ai-agent-team: Skill for Claude Code

.claude/skills/product-manager/SKILL.md

product-manager-agent is a skill for Claude Code from peterfei/ai-agent-team. It costs 24 tokens per session (1,450 once invoked), scanned A, original, MIT.

A product-planning role focused on requirements, user research, competitor analysis, and roadmaps. A roadmap is a staged plan showing what a product team intends to do over time.

In plain words
What is it for?
Use it to write product requirements, compare competitors, research users, prioritize features, define acceptance criteria, and plan product roadmaps.
Why use it?
It turns unclear business requests into defined user problems, requirements, acceptance checks, priorities, and implementation stages.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions Claude Code; mentions Codex.

This is peterfei/ai-agent-team's own configuration. It tells Claude Code how to work on ai-agent-team itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-agent-team configures →

Reuse

Borrowing it

Nothing to install: this file belongs to peterfei/ai-agent-team. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/peterfei/ai-agent-team/main/.claude/skills/product-manager/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/peterfei/ai-agent-team

Made for: Claude Code.

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 product-manager-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/peterfei/ai-agent-team/product-manager/github.svg)](https://agentmods.dev/skills/peterfei/ai-agent-team/product-manager)
Your own site
<a href="https://agentmods.dev/skills/peterfei/ai-agent-team/product-manager"><img src="https://agentmods.dev/badge/skills/peterfei/ai-agent-team/product-manager/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for product-manager-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/peterfei/ai-agent-team/product-manager"><img src="https://agentmods.dev/badge/skills/peterfei/ai-agent-team/product-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,450 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00024 $0.01450
Opus 5 $0.00012 $0.00725
Sonnet 5 $0.00005 $0.00290
Haiku 4.5 $0.00002 $0.00145

Measured 9d ago against content hash 5abd94030b15, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

product-manager-agent 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 9d 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.

.claude/skills/product-manager/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

# .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

// .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"
  ]
}

Read the full file on GitHub · 166 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 166 lines · 24 tokens per session scan A 5abd94030b15

Subscribe to this mod's changes

product-manager-agent is a skill published in the GitHub repository peterfei/ai-agent-team (433 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 1,450 once invoked, about $0.0001 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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