review-code
SkillFiles & storageReview 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the review-code skill
What this skill tells your AI
The instructions your AI receives, as published by avibebuilder/claude-prime in .claude/skills/review-code/SKILL.md and read by ahel’s review.
ultrathink
Process
Critique only — no fixes or implementation. Understand why the code exists before judging it.
1. Identify the review target
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.
2. Match depth to risk
- Quick — small, local, low-risk; keep output brief
- Standard — normal feature or refactor
- Deep — risky, cross-cutting, security-sensitive, or surprising
3. Review flow first, then details
Understand how important parts work before commenting line by line. Focus on load-bearing logic, edge cases, scope drift, and intentional tradeoffs.
4. Report
For each finding: file path + line, why it matters, severity.
- Critical — correctness, safety, broken edge cases, scope violations. Requires evidence in the code — speculative failure modes belong in Questions.
- Suggestion — non-blocking improvements
- Question — missing context or unconfirmable concerns
If something looks odd but context supports it, acknowledge rather than flag.
5. Output format
## 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.
Boundaries
- Read surrounding code when the diff alone is misleading.
- Deliberate decisions (inline comments, user-stated tradeoffs) are not defects — raise as Question only with concrete evidence.
- Don't judge by personal preference when project fit explains the choice.
- Name the right approach ("needs parameterized queries") but don't write corrected code.
Target
$ARGUMENTS
Signals
- GitHub stars
- 120
- Forks
- 16
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
review-code-avibebuilder- Source
- github.com/avibebuilder/claude-prime