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Found 6 Skills
Identify, validate, and ship production-safe Node.js optimizations with execution time as the primary objective. Use when users ask to reduce latency (p50/p95/p99), improve throughput, and then reduce CPU/memory/event-loop lag/FD pressure or retry amplification, using one-PR-per-improvement workflows with benchmarks.
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
When throughput or latency is pipeline-limited, identify the single binding constraint and exploit, subordinate, elevate, then recheck—ignore non-constraints.
Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization. Provides cost breakdowns, latency hotspots, and configuration recommendations. Use for "cost reduction", "performance optimization", "latency improvement", or "efficiency".
Use when explicitly invoked or when a concrete latency constraint requires minimizing wall-clock agent time without reducing accuracy.
Prompt caching for Claude API to reduce latency by up to 85% and costs by up to 90%. Activate for cache_control, ephemeral caching, cache breakpoints, and performance optimization.