Combined simplification and review pipeline. This skill orchestrates two sub-skills in sequence:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncode-polishExecute the skills CLI command in your project's root directory to begin installation:
Fetches code-polish 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-polish. Access via /code-polish 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.
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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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Combined simplification and review pipeline. This skill orchestrates two sub-skills in sequence:
code-simplify — simplify for readability and maintainabilitycode-review --fix — review for correctness, security, and quality, auto-applying all fixesOptimize for one scope resolution, one user-facing report, and no redundant simplify verification.
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-standardResolved scope fenced block with one repo-relative path per line. Reuse that exact block for both sub-skills instead of asking them to rediscover scope.Resolved scope block as authoritative for all downstream work.code-simplifyInvoke the code-simplify skill with:
Resolved scope block--no-verify--no-reportTell code-simplify not to broaden or rediscover scope.
code-review --fixInvoke the code-review skill with:
Resolved scope block--fixIf the user explicitly asks for a speed-first pass over maintainability coverage, you may also append --skip-profile naming. Do not skip the naming profile by default.
code-review's post-fix verification as the final verification summary when it already covers the final touched scope.Combine the final state into one summary:
code-simplify, derived from the actual diff when needed because --no-report was used.code-review.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-polish — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for code-polish matched our evaluation — installs cleanly and behaves as described in the markdown.
code-polish reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added code-polish from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added code-polish from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
code-polish reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: code-polish is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added code-polish from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
code-polish fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
code-polish has been reliable in day-to-day use. Documentation quality is above average for community skills.
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