
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.
- Installs
- 9.7K
- Last 24h
- —
- Trending rank
- —
- Security
- Warn
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/google-gemini/gemini-cli --skill code-reviewer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads code-reviewer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
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:
- Checkout: Use the GitHub CLI to checkout the PR.
gh pr checkout <PR_NUMBER> - Preflight: Execute the project's standard verification suite to catch automated failures early.
npm run preflight - Context: Read the PR description and any existing comments to understand the goal and history.
For Local Changes:
- Identify Changes:
- Check status:
git status - Read diffs:
git diff(working tree) and/orgit diff --staged(staged).
- Check status:
- Preflight (Optional): If the changes are substantial, ask the user if they want to run
npm run preflightbefore 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. Provide Feedback
Structure
- Summary: A high-level overview of the review.
- Findings:
- Critical: Bugs, security issues, or breaking changes.
- Improvements: Suggestions for better code quality or performance.
- Nitpicks: Formatting or minor style issues (optional).
- Conclusion: Clear recommendation (Approved / Request Changes).
Tone
- Be constructive, professional, and friendly.
- Explain why a change is requested.
- For approvals, acknowledge the specific value of the contribution.
5. Cleanup (Remote PRs only)
- After the review, ask the user if they want to switch back to the default branch (e.g.,
mainormaster).
FAQ
What does the code-reviewer skill do?
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.
How do I install code-reviewer?
Run npx skills add https://github.com/google-gemini/gemini-cli --skill code-reviewer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/code-reviewer/ (personal) or .claude/skills/code-reviewer/ (project).
Which AI agents can use code-reviewer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is code-reviewer safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review; Runlayer passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains code-reviewer?
It is published by google-gemini in google-gemini/gemini-cli, and it is an official skill from the maker of the technology it covers. It has 9,674 recorded installs.
More from google-gemini/gemini-cli
docs-writer
google-gemini/gemini-cli
Always use this skill when the task involves writing, reviewing, or editing files in the /docs directory or any .md files in the repository.
pr-creator
google-gemini/gemini-cli
Use this skill when asked to create a pull request (PR). It ensures all PRs follow the repository's established templates and standards.
docs-changelog
google-gemini/gemini-cli
Generates and formats changelog files for a new release based on provided version and raw changelog data.
pr-address-comments
google-gemini/gemini-cli
Use this skill if the user asks you to help them address GitHub PR comments for their current branch of the Gemini CLI. Requires gh CLI tool.
github-issue-creator
google-gemini/gemini-cli
Use this skill when asked to create a GitHub issue. It handles different issue types (bug, feature, etc.) using repository templates and ensures proper labeling.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available