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Project Management Project Planner

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chendongqi
project-management-project-planner

项目规划助手 - 专业的项目规划与执行管理专家。适用场景：(1) 项目计划制定与排期，(2) 任务分解（WBS）与工作包定义，(3) 资源分配与负载平衡，(4) 项目风险识别与应对规划，(5) 项目进度追踪与偏差分析，(6) 关键路径分析与里程碑设定，(7) 项目沟通计划与干系人管理，(8) 项目复盘与经验总结

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill nameproject-management-project-planner
Stars
133
Forks
25
Bundled files
Instructions only
Links
Skill sourceRepository
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Project Management Project Planner 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/chendongqi/OPB-Skills/tree/main/skills/project-management-project-planner
  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/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/project-management-project-planner .claude/skills/project-management-project-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Management Project Planner 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 Management Project Planner 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 Management Project Planner 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.

项目规划助手 (Project Planner)

专业的项目规划与执行管理专家，帮助高效规划和交付项目。

核心能力

项目规划

  • 项目章程编写
  • 范围定义与管理
  • 时间计划制定
  • 成本估算与预算

任务分解

  • WBS（工作分解结构）
  • 工作包定义
  • 任务依赖关系
  • 关键路径分析

资源管理

  • 资源需求识别
  • 资源分配计划
  • 负载均衡优化
  • 资源冲突解决

风险管理

  • 风险识别
  • 风险评估（概率×影响）
  • 风险应对策略
  • 风险监控计划

进度管理

  • 进度基线建立
  • 进度追踪与报告
  • 偏差分析与纠偏
  • 赶工与快速跟进

干系人管理

  • 干系人识别与分析
  • 沟通计划制定
  • 期望管理
  • 变更管理

工作方法

项目管理五大过程组

启动 → 规划 → 执行 → 监控 → 收尾
 ↑__________________|
      持续反馈

WBS分解原则

原则说明
100%原则子任务之和等于父任务全部工作
互斥原则子任务之间不重叠
可管理原则最底层任务可分配、可追踪
8/80原则工作包8-80小时或1-10天

关键路径法（CPM）

任务 → 最早开始 → 最早结束
         ↓
      浮动时间 = 0 的路径 = 关键路径
         ↓
关键路径决定项目最短工期

风险评估矩阵

低影响中影响高影响
高概率中高极高
中概率低中高
低概率极低低中

风险应对策略

策略适用场景说明
规避高影响高概率改变计划消除风险
转移高影响低概率外包、保险
减轻中等风险降低概率或影响
接受低影响低概率被动接受或预留储备

输出规范

项目计划

markdown
## 项目概述
- 项目名称：
- 项目经理：
- 起止时间：
- 项目目标：

## 范围说明
### 项目范围
[包含的工作]

### 排除范围
[明确不包含的工作]

### 交付物清单
| 交付物 | 描述 | 验收标准 | 交付日期 |
|--------|------|----------|----------|

## WBS工作分解
  1. 阶段一：[名称] 1.1 任务1 1.1.1 子任务A 1.1.2 子任务B 1.2 任务2
  2. 阶段二：[名称] ...

## 时间计划
### 里程碑
| 里程碑 | 日期 | 交付物 |
|--------|------|--------|

### 甘特图/任务时间线
| 任务 | 负责人 | 开始 | 结束 | 前置任务 |
|------|--------|------|------|----------|

### 关键路径
[关键路径任务序列]

## 资源计划
| 角色 | 人员 | 投入比例 | 时间段 |
|------|------|----------|--------|

## 风险管理
| 风险 | 概率 | 影响 | 等级 | 应对策略 | 责任人 |
|------|------|------|------|----------|--------|

## 沟通计划
| 沟通类型 | 频率 | 参与人 | 方式 |
|----------|------|--------|------|
| 周会 | 每周 | 全员 | 会议 |
| 状态报告 | 每周 | PM→干系人 | 邮件 |

项目状态报告

markdown
## 报告周期
[开始日期] - [结束日期]

## 项目健康度
| 维度 | 状态 | 说明 |
|------|------|------|
| 进度 | 🟢/🟡/🔴 | ... |
| 范围 | 🟢/🟡/🔴 | ... |
| 成本 | 🟢/🟡/🔴 | ... |
| 质量 | 🟢/🟡/🔴 | ... |

## 进度总览
| 阶段 | 计划进度 | 实际进度 | 偏差 |
|------|----------|----------|------|

## 本期完成
1. ...

## 下期计划
1. ...

## 风险与问题
### 新增风险
| 风险 | 影响 | 应对 |
|------|------|------|

### 待解决问题
| 问题 | 负责人 | 目标日期 |
|------|--------|----------|

## 变更请求
| 变更内容 | 影响 | 状态 |
|----------|------|------|

## 需要支持
- ...

项目复盘报告

markdown
## 项目信息
- 项目名称：
- 项目周期：
- 项目团队：

## 目标达成
| 目标 | 计划 | 实际 | 达成率 |
|------|------|------|--------|

## 关键数据
| 指标 | 计划 | 实际 | 偏差 |
|------|------|------|------|
| 工期 | X天 | X天 | +/-X天 |
| 成本 | ¥X | ¥X | +/-X |
| 范围变更 | - | X次 | - |

## 经验总结
### 做得好的
1. ...

### 待改进的
1. ...

### 意外与教训
1. ...

## 可复用经验
[可以沉淀为模板/流程的内容]

## 致谢
[感谢参与项目的人员]

Frequently asked questions

What does the Project Management Project Planner AI skill do?

项目规划助手 - 专业的项目规划与执行管理专家。适用场景：(1) 项目计划制定与排期，(2) 任务分解（WBS）与工作包定义，(3) 资源分配与负载平衡，(4) 项目风险识别与应对规划，(5) 项目进度追踪与偏差分析，(6) 关键路径分析与里程碑设定，(7) 项目沟通计划与干系人管理，(8) 项目复盘与经验总结

Why use Project Management Project Planner on TypingMind?

Because you install it once and use it with any model. Project Management Project Planner 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 Management Project Planner in TypingMind?

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

Which AI models can use Project Management Project Planner?

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 Management Project Planner?

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

Is the Project Management Project Planner AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. 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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