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By rohitg00
Optimize AI prompts for Claude Code by analyzing clarity and specificity, scoring issues, rewriting structured improvements, and testing against happy paths, edge cases, adversarial scenarios with quality reports and targeted fixes.
npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin ai-prompt-labShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Analyze and optimize AI prompts for better results
Expert Prompt Engineer with Context Engineering, Meta-Prompting, Chain-of-Thought, Few-Shot, Agent Design, 50+ Template Library, and A/B Testing
Agents specialized in prompt engineering and AI interaction. Focuses on effective prompt design and AI model optimization.
Testany AI/LLM 工具集:Prompt 优化
Prompt engineering techniques for accurate, grounded Claude responses — anti-hallucination workflow with citation-backed analysis
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
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
Find and remove dead code across the codebase
Generate comprehensive unit tests for any function or module
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