Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
中文简介正在准备中。当前显示原文说明。
React/Next.js performance optimization with 40+ rules in 8 categories
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
- Avoid sequential data fetching
- Use parallel data fetching
- Implement proper loading states
- Prefetch critical data
- Minimize client-side JavaScript
- Use dynamic imports
- Tree-shake unused code
- Analyze bundle with tools
- Use Server Components by default
- Minimize 'use client' directives
- Implement streaming where possible
- Cache server responses
- Use SWR or React Query
- Implement optimistic updates
- Handle loading/error states
- Cache API responses
- Avoid unnecessary re-renders
- Use React.memo strategically
- Implement useMemo/useCallback properly
- Virtualize long lists
- Implement proper cache headers
- Use ISR for dynamic content
- Cache database queries
- CDN caching strategies
- Split by route
- Lazy load below-fold content
- Dynamic import heavy libraries
- Preload critical chunks
- Use next/image
- Implement proper sizing
- Use modern formats (WebP, AVIF)
- Lazy load off-screen images
1. Identify optimization area
2. Check relevant category rules
3. Apply recommendations
4. Verify improvements
See scripts/ directory for automation helpers.
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Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
中文简介正在准备中。当前显示原文说明。
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
中文简介正在准备中。当前显示原文说明。
Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
中文简介正在准备中。当前显示原文说明。
Apache Airflow best practices for DAG authoring, testing, and production deployment
中文简介正在准备中。当前显示原文说明。
Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
中文简介正在准备中。当前显示原文说明。
Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
中文简介正在准备中。当前显示原文说明。