By rohitg00
Profile codebases in JavaScript, Python, and Go to uncover performance bottlenecks, resource leaks, scalability issues, and anti-patterns in databases, memory, async code, frontend, and networks with quantified impact reports. Then automatically optimize hotspots by applying caching, batching, algorithmic improvements, and async patterns to files, functions, or modules.
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npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin perf-profilerPersistent 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
Profile application performance with CPU, memory, and execution time analysis
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
Profile API endpoints and run benchmarks to identify performance bottlenecks
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