By rohitg00
Profile API endpoints to measure latencies and detect bottlenecks like N+1 queries or missing indexes, then run benchmarks on functions and modules with vitest or pytest for ops/sec, memory usage, comparisons, and prioritized optimization suggestions with impact estimates.
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npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin performance-monitorPersistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 41 MCP tools, 4 skills, real-time viewer.
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Complete developer toolkit for Claude Code
Linear issue tracking integration and workflow management
Development workflow analysis and optimization recommendations
Use this agent for comprehensive performance testing, profiling, and optimization recommendations. This agent specializes in measuring speed, identifying bottlenecks, and providing actionable optimization strategies for applications. Examples:\n\n<example>\nContext: Application speed testing
API endpoint benchmarking and performance reporting
Load testing and performance benchmarking with metrics analysis and bottleneck identification
AI-powered performance optimization - Interactive performance audit skill and automated agent with comprehensive bottleneck detection and optimization
Rigorous performance investigation workflow with baselines, profiling, and evidence-backed decisions
Analyze and optimize code performance