Code review and refactoring guidance based on Robert C. Martin's Clean Code principles.
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
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
Submit your Claude Code skill and start earning
epx add sickn33/antigravity-awesome-skills --skill clean-codeCompatible with
Supported agents
Covers nine core areas: meaningful naming conventions, function design (size, single responsibility, argument limits), comment best practices, formatting standards, object and data structure patterns, error handling strategies, unit testing discipline, class design, and code smell identification
Provides actionable guidance for writing new code, reviewing pull requests, refactoring legacy code, and e
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionclean-codeExecute the skills CLI command in your project's root directory to begin installation:
epx add sickn33/antigravity-awesome-skills --skill clean-codeFetches clean-code from sickn33/antigravity-awesome-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:
.cursor/skills/clean-code
Restart Cursor to activate clean-code. Access via /clean-codein your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
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.
frontend-design
sickn33/antigravity-awesome-skills · Frontend · same repo
zoom-out
mattpocock/skills · code · tag: code
deslop
cursor/plugins · Productivity · same category
nutritional-specialist
ailabs-393/ai-labs-claude-skills · Productivity · same category
framer-motion
pproenca/dot-skills · Productivity · same category
wordpress-elementor
jezweb/claude-skills · Productivity · same category
Keeps context tight: clean-code is the kind of skill you can hand to a new teammate without a long onboarding doc.
clean-code has been reliable in day-to-day use. Documentation quality is above average for community skills.
clean-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
clean-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
clean-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: clean-code is focused, and the summary matches what you get after install.
We added clean-code from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
clean-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
clean-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
clean-code reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 32