Review code for quality, correctness, and fit. Use when the user wants judgment on code that already exists — their own changes, a teammate's patch, a PR, branch, commit, diff, staged changes, or one or more files to look over. Activate on requests like review, look over, sanity check, critique, code review, or 'is this good?' The key signal is that the user wants evaluation of existing code and its tradeoffs, not implementation, debugging, or explanation. This skill works independently, but when plans, specs, task artifacts, or prior discussion exist, use them to understand why the code exists before judging it.
npx skills add https://github.com/avibebuilder/claude-prime --skill review-code
ultrathink
Critique only — no fixes or implementation. Understand *why* the code exists before judging it.
Prefer in order: explicit <target>, changes made in this conversation, working diff. If unclear, ask.
Then gather enough context (PR/issue text, plans, surrounding code) to avoid misreads. Don't turn every review into archaeology — if a missing detail would materially change judgment, ask briefly.
Understand how important parts work before commenting line by line. Focus on load-bearing logic, edge cases, scope drift, and intentional tradeoffs.
For each finding: file path + line, why it matters, severity.
If something looks odd but context supports it, acknowledge rather than flag.
## Code Review: [scope]
**Verdict: {Approve | Request Changes | Reject}**
### Inferred Intent
[Only when context supports it]
### Critical Issues (Must Fix)
- `path/to/file:line` — concise description. Why: [reason]
### Suggestions (Nice to Have)
- `path/to/file:line` — concise description
### Questions
- [Clarifications on intent or tradeoffs]
### Summary
[1-2 sentences]
Include only sections with content. Always include Verdict and Summary.
<target>$ARGUMENTS</target>
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive GitHub code review with AI-powered swarm coordination
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
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.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
Take avibebuilder/review-code from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.