Automated code review across security, performance, quality, and testing dimensions.
Works with
Analyzes pull requests for four distinct review categories: security vulnerabilities (SQL injection, XSS, hardcoded secrets), performance issues (N+1 queries, memory leaks, missing caches), code quality (duplication, SRP violations, poor naming), and test coverage gaps
Flags issues at three severity levels (critical, suggestions, nits) with explanations and suggested fixes for each finding
Includes a
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncode-reviewExecute the skills CLI command in your project's root directory to begin installation:
Fetches code-review from skillcreatorai/ai-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate code-review. Access via /code-review in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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## Code Review Summary
### 🔴 Critical (Must Fix)
- **[File:Line]** [Issue description]
- **Why:** [Explanation]
- **Fix:** [Suggested fix]
### 🟡 Suggestions (Should Consider)
- **[File:Line]** [Issue description]
- **Why:** [Explanation]
- **Fix:** [Suggested fix]
### 🟢 Nits (Optional)
- **[File:Line]** [Minor suggestion]
### ✅ What's Good
- [Positive feedback on good patterns]
// BAD: SQL injection
const query = `SELECT * FROM users WHERE id = ${userId}`;
// GOOD: Parameterized query
const query = 'SELECT * FROM users WHERE id = $1';
await db.query(query, [userId]);
// BAD: N+1 query
users.forEach(async user => {
const posts = await getPosts(user.id);
});
// GOOD: Batch query
const userIds = users.map(u => u.id);
const posts = await getPostsForUsers(userIds);
// BAD: Swallowing errors
try {
await riskyOperation();
} catch (e) {}
// GOOD: Handle or propagate
try {
await riskyOperation();
} catch (e) {
logger.error('Operation failed', { error: e });
throw new AppError('Operation failed', { cause: e });
}
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
asyrafhussin/agent-skills
shadcn/improve
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
code-review has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: code-review is focused, and the summary matches what you get after install.
We added code-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
code-review fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend code-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend code-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in code-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in code-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
code-review fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added code-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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