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structured-prompts

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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

  • Updated Jan 30, 2026
  • Jupyter Notebook

Aura-Frog Cursor provides a structured, command-based workflow for AI-assisted development in Cursor IDE. It replaces ad-hoc prompting with clear workflows, embedded instructions, and guided steps to improve analysis, implementation, and documentation quality.

  • Updated Feb 14, 2026
  • Shell

Multi-agent AI skill orchestration — 13 skills, 7 lifecycle phases, from idea to post-release. Works with Claude Code, Codex, Gemini CLI, Cursor, Windsurf, OpenCode, and any agent that reads Markdown or speaks MCP.

  • Updated May 26, 2026
  • Python

A new package is designed to facilitate structured evaluation of a system's performance comparison between optimistic and pessimistic approaches. It takes a textual description or data snippet as inpu

  • Updated Dec 21, 2025
  • Python

Production-grade prompt frameworks for frontier LLMs. Structured: Context → Constraints → Output Schema → Examples. Newsletter-tested on GPT, Claude, Grok, Gemini. Deterministic results. JSON/MD. Double and triple-checked. Copy-paste ready. MIT.

  • Updated Apr 5, 2026

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