A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code and OpenCode.
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Updated
Feb 9, 2026 - JavaScript
A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code and OpenCode.
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
A playground of highly experimental prompts, Jinja2 templates & scripts for machine intelligence models from OpenAI, Anthropic, DeepSeek, Meta, Mistral, Google, xAI & others. Alex Bilzerian (2022-2025).
Official implementation of Meta Prompting for AI Systems (https://arxiv.org/abs/2311.11482)
This framework works as a form of user/machine calibration, with a focus on user-context and user-intent, deconstructing your ideas logically from A to B to Z.
Automatic Prompt Optimization Framework
In the midst of all the tools out there that you can possibly use to keep track of them. Here's a "shovel" that just works to try them all out.
State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more
A modular, polymorphic, multi-agent framework for meta-prompting.
Cursor IDE adaptation of glittercowboy/get-shit-done
Fork of Get Shit Done (TÂCHES) with multi-CLI support. Spec-driven development workflows for Claude, Copilot, and Codex with unified project state.
A structured execution protocol for echoes in AI systems. It includes a series of echoes designed to optimize, evaluate, and plan processes in conversational AI
Categorical foundations for AI meta-prompting with proven correctness and measurable quality improvements (100% on Game of 24)
An advanced guide to writing better prompts for ChatGPT, Claude, Gemini, and other LLMs. Learn structured techniques like meta-prompting, self-review, and context-rich design.
A plain text system prompt for a LLM that initializes a system prompt generator
An intelligent prompt optimizer that tailors your prompts for specific LLMs like Gemini, Claude (Anthropic), and ChatGPT using advanced prompt engineering techniques.
Professional prompt engineering collection for AI-assisted software development. 37+ specialized prompts for code review, testing, and development workflows with GPT-5 meta-prompting guides.
Artifical Ecology For Thought and Emergent Reasoning.
Spec-driven development for Claude Code — quality-first workflow with audit cycles and model profiles
Official implementation of Meta Prompting for AI Systems (https://arxiv.org/abs/2311.11482)
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