Claude Code System Prompts (Piebald)
Prompt LibraryVersion-by-version teardown of Claude Code's system prompts and 27 built-in tool descriptions, updated with every release.
- system-prompt
- claude-code
- analysis
- prompt-engineering
LangGPT
A structured, modular prompt-template language designed for LLM agents — Chinese-origin community standard.
LangGPT is a structured prompt-template framework that breaks prompts into reusable sections (Role, Profile, Goal, Skills, Rules, Workflow). Created by Yunzhong Jiangshu in 2023 and published as arXiv:2402.16929, it is now so deeply adopted in the Chinese AI community that mainstream models produce LangGPT-style output when simply asked for it by name.
What it does
- Markdown template organizing a prompt into Role, Profile, Goal, Skills, Rules, Workflow, and Initialization sections
- Trigger-by-name usage: mainstream models (ChatGPT, Claude, DeepSeek, Gemini, Kimi, Qwen) already produce LangGPT-style output when asked
- Generator tools — LangGPT GPTs, Kimi+ LangGPT, PromptGPT — draft structured prompts for you
- Methodology published as arXiv paper 2402.16929, with a community example library
When to use it
Use it to turn ad-hoc role prompts into maintainable, versionable templates — especially for assistant-style agents where role, rules, and workflow need to stay separable.
Getting started
Nothing to install — copy the template from the README and fill in your role, or just ask any mainstream model to write a prompt the LangGPT way; the GPT-store and Kimi generators are linked in the README.
Things to know
Adoption claims center on the Chinese AI ecosystem; outside it, name-trigger behavior varies by model, and the README's self-description reads promotional.
Repository
langgptai/langgptCharted
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