Orchestrator. Triages a PR, local diff, patch file, or staged/branch changes into one of four review types (content, code-lite, code-deep, infra) and dispatches to the matching child skill. Use this when you don't already know which depth or type of review you want. For a known type, invoke the child skill directly.
name: code-reviewer
description:
Use this skill to reviewcode. It supports both local changes (staged or working tree)
and remote Pull Requests (by ID or URL). It focuses
Internal correctness + simplification review pass of the agentic-workflow review pack — composed in-turn by review-change and product-audit; not a menu entry. Checks correctness, error handling, duplication, dead code, and simplification opportunities against the project's own conventions. Findings only; never edits code.
AI-powered code review using CodeRabbit. Default code-review skill. Trigger for any explicit review request AND autonomously when the agent thinks a review is needed (code/PR/quality/security).
Review the changes since a fixed point (commit, branch, tag, PR, or merge-base) on two axes — Standards (does it follow this repo's documented rules?) and Spec (does it do what the originating issue asked?). Each axis returns a verdict per enumerated item rather than an open-ended list of findings, so a round terminates. Use when the user wants to review a branch, a PR, working-tree changes, or asks to "review since X"; and again after fixes, to review the fix.
Performs an architectural and quality code review on a specified file or set of files. Checks for coding standard compliance, architectural pattern adherence, SOLID principles, testability, and performance concerns.
Review pull requests, commits, or diffs for high-signal engineering issues and merge risk. Use when asked to review code, audit a patch, find bugs, or provide merge readiness feedback. Focus on defects introduced by the proposed changes (correctness, security, performance, reliability, and maintainability) and report actionable findings with severity, confidence, and precise code locations.
Run a full-codebase audit of CachiBot using 8 parallel review agents (DRY, Security, API, Data, Frontend, Tests, State, Observability). Each agent reports findings with file paths and line numbers, compiled into a dated report.
Systematic code review for implementation phases verifying architectural principles, framework standards, ADR compliance, and code quality. This skill is invoked by implement-phase as part of its quality gate pipeline, or manually when reviewing code changes. Triggers on "review code", "code review", "/code-review", or automatically as Step 3 of implement-phase.
Review pull requests in adrkit for actionable defects and conflicts with governing architecture decisions. Use during Copilot code review to inspect changed paths, retrieve relevant ADR context through the adrkit MCP server, and produce evidence-backed inline findings.
Systematic code review with security, performance, and quality checklists. Use when user asks to "проревьюй код", "сделай code review", "review this code", "check code quality", or when task requires reviewing pull requests, analyzing code changes, or evaluating code quality.
Performs an architectural and quality code review on a specified file or set of files. Checks for coding standard compliance, architectural pattern adherence, SOLID principles, testability, and performance concerns.
A folder with a SKILL.md file: a name, a description of when to use it, and instructions. Claude loads a skill only when the task matches its description.
How do I use one I find here?
Copy the folder into your project's .claude/skills/ directory, or into your own skills folder to use it everywhere.
What do the warnings mean?
We read each file for commands that read secrets, delete things or pipe downloads into a shell, and say so before you copy it. No warning is not a promise that a file is safe.
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