mirror of
https://github.com/davila7/claude-code-templates.git
synced 2026-09-19 01:30:23 +08:00
Dani
054c0e56e9
Removed the deprecated 'model: sonnet' field from command frontmatter to fix compatibility issues with Claude Code. Commands will now inherit the model from the active conversation instead of using a hardcoded deprecated model identifier. Changes: - Removed 'model: sonnet' from 142 command files across all categories - Commands now use default model inheritance behavior - Preserved 'model: claude-sonnet-4-5-20250929' in gemini-review.md (valid model) - 67 commands without model field remain unchanged This resolves the "model: sonnet not found" error reported in GitHub issues and aligns with Claude Code's recommended practice of letting commands inherit the conversation model. Affected categories: - Database/Supabase commands (8 files) - Documentation commands (8 files) - Deployment commands (11 files) - Setup commands (14 files) - Performance commands (8 files) - Team commands (14 files) - Security commands (6 files) - NextJS/Vercel commands (10 files) - Sync commands (14 files) - And more across other categories 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
83 lines
3.9 KiB
Markdown
83 lines
3.9 KiB
Markdown
---
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allowed-tools: Read, Bash, Grep, Glob
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argument-hint: [cache-type] | --browser | --application | --database
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description: Design and implement comprehensive caching solutions for improved performance and scalability
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---
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# Implement Caching Strategy
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Design and implement caching solutions: **$ARGUMENTS**
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## Instructions
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1. **Caching Strategy Analysis**
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- Analyze application architecture and identify caching opportunities
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- Assess current performance bottlenecks and data access patterns
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- Define caching requirements (TTL, invalidation, consistency)
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- Plan multi-layer caching architecture (browser, CDN, application, database)
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- Evaluate caching technologies and storage solutions
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2. **Browser and Client-Side Caching**
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- Configure HTTP caching headers and cache policies for static assets
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- Implement service worker caching strategies for progressive web apps
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- Set up browser storage caching (localStorage, sessionStorage, IndexedDB)
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- Configure CDN caching rules and edge optimization
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- Implement cache-first, network-first, and stale-while-revalidate strategies
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3. **Application-Level Caching**
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- Implement in-memory caching for frequently accessed data
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- Set up distributed caching with Redis or Memcached
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- Design cache key naming conventions and namespacing
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- Implement cache warming strategies for critical data
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- Configure cache expiration and TTL policies
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4. **Database Query Caching**
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- Implement query result caching for expensive database operations
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- Set up prepared statement caching and connection pooling
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- Design cache invalidation strategies for data consistency
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- Implement materialized views for complex aggregations
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- Configure database-level caching features and optimizations
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5. **API Response Caching**
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- Implement API endpoint response caching with appropriate headers
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- Set up middleware for automatic response caching
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- Configure GraphQL query caching and field-level optimization
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- Implement conditional requests with ETag and Last-Modified headers
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- Design cache invalidation for API data updates
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6. **Cache Invalidation Strategies**
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- Design intelligent cache invalidation based on data dependencies
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- Implement event-driven cache invalidation systems
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- Set up cache tagging and bulk invalidation mechanisms
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- Configure time-based and trigger-based invalidation policies
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- Implement cache versioning and rollback strategies
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7. **Frontend Caching Strategies**
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- Implement client-side data caching with libraries like React Query
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- Set up component-level caching and memoization
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- Configure asset bundling and chunk caching strategies
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- Implement progressive image loading and caching
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- Set up offline-first caching for PWAs
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8. **Cache Monitoring and Analytics**
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- Set up cache performance monitoring and metrics collection
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- Track cache hit rates, miss rates, and efficiency metrics
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- Monitor cache memory usage and storage optimization
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- Implement cache performance alerting and notifications
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- Analyze cache usage patterns and optimization opportunities
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9. **Cache Warming and Preloading**
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- Implement automated cache warming for critical data
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- Set up scheduled cache refresh and preloading strategies
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- Design on-demand cache generation for popular content
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- Configure cache warming triggers based on usage patterns
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- Implement predictive caching based on user behavior
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10. **Testing and Validation**
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- Set up cache performance testing and benchmarking
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- Implement cache consistency validation and testing
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- Configure cache invalidation testing scenarios
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- Test cache behavior under high load and failure conditions
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- Validate cache security and data isolation requirements
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Focus on implementing caching strategies that provide the most significant performance improvements while maintaining data consistency and system reliability. Always measure cache effectiveness and adjust strategies based on real-world usage patterns. |