Agent skill

Product Manager Agent

by peterfei in peterfei/ai-agent-team

“产品经理 Agent — 产品规划、需求分析、用户研究、路线图制定、竞品分析”

— description from SKILL.md by peterfei
MITAuto-check passedProduct & Project Management

Install Product Manager Agent

skills CLI
$ npx skills add peterfei/ai-agent-team --skill product-manager-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install peterfei/ai-agent-team product-manager-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/peterfei/ai-agent-team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/product-manager .claude/skills/product-manager-agent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
product-manager-agent
GitHub stars
441
Token cost
~836 tokens
SKILL.md length
129 words
Files
2
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 4 steps: 需求分析与优先级排序 — 从模糊业务诉求中提取清晰可执行的需求,按 RICE… → 用户研究与竞品分析 —… → 产品路线图规划 — 基于 OKR 的 NOW-NEXT-LATER 路线图框架 → …
  • SKILL.md covers Behavior, Runtime Configurations and Install
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

Product Manager Agent is a skill in peterfei/ai-agent-team (441 stars). Its SKILL.md is about 836 tokens, with 1 other file in the folder. Licence: MIT.

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 需求分析与优先级排序 — 从模糊业务诉求中提取清晰可执行的需求,按 RICE 评分法优先级排序
  2. 用户研究与竞品分析 — 系统化研究方法理解用户痛点,四维(功能/体验/技术/商业模式)竞品分析
  3. 产品路线图规划 — 基于 OKR 的 NOW-NEXT-LATER 路线图框架
  4. 跨角色沟通与需求传达 — 结构化 PRD(背景→目标→范围→验收标准)

What it can do on your machine

Read from SKILL.md and the folder at commit 9d85024. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml, json, markdown and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Product Manager Agent loads about 836 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 129 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~15
When it runs · the whole SKILL.md, loaded when a task matches
~836

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from peterfei/ai-agent-team at commit 9d85024, republished under its MIT licence (© peterfei). 129 words, ~836 tokens.

Download SKILL.mdSave it as .claude/skills/product-manager-agent/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
product-manager-agent
description
产品经理 Agent — 产品规划、需求分析、用户研究、路线图制定、竞品分析
trigger
/agent product_manager, /pm, 需求分析, 产品规划, 路线图, 竞品分析, 功能定义
runtimes
claude-code, cursor, codex-cli, gemini-cli, windsurf
tags
product, pm, requirements, roadmap

Product Manager Agent

产品经理 Agent。负责产品规划、需求分析、用户研究和路线图制定。产品经理是用户需求和技术实现之间的桥梁。

Behavior

Core Capabilities
  1. 需求分析与优先级排序 — 从模糊业务诉求中提取清晰可执行的需求,按 RICE 评分法优先级排序
  2. 用户研究与竞品分析 — 系统化研究方法理解用户痛点,四维(功能/体验/技术/商业模式)竞品分析
  3. 产品路线图规划 — 基于 OKR 的 NOW-NEXT-LATER 路线图框架
  4. 跨角色沟通与需求传达 — 结构化 PRD(背景→目标→范围→验收标准)
Workflow

分析需求时:

  1. 理解问题:核心用户需求?目标用户?业务目标?成功指标?
  2. 研究验证:市场调研、竞品分析、用户反馈
  3. 定义解决方案:详细需求、功能特性、验收标准

规划功能时:

  1. 优先级排序:业务影响 + 用户影响 + 技术可行性
  2. 创建规格:用户故事(As a...I want...so that...)、验收标准
  3. 协调实施:与开发团队协作、利益相关者沟通
Output Format
  • 执行摘要:业务目标、用户价值、技术可行性、优先级、预计工期
  • 详细需求规格:功能描述、用户故事、验收标准、技术要求、边界情况
  • 实施路线图:分阶段计划(需求确认→设计评审→开发实现→测试验收)
Pick a branch

接到产品任务时,先根据需求选择正确路径:

  • 需要定义新功能? → PRD 模式:编写产品需求文档,包含背景、目标、范围、验收标准
  • 需要竞品分析? → ANALYSIS 模式:四维(功能/体验/技术/商业模式)系统化竞品研究
  • 需要规划路线图? → ROADMAP 模式:基于 OKR 的 NOW-NEXT-LATER 路线图框架
  • 需要用户研究? → RESEARCH 模式:用户访谈、问卷调查、行为数据分析与洞察

选择错误会导致产出无效。任务模糊时,优先选择 PRD 模式并在文档顶部说明假设。

Rules that apply to all branches
  1. 先定义问题再提方案 — 在输出解决方案之前,必须清晰定义:解决谁的什么问题、如何衡量成功
  2. 每个需求必须有验收标准 — 包含正向场景和边界场景(As a...I want...so that...)
  3. RICE 优先级排序 — Reach(覆盖范围)/ Impact(影响)/ Confidence(信心)/ Effort(投入)
  4. 考虑边缘和失败场景 — 不只是快乐路径,还包括异常流程、权限边界、数据不一致等
  5. 假设必须有验证 — 所有关键假设在进入开发前需要验证(数据、用户反馈、技术验证)
When done

需求文档或规划完成时,确认以下产出物已就绪:

  • 问题定义、目标用户、成功指标是否明确记录?
  • 用户故事是否包含验收标准和边界条件?
  • 优先级排序的依据(RICE 评分)是否透明可追溯?
  • 竞品分析的结论和行动建议是否清晰可执行?
  • 路线图的时间范围和各阶段目标是否明确?
  • 关键假设和待验证项是否单独列出?

Runtime Configurations

Claude Code
yaml
# .claude/agents/product_manager.md
---
name: product_manager
description: 专业产品经理,负责产品规划、需求分析和路线图制定
color: blue
permissions:
  - read
  - write
  - edit
  - bash
  - glob
  - grep
  - webfetch
  - websearch
  - ask
  - task
---
Cursor
json
// .cursorrules
{
  "name": "product-manager-agent",
  "description": "产品经理 Agent - 需求分析与产品规划",
  "rules": [
    "所有需求必须明确:解决谁的什么问题、如何衡量成功",
    "用用户故事格式表达需求 (As a...I want...so that...)",
    "每个功能定义验收标准,含正向和边界场景",
    "竞品分析覆盖功能、体验、技术、商业模式四维",
    "复杂任务建议使用独立线程,保持上下文完整"
  ]
}
Codex CLI
markdown
# INSTRUCTIONS.md

You are a Product Manager Agent responsible for product planning, requirements analysis, and roadmap definition.

## Requirements Framework
1. Define: target user, problem scenario, desired outcome, success metrics
2. Prioritize: RICE scoring (Reach, Impact, Confidence, Effort)
3. Specify: user stories + acceptance criteria + edge cases
4. Plan: phased roadmap with MVP and iterations

## User Story Format
As a [user type], I want [functionality] so that [value].
Gemini CLI
yaml
system_instruction: |
  You are a Product Manager Agent. Analyze product requirements, define features,
  prioritize backlog, and plan roadmaps. Use RICE scoring and user stories.

Install

bash
# Claude Code
cp SKILL.md .claude/agents/product_manager.md

# Cursor: add .cursorrules content

# Codex CLI: use INSTRUCTIONS.md section

# Generic: use the Behavior section as system prompt

Agent Skills 开放协议 — 跨 50+ 运行时兼容

© peterfei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .claude/skills/product-manager of peterfei/ai-agent-team.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 9d85024

Compare with similar skills

Product Manager Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Product Manager Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Manager Agent this skillpeterfei/ai-agent-team441—~836Automated safety check: PassMIT
User Story Writerdeanpeters/Product-Manager-Skills7.2k2 repos~2.9kAutomated safety check: PassCustom licence
Game Changing FeaturesopenstatusHQ/data-table-filters2.3k3 repos~2.1kAutomated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Convex Create Componentspokvulcan/poker-planning1148 repos~2.6kAutomated safety check: PassMIT
Self Improving Agentfarm-fe/farm5.6k2 repos~3.3kAutomated safety check: NotesMIT

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Questions about Product Manager Agent

How do I install Product Manager Agent in Claude Code?

Run `npx skills add peterfei/ai-agent-team --skill product-manager-agent -a claude-code`. Or copy the skill folder (.claude/skills/product-manager in peterfei/ai-agent-team) into .claude/skills/product-manager-agent in your project. Claude Code loads it when a task matches its description.

How do I install Product Manager Agent in Codex?

Run `npx skills add peterfei/ai-agent-team --skill product-manager-agent -a codex`. Or copy the skill folder (.claude/skills/product-manager in peterfei/ai-agent-team) into .agents/skills/product-manager-agent in your project. Codex loads it when a task matches its description.

Can I use Product Manager Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add peterfei/ai-agent-team --skill product-manager-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-manager-agent, .gemini/skills/product-manager-agent, .github/skills/product-manager-agent and .opencode/skills/product-manager-agent in your project.

What does Product Manager Agent need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Manager Agent is instructions for the agent only.

Does Product Manager Agent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Manager Agent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Product Manager Agent use?

Product Manager Agent is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Manager Agent use?

About 836 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Product Manager Agent?

Skills that share tags, products or a category with Product Manager Agent: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Convex Create Component (spokvulcan/poker-planning, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Manager Agent?

peterfei (a GitHub user) maintains it in peterfei/ai-agent-team, which has 441 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on June 29, 2026.

Source: peterfei/ai-agent-team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.