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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Persistent 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
GitHub issue triage, creation, and management
Google Cloud Platform service configuration and deployment
npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin performance-monitorUse 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
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Analyze and optimize code performance