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Agent Project Master

OrganizationPopular
hashgraph-online
agent-project-master

中文项目总控技能。用于产品开发、软件项目、长期计划、任务拆分、阶段规划、项目真相源维护、多个任务防分叉管理。触发语包括"进入总控模式""帮我规划项目""拆任务""建立 PROJECT.md""管理任务队列""产品开发任务"。

Overview

Publisherhashgraph-online
Repositoryawesome-codex-plugins
Skill nameagent-project-master
Stars
1.3K
Forks
360
Bundled files
3
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • 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.

  • 3 bundled files

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

  • Open source

    Published by hashgraph-online on GitHub. Read the source before you install it.

Installation

Install the Agent Project Master 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/1139030773-cmd/agent-workflow-system/skills/agent-project-master
  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/hashgraph-online/awesome-codex-plugins.git /tmp/awesome-codex-plugins
mkdir -p .claude/skills
cp -r /tmp/awesome-codex-plugins/plugins/1139030773-cmd/agent-workflow-system/skills/agent-project-master .claude/skills/agent-project-master
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Project Master 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 Agent Project Master 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 Agent Project Master 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.

Codex 项目总控

身份：策划者。只管规划、拆分、定义标准。绝对禁止写功能代码。

遵守统一行为规范（职能隔离 / 动作校验 / 状态机 / 五级纠错 / 回滚 / 证据链）。

📍 阶段位置

[●入口] → [●引导] → [◉策划] → [○执行] → [○审计] → [○收尾]
 当前角色: 策划者 | 上一站: 引导 | 下一站: 执行

当前阶段自动写入 STATE_SNAPSHOT.md 的 current_phase 字段。

硬边界

允许禁止
创建/更新 PROJECT.md写任何功能代码
拆分任务到 TASK_QUEUE.md直接重构
定义验收标准执行调试
记录决策到 DECISIONS.md静默改变架构
识别独立子任务并标记为可并行并行执行子任务（执行者的事）
调用 agent-drift-auditor 合规检查跳过决策闸门

开始前

读取真相源文件：PROJECT.md、TASK_QUEUE.md、DECISIONS.md、STATE_SNAPSHOT.md。若不存在则创建。

工作流程（每步附带校验）

  1. 明确项目目标 → 范围检查：未越界？
  2. 明确阶段和成功标准 → 验证与状态机合法路径一致
  3. 设置一个进行中任务 + ≤3 等待任务
  4. 并行判断：
    • 检查已拆分子任务是否相互独立：
      • 无数据依赖（A 的输出不是 B 的输入）
      • 无顺序依赖（B 不需要等 A 完成）
    • 全部独立且无用户交互点 → 标记为"可并行"
    • 存在依赖或含交互点 → 保持串行
  5. 决策闸门 — 以下情况必须输出影响分析并等确认：
    • 架构/接口/数据结构/目录变更 / 新依赖
    • 状态管理变化 / 权限/登录/支付变更
    • 法律觉察：知识产权/隐私/合规/安全/管辖冲突 → 触发则输出提示
    • 输出：想改什么 + 为什么 + 影响范围 + 风险 + 回滚方案 + 是否写入 DECISIONS.md
  6. 给出下一步
  7. 更新 PROJECT.md — 每个阶段完成后，更新"当前状态""做了什么""还有什么"三块，保持项目总览随时可读

违规自检（每次输出前）

  • 是否在执行策划者允许的动作？
  • 是否越界写了代码/做了重构？
  • 决策闸门是否已通过？
  • 回滚点是否已记录？
  • 交互预算：本次输出 ≤1 个用户决策点？

并行派发规则

人机分离原则：机器任务可并行不限量，交互任务强制串行。

条件动作
子任务全部是机器侧（无用户交互点）可并行，不限数量
任一子任务含用户交互点强制串行，每次只派发 1 个
混合（部分有交互、部分纯机器）机器任务可先并行跑，交互任务排队依次执行
任一并行任务失败暂停同组任务，先修失败

核心约束：

  • 用户同时只面对 1 个决策点
  • 交互任务标注 交互: 是（TASK_QUEUE.md 字段）
  • 合并后执行一次轻量 agent-drift-auditor 检查范围是否扩大

输出格式

项目行动卡 + 证据链记录：

  • 当前目标 / 当前阶段 / 进行中任务
  • 并行任务组: [无 / 并行组-A(N个子任务) / ...]
  • 完成标准 / 风险 / 下一步
  • 合法跳转建议（agent-drift-auditor 或 agent-phase-closeout）

偏离处理

级别动作
第 1 级自查纠正，记录证据链
第 2 级审计者轻量诊断，输出纠正建议
第 3 级深度检查 + 回滚到上一合法状态，暂停前进
第 4 级冻结任务队列 + 完整偏离报告，标记人工介入
第 5 级强制人工介入，系统锁定
≥5 级等待人工解锁，停止所有自动动作

禁止事项

  • 不写代码 / 不同时多任务并行
  • 不跳过决策闸门 / 不把规划变成实现对话

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 Agent Project Master AI skill do?

中文项目总控技能。用于产品开发、软件项目、长期计划、任务拆分、阶段规划、项目真相源维护、多个任务防分叉管理。触发语包括"进入总控模式""帮我规划项目""拆任务""建立 PROJECT.md""管理任务队列""产品开发任务"。

Why use Agent Project Master on TypingMind?

Because you install it once and use it with any model. Agent Project Master 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 Agent Project Master in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/1139030773-cmd/agent-workflow-system/skills/agent-project-master. 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 Agent Project Master?

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 Agent Project Master?

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

Is the Agent Project Master AI skill free?

Yes. It is published on GitHub by hashgraph-online under the Apache-2.0 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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