Technical rigor in code review: receiving feedback critically, requesting systematic reviews, and verifying before any completion claims.
Works with
Three core practices: receiving feedback with technical evaluation over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before status claims
Includes decision tree and protocols for handling feedback from human partners versus external reviewers, with explicit rules against performative
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 mrgoonie/claudekit-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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Guide proper code review practices emphasizing technical rigor, evidence-based claims, and verification over performative responses.
Code review requires three distinct practices:
Each practice has specific triggers and protocols detailed in reference files.
Technical correctness over social comfort. Verify before implementing. Ask before assuming. Evidence before claims.
Trigger when:
Reference: references/code-review-reception.md
Trigger when:
Reference: references/requesting-code-review.md
Trigger when:
Reference: references/verification-before-completion.md
SITUATION?
│
├─ Received feedback
│ ├─ Unclear items? → STOP, ask for clarification first
│ ├─ From human partner? → Understand, then implement
│ └─ From external reviewer? → Verify technically before implementing
│
├─ Completed work
│ ├─ Major feature/task? → Request code-reviewer subagent review
│ └─ Before merge? → Request code-reviewer subagent review
│
└─ About to claim status
├─ Have fresh verification? → State claim WITH evidence
└─ No fresh verification? → RUN verification command first
READ → UNDERSTAND → VERIFY → EVALUATE → RESPOND → IMPLEMENT
Full protocol: references/code-review-reception.md
BASE_SHA=$(git rev-parse HEAD~1) and HEAD_SHA=$(git rev-parse HEAD)Full protocol: references/requesting-code-review.md
NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE
IDENTIFY command → RUN full command → READ output → VERIFY confirms claim → THEN claim
Skip any step = lying, not verifying
Using "should"/"probably"/"seems to", expressing satisfaction before verification, committing without verification, trusting agent reports, ANY wording implying success without running verification
Full protocol: references/verification-before-completion.md
Verify. Question. Then implement. Evidence. Then claim.
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
Useful defaults in code-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added code-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: code-review is the kind of skill you can hand to a new teammate without a long onboarding doc.
code-review reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for code-review matched our evaluation — installs cleanly and behaves as described in the markdown.
code-review reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: code-review is the kind of skill you can hand to a new teammate without a long onboarding doc.
code-review has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for code-review matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for code-review matched our evaluation — installs cleanly and behaves as described in the markdown.
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