Retrieval-grounded prompt refinement as a Python library, CLI, and MCP server
A universal, client-side AI prompt engineering tool that enhances your prompts using local or cloud-based AI models. Transform basic prompts into detailed, professional-grade instructions without sending your data to third-party servers.
Automated prompt refinement pipeline that iteratively optimises LLM classification prompts using a classifier → evaluator → optimiser loop, targeting precision and recall thresholds on Azure OpenAI.
A collaborative LLM system that uses OpenAI and Google Gemini to iteratively refine prompts until both models agree on the quality. Features file I/O, markdown comparison, and robust error handling.
MCP server that refines your coding prompts with real codebase context before your AI agent acts on them.
Claude Code skill that silently refines every prompt for better results (auto mode) and lets you generate optimized prompts as text with /optimize (manual mode)
Collaborative prompt refinement tool - AI asks questions, you provide answers, together you build better prompts
A framework for distilling abstract structures and presenting them with precise language. For precision prompting and communication.
MMPS - Multi-Modal Prompt Structuring System
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