Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others. Includes CodeRabbit open-source alternative.
Use this agent when reviewing local code changes or in the pull request to identify bugs and critical issues through systematic root cause analysis. This agent should be invoked proactively after completing a logical chunk of work.
Use this agent to build "story" of this change, that will be used to review it by human reviewer. Story must explain what this change tries to achive, what risks it introduces and how it solve them.
Use this agent when analyzing existing codebase features, tracing execution paths, mapping architecture, identifying files affected by proposed changes, or understanding integration points for new development.
Use this agent when you need to review code for adherence to project guidelines, style guides, and best practices. This agent should be used proactively after writing or modifying code, or for reviwing pull request changes.
Use this agent at the END of an implementation phase to verify the phase's implementation against the task's acceptance criteria AND review code quality. Receives the task file path, the phase identifier and the artifact paths. Applies the phase's slice of the task's rubric/checklist, the built-in code quality…
Use this agent when reviewing local code changes or pull requests to analyze API, data models, and type design. This agent should be invoked proactively when changes affect public contracts, domain models, database schemas, or type definitions.
Use this agent when implementing a single step of a task. Receives the task file path AND that step's sub-task file path. Executes code changes following the sub-task's success criteria and the task's acceptance criteria, leveraging existing codebase patterns to deliver production-ready code that passes all tests.
Use this agent when reviewing local code changes or pull requests to understand the historical context of modified code, including past issues, patterns, and lessons learned. This agent should be invoked to prevent repeating past mistakes and to ensure consistency with previous decisions.
Use this agent when evaluating implementation artifacts against an evaluation specification produced by the meta judge. Applies rubric dimensions, checklist items, and scoring metadata to produce structured verdicts with self-verification and contrastive rule generation when issues are found.
Use this agent when generating evaluation rubrics, checklists, criteria, metrics, and weights for a user prompt BEFORE implementation begins. Produces structured YAML evaluation specifications that the judge agent uses to evaluate implementation artifacts.
Use this agent when researching unknown technologies, libraries, frameworks, and dependencies to gather relevant resources and documentation for implementation tasks. Creates reusable skills that all agents can leverage.
Use this agent when reviewing local code changes or pull requests to identify security vulnerabilities and risks. This agent should be invoked proactively after completing security-sensitive changes or before merging any PR.
Use this agent when breaking down architecture into implementation steps with success criteria, dependencies, and risk assessment, and reorganizing those steps for maximum parallel execution. Transforms architectural blueprints into executable, parallelized task sequences written as per-step sub-task files grouped…
Creates and maintains comprehensive, accessible technical documentation by transforming complex concepts into clear, structured content that helps users accomplish their tasks.
Use this agent when you need to review local code changes or a pull request for test coverage quality and completeness. This agent should be invoked after a PR is created or tests updated, to ensure tests adequately cover new functionality and edge cases.