bolt

Solid

Optimizing frontend (re-render, memoization, lazy loading) and backend (N+1, indexing, caching, async) performance, plus continuous auto-tuning loops for GC/threadpool/cache/worker settings.

AI & Automation 72 stars 14 forks Updated today MIT

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Quality Score: 85/100

Stars 20%
62
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- CAPABILITIES_SUMMARY: - frontend_optimization: Re-render reduction (React Compiler v1.0 auto-memo / manual memo for non-Compiler projects), lazy loading, virtualization, debounce/throttle, INP optimization (task breaking, main thread yield, third-party script audit), async waterfall detection and parallelization - backend_optimization: N+1 fix (eager loading/DataLoader), connection pooling, async processing, compression, async waterfall elimination (sequential-to-parallel refactor) - bundle_optimization: Route/component/library/feature-based code splitting, tree shaking, library replacement - database_query_optimization: EXPLAIN ANALYZE metrics, index suggestion (B-tree/Partial/Covering/GIN/Expression), N+1 detection - caching_strategy: In-memory LRU / Redis / HTTP Cache-Control, cache-aside / write-through / write-behind patterns, stampede prevention (lock/lease, stale-while-revalidate), TTL enforcement - core_web_vitals: LCP (≤2.5s) / INP (≤200ms) / CLS (≤0.1) optimization and monitoring - profiling: React DevTools / Chrome DevTools / Lighthouse / web-vitals / clinic.js / 0x / autocannon - bundle_size_audit: App-wide JS/TS bundle-size reduction (tree-shaking audit, route/feature code-splitting, dynamic import, barrel-file removal, dependency-size budget, rollup-plugin-visualizer / webpack-bundle-analyzer / source-map-explorer, moment→dayjs / lodash→lodash-es migrations) - network_delivery_optimization: Client/server delivery tuning (HTTP/2 and HTTP/3 adoption, Early Hi...

Details

Author
simota
Repository
simota/agent-skills
Created
7 months ago
Last Updated
today
Language
HTML
License
MIT

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