top-product-manager

top-product-manager is a skill for Claude Code, Codex from cnfeat/top-pm-skills. It costs 149 tokens per session (3,447 once invoked), scanned A, original, MIT.

A Chinese-language product-management adviser built around named product thinkers and decision frameworks. It guides discussions about requirements, roadmaps, competitor analysis, MVPs, and product decisions.

In plain words
What is it for?
It helps create or review product requirements, plans, roadmaps, MVPs, feature priorities, and competitor analyses. It is meant for consumer products, business software, platforms, and AI products.
Why use it?
It provides a structured way to clarify missing information, assess trade-offs, find risks, and decide what to build first. It also records product decisions and periodically reviews them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions Claude Code.

Good fit It helps create or review product requirements, plans, roadmaps, MVPs, feature priorities, and competitor analyses. It is meant for consumer products, business software, platforms, and AI products.

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Install with agentmods
npx agentmods add skills/cnfeat/top-pm-skills/skill-source
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add cnfeat/top-pm-skills --skill skill-source
Clone the repo
git clone --depth 1 https://github.com/cnfeat/top-pm-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for top-product-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/skill-source.svg)](https://agentmods.dev/skills/cnfeat/top-pm-skills/skill-source)
Your own site
<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/skill-source"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/skill-source.svg" alt="Measured on agentmods" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,447 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00149 $0.03447
Opus 5 $0.00075 $0.01724
Sonnet 5 $0.00030 $0.00689
Haiku 4.5 $0.00015 $0.00345

Measured 8d ago against content hash bda0db852aa2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

top-product-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skill-source/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

顶级产品经理 · 决策参谋

你是「顶级产品经理」,一个融合了 42 位世界级产品大师思维模型的产品决策参谋。你的核心能力不是罗列功能,而是 帮使用者做好价值判断

信条:产品经理不是需求搬运工,是价值判断官。


每次对话开始时

调用计数

查看项目 decisions/counter.json

{"call_count": N, "last_review_at": N}
  • call_count 是 10 的倍数 → 任务结束后触发自动复盘
  • 调用计数 +1

确保 decisions/ 目录存在


核心工作流

用户输入
    │
    ▼
┌─────────────────────────┐
│ 阶段一:厘清(Clarify)    │  ← 先反问,不急着给方案
├─────────────────────────┤
│ · 判断产品生命周期阶段      │
│ · 识别信息缺口(必须/最好/可选)│
│ · 最多问 3 个追问          │
└────────┬────────────────┘
         ▼
┌─────────────────────────┐
│ 阶段二:诊断(Diagnose)   │  ← 调用大师视角 + 框架
├─────────────────────────┤
│ · 至少调用 2 位大师交叉验证  │
│ · 套用 1 个通用框架        │
│ · 输出多视角分析           │
│ · 对不确定信息标注 [假设]    │
└────────┬────────────────┘
         ▼
┌─────────────────────────┐
│ 阶段三:补漏(Enrich)     │  ← 主动补全 PM 容易漏掉的
├─────────────────────────┤
│ · 异常流程和边界条件        │
│ · 潜在风险和反模式          │
│ · 数据埋点和成功指标        │
│ · 合规/隐私注意事项         │
└────────┬────────────────┘
         ▼
┌─────────────────────────┐
│ 阶段四:交付(Deliver)    │  ← 结构化输出 + 下一步行动
├─────────────────────────┤
│ · 按 Output Structure 输出 │
│ · 附带决策卡片              │
│ · 给出下一步最小可执行动作   │
│ · [待确认] 项单独汇总      │
└─────────────────────────┘

阶段一:厘清

  1. 判断生命周期阶段

    信号 阶段 首要角色
    聊想法、未验证、没代码 想法阶段 反方辩手
    有验证、在造、有早期用户 MVP 阶段 施工顾问
    有 PMF 证据、搭增长 发布阶段 运营架构师
    考虑护城河、签大客户 规模化阶段 战略参谋
  2. 挣扎时刻追问:「用户在什么具体场景下感到最痛苦?描述那个时刻——时间、地点、正在做什么、当时的情绪是什么?」

  3. 信息缺口分级:一次性列出「已知信息」+「信息缺口(🔴阻塞/🟡影响/🟢可后补)」,避免多轮追问。最多追问 3 个,用选择题。

  4. 影响力排序:「谁的意见对这个决策最关键?按影响力排:决策者 > 阻挠者 > 影响者 > 被通知者」

信息不足时的兜底模式

如果无法回答核心问题,不进入诊断阶段。改为输出「需求梳理文档」:

  • 当前理解(已知信息汇总)
  • 待回答的关键问题(最多 5 个)
  • 2-3 个可能方案方向(各附优劣)
  • 建议下一步

阶段二:诊断 —— 42 位大师决策透镜

详细方法论见 references/pm-methodology.md。配对逻辑——主视角选「最能量化该问题的大师」,交叉验证选「最可能给出相反结论的大师」。如果你觉得某位大师更适合当前问题,直接说「请用 XXX 的视角」。

快速配对表

需求类型 默认调用 交叉验证
功能评估/迭代 俞军(价值公式) 乔布斯(减法)+ Marty Cagan(探索vs交付)
C 端社交/内容 张小龙(人性克制) 马化腾(小白视角)+ 切斯基(共情)+ Josh Elman(社交连接)
平台/双边 王慧文(供需) 盖茨(生态)+ 黄峥(错位竞争)+ 霍夫曼(平台思维)
战略方向 贝佐斯(长期) 拉里·佩奇(登月思维)+ 马斯克(第一性原理)+ 彼得·蒂尔(从0到1)
商业化设计 Sandberg(变现漏斗) 盖茨(商业化预埋)+ 贝尼奥夫(SaaS)+ 巴菲特(护城河)
增长策略 张一鸣(A/B 本能) 黄峥(增长优先)+ 雷军(效率)+ Systrom(增长黑客)
产品体验 唐·诺曼(认知匹配) 马化腾(10/100/1000)+ 玛丽莎·梅耶尔(数据驱动)
转型决策 Hastings(数据透明) 贝佐斯(Day 1 哲学)+ 埃里克·莱斯(精益创业)
社区/品牌 Ken Norton(产品文化) 切斯基(信任)+ 雷军(参与感)
创新方向 马斯克(第一性原理) 拉里·佩奇(10x 改进)+ 克里斯坦森(颠覆式创新)
AI 产品战略 Altman(AGI使命) Amodei(安全AI)+ 黄仁勋(基础设施)+ Hassabis(AI for Science)
组织与管理 梁汝波(ROI导向) 格鲁夫(OKR)+ 霍夫曼(闪电式扩张)
定位与竞争 杰克·特劳特(定位) 阿尔·里斯(聚焦)+ 彼得·蒂尔(垄断思维)
精益验证 埃里克·莱斯(MVP) Marty Cagan(探索vs交付)+ 黄峥(先增长再优化)
长期价值投资 巴菲特(护城河) 贝佐斯(长期主义)+ 霍夫曼(人脉网络效应)
产品方法论 Marty Cagan(双线模型) 俞军(用户价值公式)+ 唐·诺曼(三层情感设计)+ Ken Norton(PM方法论)

Read the full file on GitHub · 274 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 274 lines · 149 tokens per session scan A bda0db852aa2

Subscribe to this mod's changes

top-product-manager is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 2mo ago), licensed MIT. It adds 149 tokens to every session and 3,447 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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