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Pm Roadmap

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konglong87
pm-roadmap

Use when: 需要规划产品中长期发展、设定里程碑、对齐团队方向、制定季度/年度计划 Do NOT use when: 短期执行无需长期规划、方向已锁定无需路线图

Overview

Publisherkonglong87
RepositorysuperPM
Skill namepm-roadmap
Stars
86
Forks
8
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by konglong87 on GitHub. Read the source before you install it.

Installation

Install the Pm Roadmap 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/konglong87/superPM/tree/main/skills/03-growth-iteration/pm-roadmap
  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/konglong87/superPM.git /tmp/superPM
mkdir -p .claude/skills
cp -r /tmp/superPM/skills/03-growth-iteration/pm-roadmap .claude/skills/pm-roadmap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Roadmap 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 Pm Roadmap 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 Pm Roadmap 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.

Preamble

bash
echo "🗺️  产品路线图工具已启动"

# 检查前置文档
echo "📊 正在检查前置数据..."
if [ -f "docs/02-方案设计/PRD产品需求文档.md" ]; then
  echo "✅ PRD文档 - 已找到"
else
  echo "⏳ PRD文档 - 未找到"
fi

写入时边界

只讨论时不写文件,启动检查不创建目录。用户要求保存产物时,先确认当前产品、精确输出路径及已有文件的覆盖/追加选择;确认后仅在实际 Write 前创建该输出文件的父目录。完整安装可参见 skills/_shared/artifact-policy.md,单独安装本 skill 也按本段执行。


跨 Agent 交互规则

当流程要求与用户交互时:

  1. 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
  2. 如果当前环境不支持 AskUserQuestion,必须用普通聊天消息提出同样问题。
  3. 一次只问一个问题。
  4. 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
  5. 不得在用户回答前生成文档、写入 docs。
  6. 已有 docs 文件不能替代本轮用户回答。

执行流程

步骤 1: 明确产品愿景与战略目标

使用 AskUserQuestion 询问:

🎯 产品愿景与战略目标

产品愿景:产品最终要成为什么? 示例:成为XX领域最受信赖的平台

时间范围:您想规划多长时间的路线图?

A) 3个月(近期规划) B) 6个月(中期规划) C) 12个月(年度规划) D) 2-3年(长期规划) E) 其他(请手动输入)

💡 提示:首次规划建议从6个月开始

记录到变量 VISION 和 TIMEFRAME


步骤 2: 设定核心目标

🎯 各阶段核心目标:

将{TIMEFRAME}划分为2-4个阶段,每个阶段设定一个核心目标。

示例(电商产品6个月路线图):

阶段时间核心目标关键指标
阶段1第1-2月MVP上线验证DAU达到1万
阶段2第3-4月用户增长MAU达到10万
阶段3第5-6月商业变现GMV达到100万

您希望如何划分阶段?

A) 根据功能主题划分(基础设施→核心功能→增长→变现) B) 根据用户规模划分(冷启动→增长→规模化) C) 根据商业目标划分(验证→获客→变现) D) 自定义划分(请手动输入)


步骤 3: 规划各阶段里程碑

对每个阶段,详细规划里程碑:

📅 阶段1详细规划

阶段名称:{阶段名称} 时间范围:{起止时间} 核心目标:{目标描述}

关键里程碑:

里程碑时间交付物验收标准
M1第X周核心功能A上线完成XX功能,达标XX指标
M2第X周核心功能B上线完成XX功能,达标XX指标
M3第X周公测版本发布完成全流程验证

关键指标目标:

  • DAU目标:[X]万
  • 转化率目标:[X]%
  • NPS目标:[X]分

资源需求:

  • 前端:[X]人
  • 后端:[X]人
  • 设计:[X]人

是否调整阶段1的规划?

A) 阶段1规划合理,继续阶段2 B) 需要调整里程碑 C) 需要调整资源分配

逐个阶段确认。


步骤 4: 识别关键依赖与风险

⚠️ 关键依赖与风险分析:

外部依赖:

  • 第三方服务(支付、短信、地图等)
  • 资质合规(牌照、备案等)
  • 合作伙伴对接

内部依赖:

  • 关键人员(核心开发、设计师)
  • 技术基建(数据库、服务器)
  • 数据基础设施

主要风险:

风险概率影响应对措施
开发延期高里程碑延迟预留20%缓冲时间
政策变化中产品方向调整关注政策动态
竞品先发中市场空间压缩快速验证,快速迭代

是否还有其他风险需要补充?


步骤 5: 输出产品路线图

使用 Write 工具创建 docs/03-增长迭代/产品路线图.md:

markdown
# {产品名称} 产品路线图

## 一、产品愿景

**愿景**:{VISION}

**规划周期**:{TIMEFRAME}

**战略目标**:
1. {目标1}
2. {目标2}
3. {目标3}

---

## 二、阶段规划总览

| 阶段 | 时间 | 核心目标 | 关键指标 | 里程碑数 |
|------|------|---------|---------|---------|
| 阶段1 | M1-M2 | {目标} | {指标} | 3 |
| 阶段2 | M3-M4 | {目标} | {指标} | 3 |
| 阶段3 | M5-M6 | {目标} | {指标} | 2 |

---

## 三、详细里程碑

### 阶段1: {名称}(M1-M2)

**核心目标**:{描述}

**里程碑**:
1. **M1**(第X周):{交付物}
   - 验收标准:{标准}
2. **M2**(第X周):{交付物}
   - 验收标准:{标准}
3. **M3**(第X周):{交付物}
   - 验收标准:{标准}

**所需资源**:前端X人,后端X人,设计X人

---

## 四、关键依赖

| 依赖项 | 类型 | 状态 | 负责人 |
|--------|------|------|--------|
| {依赖项} | 外部/内部 | 已确认/待确认 | {负责人} |

## 五、风险与应对

| 风险 | 概率 | 影响 | 应对措施 |
|------|------|------|---------|
| {风险} | 高/中/低 | 高/中/低 | {措施} |

## 六、路线图变更记录

| 版本 | 日期 | 变更内容 | 原因 |
|------|------|---------|------|
| v1.0 | {日期} | 初始版本 | - |

---

**文档状态**: 产品路线图规划完成
**生成时间**: {时间戳}
**生成工具**: super-pm

步骤 6: 完成提示

✅ 产品路线图完成!

📄 已生成:docs/03-增长迭代/产品路线图.md

🎯 建议下一步:

A) 执行 /pm-iteration - 制定近期迭代计划 B) 执行 /pm-risk - 风险管控方案 C) 执行 /pm-roadmap - 查看/更新路线图


兜底机制

场景: 已有路线图

bash
if [ -f "docs/03-增长迭代/产品路线图.md" ]; then
  echo "⚠️ 检测到已有产品路线图"
fi

提供选项:查看/更新/重新规划。


注意事项

  1. 路线图应该聚焦于"为什么做"而非"怎么做"
  2. 每个里程碑必须可衡量
  3. 预留20%缓冲时间应对延期
  4. 路线图是动态文档,建议每月回顾更新

输出质量对比

✅ Good 示例:

- 有数据引用:「根据 Q4 数据,留存率从 35% 降至 28%」
- 有验证来源:「数据来源:Google Analytics, 2025-12-01」
- 有明确建议:「建议将新手引导步骤从 5 步减少至 3 步」

❌ Bad 示例:

- 模糊结论:「数据表明留存率有所下降」
- 无来源:「根据经验,这个功能很重要」
- 没有行动建议:「留存是个问题」

常见误区 / Red Flags — STOP

出现以下情况立即停止并回溯:

误区正确做法
使用"应该"、"大概"、"看起来"做结论必须基于实际数据和验证
未运行检查就声称已完成先验证,再陈述
因时间紧迫跳过关键步骤没有例外,时间紧更要严格
"这次应该没问题"的想法每次都要重新验证

产出质量检查 / Verification Checklist

  • 前置依赖已满足(输入文档/数据已收集)
  • 核心步骤已全部执行
  • 输出文档已生成到 docs/ 目录
  • 每个判断都有数据/证据支撑
  • 已推荐 2-3 个后续 skill

⚠️ 任何一项未通过 → 补全后再标记完成。


Frequently asked questions

What does the Pm Roadmap AI skill do?

Use when: 需要规划产品中长期发展、设定里程碑、对齐团队方向、制定季度/年度计划 Do NOT use when: 短期执行无需长期规划、方向已锁定无需路线图

Why use Pm Roadmap on TypingMind?

Because you install it once and use it with any model. Pm Roadmap 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 Pm Roadmap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/konglong87/superPM/tree/main/skills/03-growth-iteration/pm-roadmap. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Roadmap?

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 Pm Roadmap?

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

Is the Pm Roadmap AI skill free?

Yes. It is published on GitHub by konglong87 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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