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Project Os

Community
Peiiii
project-os

AI project OS for autonomous loop, automated orchestration, and rule-driven execution.

Overview

PublisherPeiiii
Repositoryskild
Skill nameproject-os
Stars
115
Forks
10
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Peiiii on GitHub. Read the source before you install it.

Installation

Install the Project Os AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Peiiii/skild/tree/main/skills/project-os
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Peiiii/skild.git /tmp/skild
mkdir -p .claude/skills
cp -r /tmp/skild/skills/project-os .claude/skills/project-os
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Os in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Project Os on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Project Os is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Project OS

用于在新项目中快速落地“开发规范 + 迭代日志 + 发布闭环”的通用体系(Project OS),面向未来演进为可自治、可编排、自动驱动研发流程的 AI 操作系统。

三段式定位

  1. 自治闭环
    覆盖需求—实现—验证—发布—线上冒烟—复盘的端到端闭环,系统自动推动流程完成并形成可追踪证据链。

  2. 自动化编排
    将研发流程拆解为可编排的步骤与指令(commands/skills/workflows),以最小人工干预串联执行、回滚与验收。

  3. 规则驱动执行
    所有行为由 Rulebook 统一约束与裁决,确保执行一致性、合规性与可审计性;如需例外必须显式声明并记录。

适用场景

  • 想把一套严格交付流程迁移到其他项目。
  • 需要在团队内统一验证/冒烟/发布规范。

启用方式(必须先初始化才生效)

本 Skill 安装后不会自动生效,首次使用时需要初始化;初始化完成后规则与流程才会被执行。

初始化流程(首次使用)

  1. 用户安装本 Skill 并开始与 agent 对话。
  2. agent 检测到目标项目尚未初始化(如缺少 AGENTS.md/commands/docs/logs)。
  3. agent 主动提示初始化必要性与影响,并请求确认。
  4. 用户确认后,agent 自动完成初始化并反馈结果。

初始化会做什么

  • 生成/更新 AGENTS.md(若已存在,则合并而非覆盖)
  • 生成/更新 commands/commands.md
  • 生成/更新 docs/logs 与 docs/workflows
  • 保证规则、指令索引、日志制度完整落地

手动初始化(仅作为兜底)

将本 Skill 的模板复制到目标项目根目录(若已有文件,需合并而非覆盖):

bash
cp -R <skill>/assets/commands ./commands
cp -R <skill>/assets/docs ./docs
cp <skill>/assets/AGENTS.template.md ./AGENTS.md

关键约束

  • “完成所有/完成全部”默认执行完整上线闭环(migrations -> deploy -> 线上冒烟)。
  • 冒烟测试默认使用非仓库目录环境,禁止写入仓库子目录。
  • 每次开发阶段结束必须完成 build/lint/tsc + 冒烟(如适用)。

扩展与维护

  • 新增/修改指令:更新 commands/commands.md 并同步 AGENTS 索引。
  • 新增/修改规则:只在 AGENTS 的 Rulebook 维护。
  • 发布流程统一写入 docs/workflows/npm-release-process.md。

模板索引

  • assets/AGENTS.template.md
  • assets/commands/commands.md
  • assets/docs/logs/TEMPLATE.md
  • assets/docs/logs/README.md
  • assets/docs/workflows/npm-release-process.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Project Os AI skill do?

AI project OS for autonomous loop, automated orchestration, and rule-driven execution.

Why use Project Os on TypingMind?

Because you install it once and use it with any model. Project Os is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Project Os in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Peiiii/skild/tree/main/skills/project-os. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Project Os?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Project Os?

As many as you like. As long as a model supports skills, you can use Project Os with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Project Os AI skill free?

Yes. It is published on GitHub by Peiiii under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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