Find high-impact defects in changed code with evidence. Prioritize security, correctness, and regressions over style nits.
Works with
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 paulrberg/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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Find high-impact defects in changed code with evidence. Prioritize security, correctness, and regressions over style nits.
--fix: After reporting findings, apply all suggested fixes automatically in severity order (CRITICAL -> HIGH -> MEDIUM -> LOW), then rerun targeted checks and report exactly what changed.--skip-profile <name>: Skip an optional domain profile by stem or filename. Repeatable. Example: --skip-profile naming.git rev-parse --git-dir. If this fails, stop and tell the user to run from a git repository.Resolved scope fenced block with one repo-relative path per line, scope is exactly those targets.git diff --name-only --diff-filter=ACMRgit ls-files --others --exclude-standard--skip-profile exclusions.--fix: apply all suggested fixes in severity order, then run targeted verification.Apply on every run.
CORE-001 Behavior regression (HIGH): changed branch/state transition alters external behavior.CORE-002 Error-path safety (HIGH): failures can cascade, crash, or return unsafe defaults.CORE-003 Boundary handling (HIGH): null/empty/overflow/edge inputs are not handled.CORE-004 Resource hygiene (MEDIUM): leaked timers/listeners/handles/connections.CORE-005 Complexity hotspot (MEDIUM): change introduces avoidable coupling or hidden side effects.CORE-006 Test gap (MEDIUM): changed behavior has no targeted test coverage.references/profiles/security.md: auth, external input, secrets, crypto, public network surfaces, unsafe parsing.references/profiles/configuration.md: env/config, timeouts, retries, pools, limits, resource tuning, rollout controls.references/profiles/typescript-react.md: TypeScript/JavaScript/React/Node files.references/profiles/python.md: Python services, scripts, async workloads.references/profiles/shell.md: shell scripts, CI command blocks, deployment scripts.references/profiles/smart-contracts.md: Solidity/Solana/on-chain protocol code.references/profiles/data-formats.md: CSV/JSON/YAML/binary ingestion/export/parsing.references/profiles/naming.md: naming/intent clarity after correctness and security issues are handled. This profile is optional and can be skipped explicitly.Load only profiles relevant to touched files. Prefer no more than three domain profiles per pass unless the user requests a deep audit.
Use this structure and order for every review result.
List reviewed files and any excluded patterns.
Order by severity: CRITICAL -> HIGH -> MEDIUM -> LOW.
For each finding, use this shape:
[SEVERITY] Title — path/to/file.ext:linehigh | medium | low.Include when not using --fix.
Include only when --fix is used. List each change with file references.
List commands run and outcomes. Explicitly list skipped checks.
Capture unresolved assumptions and follow-ups.
Run the narrowest checks that validate touched behavior:
If checks cannot run, state exactly what was skipped and why.
Stop and ask for direction when:
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
Solid pick for teams standardizing on skills: code-review is focused, and the summary matches what you get after install.
Registry listing for code-review matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: code-review is the kind of skill you can hand to a new teammate without a long onboarding doc.
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.
code-review reduced setup friction for our internal harness; good balance of opinion and flexibility.
code-review is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend code-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added code-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in code-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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