Prompt refinement and workflow orchestration for Codex: turn vague ideas into scoped goals, reviewable SPECs, validation evidence, and PR-ready handoffs.

Retrieval-grounded prompt refinement as a Python library, CLI, and MCP server

MCP server that refines your coding prompts with real codebase context before your AI agent acts on them.

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.

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)

Automated prompt refinement pipeline that iteratively optimises LLM classification prompts using a classifier → evaluator → optimiser loop, targeting precision and recall thresholds on Azure OpenAI.

Codex插件，能将图片沉淀为可复用的视觉记忆，助你持续创作出美学风格一致的图片。The Codex plugin can turn images into reusable visual memories, helping you consistently create images with a unified aesthetic style.

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.

A framework for distilling abstract structures and presenting them with precise language. For precision prompting and communication.

MMPS - Multi-Modal Prompt Structuring System

Collaborative prompt refinement tool - AI asks questions, you provide answers, together you build better prompts

Nam-Cheol/namba-ai → AI Work Manager: Turn Vague Ideas into PR-Ready Specs & Evidence 2026