How dsmsmj/vercel-labs-agent-skills works
This repository packages agent skills rather than a conventional application. The main workflow is an agent recognizing a user’s React/Next.js performance task and applying the skill’s prioritized rules; separate skills support UI audits and Vercel deployment. The React skill’s rules span async work, bundles, server/client data fetching, re-renders, rendering, JavaScript, and advanced patterns. The README documents the deployment workflow, but implementation details beyond the listed script are not inferred here.
Main entry points: vercel-deploy-claimable/SKILL.md Deploy Skill · react-best-practices/SKILL.md Performance Skill · rules Optimization Rules · web-design-guidelines/SKILL.md Design Guidelines
Components 8
React Performance
- Performance Skill
skills/react-best-practices/SKILL.md - Optimization Rules
skills/react-best-practices/rules
UI Review
- Design Guidelines
skills/web-design-guidelines/SKILL.md
Vercel Deployment
- Deploy Skill
skills/claude.ai/vercel-deploy-claimable/SKILL.md - Deploy Script
skills/claude.ai/vercel-deploy-claimable/scripts/deploy.sh
Other components
- User
- Coding Agent
- Vercel Service
Connections 9
- User → Coding Agent: requests guidance
README.md - Coding Agent → Performance Skill: selects for optimization
README.md - Performance Skill → Optimization Rules: applies guidelines
README.md - Coding Agent → Design Guidelines: selects for UI audit
README.md - User → Coding Agent: requests deployment
README.md - Coding Agent → Deploy Skill: selects for deployment
README.md - Deploy Skill → Deploy Script: runs deployment
- Deploy Skill → Vercel Service: uploads project
README.md - Vercel Service → Coding Agent: returns deployment links
README.md