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.
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npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin ai-prompt-labPersistent 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 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.
Intelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, background execution, subagent routing, output readability, user-decision questions, and plan-mode assessment
Testany AI/LLM 工具集:Prompt 优化
Prompt engineering techniques for accurate, grounded Claude responses — anti-hallucination workflow with citation-backed analysis