A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
-
Updated
Mar 2, 2026 - JavaScript
A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
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
Cursor IDE adaptation of glittercowboy/get-shit-done
🐉 Hail Hydra — Multi-headed speculative execution framework for Claude Code. 7 AI agents, 3x faster, ~50% cheaper. Inspired by speculative decoding.
A modular, polymorphic, multi-agent framework for meta-prompting.
Fork of Get Shit Done (TÂCHES) with multi-CLI support. Spec-driven development workflows for Claude, Copilot, and Codex with unified project state.
Categorical foundations for AI meta-prompting with proven correctness and measurable quality improvements (100% on Game of 24)
A meta-prompting, context engineering and spec-driven development system for Claude Code
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
FlipSide — The dark side of small print. Upload any contract, flip the cards, see what the drafter intended you to miss. Built with Claude Opus 4.6 for the Claude Code Hackathon 2026.
Solve context rot in AI coding. Spec-driven development system for Claude Code, OpenCode, Gemini CLI, and Codex — with parallel subagents, atomic commits, and a live dashboard.
An intelligent prompt optimizer that tailors your prompts for specific LLMs like Gemini, Claude (Anthropic), and ChatGPT using advanced prompt engineering techniques.
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.
Claude Code skills for researchers, by a researcher. Humans + agents exploring what hasn't been built yet — without losing alignment along the way.
Add a description, image, and links to the meta-prompting topic page so that developers can more easily learn about it.
To associate your repository with the meta-prompting topic, visit your repo's landing page and select "manage topics."