By rohitg00
Profile code bottlenecks and bundle bloat, apply targeted optimizations using Amdahl's Law, measure before/after runtime performance and size reductions, and review documented trade-offs.
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npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin optimizePersistent 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
Analyze and optimize code performance
Get comprehensive performance optimization recommendations
Performance analysis, profiling, and optimization recommendations
Resource optimization and performance monitoring toolkit for efficient Claude Code workflows
Autonomous experiment loop that optimizes any file by a measurable metric. 5 slash commands, 8 evaluators, configurable loop intervals (10min to monthly).
Analyze and optimize code performance