were the spec's property-based tests shipped?). Runs axes as parallel sub-agents.
Review a diff or pull request for correctness and quality — logic bugs, edge cases, error handling, race conditions, missing tests, API misuse, performance, and readability. Use when reviewing a PR, auditing a change before merge, giving feedback on someone's code, or self-reviewing your own diff. Keywords code review, PR review, pull request, diff review, review my changes, approve, request changes.
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
Build or update the code review knowledge graph. Run this first to initialize, or let hooks keep it updated automatically.
Review a PR or branch diff using the knowledge graph for full structural context. Outputs a structured review with blast-radius analysis.
SQLAlchemy ORM and Alembic migration best practices for building safe, performant database schemas. This skill should be used when writing, reviewing, or refactoring SQLAlchemy models, Alembic migrations, or database query patterns. Triggers on tasks involving SQLAlchemy ORM, Alembic migrations, database schema changes, or query optimization.
Use when reviewing or scoring AI-generated unit tests/UT code, especially when coverage, assertion effectiveness, or test quality is in question and a numeric score, risk level, or must-fix checklist is needed
Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture usage, or mock patterns.
Rust best practices and code quality guidelines for writing idiomatic, safe, and performant Rust code. This skill should be used when writing, reviewing, or refactoring Rust code. Triggers on tasks involving Rust programming, code review, error handling, type safety, or performance optimization.