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Found 1,236 Skills
Iteratively improve skill frontmatter compliance using the Ralph loop pattern. USE FOR: run sensei, sensei help, improve skill, fix frontmatter, skill compliance, frontmatter audit, improve triggers, add anti-triggers, batch skill improvement, check skill tokens. DO NOT USE FOR: creating new skills (use skill-authoring), writing skill content, token optimization only (use markdown-token-optimizer), or non-frontmatter changes.
SQL patterns for query optimization, schema design, and data modeling
Performance patterns for Apollo caching, Redis, and CloudFront optimization
Evaluate, optimize, and enhance prompts using 58 proven prompting techniques. Use when user asks to improve, optimize, or analyze a prompt; when a prompt needs better clarity, specificity, or structure; or when generating prompt variations for different use cases. Covers quality assessment, targeted improvements, and automatic optimization across techniques like CoT, few-shot learning, role-play, and 50+ more.
Claude Code config optimization skill. Use when: - Editing CLAUDE.md, rules/, skills/, agents/, commands/ - User asks about config best practices - Checking optimization status - User says "claude code changelog" or "claude code updates" - User asks about new features or breaking changes in Claude Code
ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Use when optimizing inference performance, reducing model size, or deploying ML at the edge.
Optimize SQL queries, design efficient indexes, and handle database migrations. Solves N+1 problems, slow queries, and implements caching. Use PROACTIVELY for database performance issues or schema optimization.
Load PROACTIVELY when task involves optimizing speed, reducing bundle size, or improving responsiveness. Use when user says "make it faster", "reduce bundle size", "fix slow queries", "optimize rendering", or "check Core Web Vitals". Covers bundle analysis and tree-shaking, database query optimization (N+1, indexing), React rendering performance (re-renders, memoization), network waterfall optimization, memory leak detection, server-side performance, and Core Web Vitals (LCP, FID, CLS) improvement.
Repository structure optimization and multi-repo management with swarm coordination for scalable project architecture and development workflows. Use for structure analysis, template management, cross-repo synchronization, and architecture recommendations.
Load PROACTIVELY when task involves database design, schemas, or data access. Use when user says "set up the database", "create a schema", "add a migration", "write a query", or "set up Prisma". Covers schema design and normalization, ORM setup (Prisma, Drizzle), migration workflows, connection pooling, query optimization, indexing strategies, seeding, and transaction patterns for PostgreSQL, MySQL, SQLite, and MongoDB.
Systematic performance optimization and regression debugging for OneKey mobile app (iOS). Use when: (1) Fixing performance regressions - when metrics like tokensStartMs, tokensSpanMs, or functionCallCount have regressed and need to be brought back to normal levels, (2) Improving baseline performance - when there's a need to optimize cold start time or reduce function call overhead, (3) User requests performance optimization/improvement/debugging for the app's startup or home screen refresh flow.
Designs multi-layer caching strategy with edge CDN, server-side caching, cache invalidation, and CDN configuration. Use for "caching strategy", "CDN setup", "cache invalidation", or "performance optimization".