An AI prompt optimizer for writing better prompts and getting better AI results.
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
End-to-end Generative Optimization for AI Agents
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.
A CLI tool for logging and analyzing Claude Code and Cursor ai-driven coding session.
A very fast, very minimal prompt optimizer
Agent skill for analyzing and improving prompts using 31 frameworks across 7 intent categories. Works with Claude Code, Gemini CLI, Cursor, Copilot, and 30+ Agent Skills compatible tools.
可同时输入多个初版提示词，开启多轮自动优化，连续得到高分后得到最终结果。
Top 10 Claude Prompt Optimization Frameworks 2026
Best Prompt Engineering Tools for 2026 AI Workflow Optimization
A unified, modular framework for prompt optimization
Finish-First Autonomous Agent Loop for Claude Opus 4.7 – 2026 Edition
MCP server for AI image generation and editing with automatic prompt optimization and quality presets. Supports Nano Banana (Gemini), OpenAI GPT Image, and BytePlus Seedream.
Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically
Open-source, bilingual AI video-prompt skill — rewrite ideas into model-ready text-to-video prompts. A portable Agent Skill (Claude Code, Codex, OpenClaw, Hermes); generate via Atlas Cloud — Seedance 2.0, Kling, Veo, Hailuo, Wan, Vidu, Gemini Omni, Grok Imagine.
AI agent that turns your rough ideas into perfect image generation prompts. 7-component formula, 70+ creative techniques, 9 domain modes.
SCOPE: Self-evolving Context Optimization via Prompt Evolution - A framework for automatic prompt optimization
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