Systematic approach to measuring, analyzing, and optimizing application performance.
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 performance-profilingCompatible with
Supported agents
Covers Core Web Vitals (LCP, INP, CLS) with target thresholds and measurement stages from development through production
Provides a 4-step profiling workflow: establish baseline, identify bottleneck, apply fix, validate improvement
Includes tool selection guidance for specific problems (Lighthouse for page load, DevTools for runtime and memory, bundle analyzers for code size)
Documents common runt
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionperformance-profilingExecute the skills CLI command in your project's root directory to begin installation:
epx add sickn33/antigravity-awesome-skills --skill performance-profilingFetches performance-profiling 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/performance-profiling
Restart Cursor to activate performance-profiling. Access via /performance-profilingin 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.
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Solid pick for teams standardizing on skills: performance-profiling is focused, and the summary matches what you get after install.
Useful defaults in performance-profiling — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: performance-profiling is the kind of skill you can hand to a new teammate without a long onboarding doc.
performance-profiling has been reliable in day-to-day use. Documentation quality is above average for community skills.
performance-profiling fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in performance-profiling — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added performance-profiling from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend performance-profiling for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
performance-profiling has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for performance-profiling matched our evaluation — installs cleanly and behaves as described in the markdown.
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