Code Review skills

This skill helps you implement dependency injection patterns in React by providing a DI container, enabling mockable services, and safer testing.

This skill runs configured type checkers on edited Python files to ensure type safety and early bug detection.

This skill performs deep multi-model code reviews with Codex and Gemini, aggregating findings, deduplicating results, and detecting secrets to improve security

This skill helps ensure AI-generated code is automatically validated with per-file and repo-wide hooks, improving safety and determinism.

This skill evaluates software architecture for SOLID principles, design patterns, and scalability, proposing actionable improvements for maintainability.

This skill analyzes code performance to identify bottlenecks and suggest practical optimizations for algorithms, queries, and resource usage.

This skill generates comprehensive unit, integration, and end-to-end tests from code, including edge cases and mocks to support TDD.

This skill automatically discovers all best-practice skills and executes their checks, then enforces standardized validation to ensure consistent project

This skill verifies Skill adherence to best practices, generates a structured checklist, and suggests automatic fixes for naming, structure, metadata, and

This skill automates SDLC with feature branches, code reviews, and GitHub issue tracking, letting you stay focused while shipping quality.

This skill helps compare Lisa's templates to a target project, identify drift, and propose adopting improvements back into Lisa.

This skill analyzes the last PR against SonarQube quality gates and reports all failure details from the MCP server.

This skill reviews Python code for PEP8, type hints, and Pythonic idioms, improving maintainability and reducing errors.

This skill helps you understand project constitution rules by summarizing sections and highlighting constraints for compliant development.

This skill reviews pull request comments, generates a plan to address unresolved feedback, and bootstraps fixes to meet project standards.

This skill fixes ESLint violations across the codebase by analyzing errors, grouping by rule, and proposing actionable plan and tasks.

This skill wraps up a session by coordinating code and docs updates, git operations, and roadmap planning across repo types.

This skill reviews ML/DL code for PyTorch/TensorFlow patterns, training optimization, data pipelines, and MLOps checks to improve model quality and reliability.

This skill generates standardized front-end pages based on Anatomy guidelines, prompting mode selection (unsupervised or supervised) and assembling Wrapper,

This skill generates OpenAPI/Swagger, Markdown, HTML, and Postman documentation from code for REST and GraphQL APIs, with code examples and authentication

This skill reviews GraphQL schemas, resolvers, and operations for N+1, query complexity, input validation, and error handling to improve security and