Agent skill · software engineering · aiskillstore
code-reviewer
Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.
Why this skill is useful
Adds a structured code review process with specific commands and criteria that the AI wouldn't reliably generate on its own.
What it needs
Requires gh, npm installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Code Reviewer This skill guides the agent in conducting professional and thorough code reviews for both local development and remote Pull Requests. Workflow 1. Determine Review Target Remote PR: If the user provides a PR number or URL (e.g., "Review PR #123"), target that remote PR. Local Changes: If no specific PR is mentioned, or if the user asks to "review my changes", target the current local file system states (staged and unstaged changes). 2. Preparation For Remote PRs: 1. Checkout: Use the GitHub CLI to checkout the PR. 2. Preflight: Execute the project's standard verification suite to catch automated failures early. 3. Context: Read the PR description and any existing comments to understand the goal and history. For Local Changes: 1. Identify Changes: Check status: git status Read diffs: git diff (working tree) and/or git diff --staged (staged). 2. Preflight (Optional): If the changes are substantial, ask the user if they want to run npm run preflight before reviewing. 3. In-Depth Analysis Analyze the code changes based on the following pillars: Correctness: Does the code achieve its stated purpose without bugs or logical errors? Maintainability: Is the code clean, well-structured, and easy to understand and modify in the future? Consider factors like code clarity, modularity, and adherence to established design patterns. Readability: Is the code well-commented (where necessary) and consistently formatted according to our project's coding style guidelines? Efficiency: Are there any obvious performance bottlenecks or resource inefficiencies introduced by the changes? Security: Are there any potential security vulnerabilities or insecure coding practices? Edge Cases and Error Handling: Does the code appropriately handle edge cases and potential errors? Testability: Is the new or modified code adequately covered by tests (even if preflight checks pass)? Suggest additional test cases that would improve coverage or robustness. 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/code-reviewer--f98742