Automatic Prompt Optimization Framework
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Updated
Oct 21, 2026 - Python
Automatic Prompt Optimization Framework
Best Prompt Engineering Tools for 2026 AI Workflow Optimization
Top 10 Claude Prompt Optimization Frameworks 2026
A constitution generator for autonomous, agent-run projects: an interview-driven meta system prompt (and installable skill) that scaffolds a CEO-orchestrated sub-agent + skill + CLI architecture. Presented by MacroAlpha.io and Leowang.net
P2P — Prompt to Prompt: a prompt that writes prompts. Claude plugin; file edition for other models in releases.
A meta-prompting system that transforms raw prompts into production-ready, XML-structured prompts optimized for Claude Opus 4.6. 10 codified rules, 10-component framework, complexity-based routing — based on Anthropic's official best practices.
Turn Claude, ChatGPT, Gemini or Grok into a music prompt engineer for Suno v6, Google Lyria 3.5, ElevenMusic, Stable Audio, MiniMax and local models. Every claim marked official, community or unverified.
This project contains the original white paper for Language Construct Modeling (LCM) v1.13, authored by Vincent Shing Hin Chong. It introduces a novel framework for prompt-layered semantic control in large language models (LLMs), built upon the Meta Prompt Layering (MPL) structure. LCM formalizes a modular system of prompt orchestration, enabling
Open-source skills — shareable & installable
Turn any raw prompt into a production-ready, XML-structured prompt optimized for Claude Opus 4.8 - 11 rules, complexity-based routing, hard prompt: trigger.
Semantic Logic System v1.0 — A system that use language to construct and model LLMs.
Meta-prompt generator for AI video: give it a niche and a reference YouTube URL and it returns a reusable 33-section master prompt (variation engine, stages, audio, lighting, scene JSON, anti-fail rules).
THE META PROMPT 是一个专业化的提示词仓库,提供经过实战验证的结构化元提示词模板,旨在将通用大语言模型转化为具有增强可靠性和精确度的领域专用推理智能体。与传统提示词库不同,本项目专注于元级别的指令框架,支持系统化任务分解、基于角色的推理以及自我改进的智能体架构。
A meta-prompt that refactors any LLM prompt into a clearer, more structured, and higher-performing version using proven prompt engineering techniques.
The creator kit: 145 Claude Code commands, 23 skills and 5 agents that carry their own DTD grammar, laws and trust boundary. Creators for prompts, skills, hooks, commands, subagents, plans, MCP servers, workflows, tasks and filetypes. The Adiutor checks every answer against the DOCTYPE that produced it; the version is recognised, not typed.
🛠️ Optimize any raw prompt into a best-practice, production-ready prompt for Claude Opus 4.6 in seconds, enhancing clarity and effectiveness.
🚀 Optimize your prompts for AI systems easily and boost performance with intuitive tools and features designed for better results.
Meta-prompt framework for Claude. Interviews first, builds second, routes to the right artifact class.
Learn to construct highly effective prompts that unlock the full potential of advanced artificial intelligence systems. Master key techniques, structured frameworks, and optimization strategies to generate precise, high-quality responses every time.
Production-grade prompt generator combining 5 Circles validation + 18 Hacks optimization + optional Council mode (5 advisors, peer review, chairman synthesis). Universal LLM support: ChatGPT, Claude, Gemini, Qwen, DeepSeek. Domain-aware validation with compliance checks. 11 professional examples included. Karpathy Council methodology. MIT license.
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