一项用于基准测试产品管理团队在整个产品生命周期中有效使用人工智能的技能。可使用 Claude Code 和 GitHub Copilot。

它的作用

对项目经理团队的AI成熟度进行诚实、基于证据的评估。对12个项目管理生命周期阶段进行0至5的评分，识别优势和不足，并基于真实工作空间产物而非自我报告的估算，生成具体的下一步。

12个生命周期阶段

1. 产品发现与市场调研
2. 分析客户反馈与用户调研
3. 竞争分析与市场情报
4. 需求收集与PRD编写
5. 指标定义与成功标准
6. 设计与原型制作
7. 利益相关者对齐与沟通
8. 开发者沟通与技术规格
9. 构建、编码与实施
10. 测试、质量保证与人工智能评估
11. 启动、成长与发行
12. 团队结构、招聘与人工智能应用

评分标准

AI PM Maturity Assessment

A skill for benchmarking how effectively a product management team uses AI across the full product lifecycle. Works with Claude Code and GitHub Copilot.

What It Does

Produces an honest, evidence-based assessment of a PM team’s AI maturity. Scores 12 PM lifecycle phases on a 0–5 scale, identifies strengths and gaps, and generates concrete next steps — grounded in real workspace artifacts, not self-reported estimates.

The 12 Lifecycle Phases

1. Product Discovery & Market Research
2. Analyzing Customer Feedback & User Research
3. Competitive Analysis & Market Intelligence
4. Requirements Gathering & PRD Writing
5. Metrics Definition & Success Criteria
6. Design & Prototyping
7. Stakeholder Alignment & Communication
8. Developer Communication & Technical Specs
9. Building, Coding & Implementation
10. Testing, QA & AI Evals
11. Launch, Growth & Distribution
12. Team Structure, Hiring & AI Adoption

Scoring Scale

Installation

Claude Code

Copy the skill into your project’s .claude/skills/ directory:

# From your project root
git clone https://github.com/fitzgeraldsteele/ai-pm-maturity-assessment-skill /tmp/ai-pm-skill
cp -r /tmp/ai-pm-skill/.claude/skills/ai-pm-maturity-assessment .claude/skills/

The skill is then available in any Claude Code session within that project.

GitHub Copilot (VS Code)

Copilot recognizes skills in .claude/skills/ automatically — same install as above. The skill will be available as a slash command in Copilot Chat once the files are present in your repo.

Alternatively, copy the agent definition for a Copilot-optimized experience:

cp /tmp/ai-pm-skill/.github/agents/ai-pm-assessor.agent.md .github/agents/

Usage

Once installed, invoke it when you want to:

• Benchmark a PM team’s AI adoption
• Identify the highest-leverage gaps in AI-assisted workflows
• Plan where to invest in AI tooling for a product team
• Compare practices against industry benchmarks from leading AI-native companies

Files

• .claude/skills/ai-pm-maturity-assessment/SKILL.md — Skill definition, rubric, assessment workflow, and output format (works with Claude Code and GitHub Copilot)
• .github/agents/ai-pm-assessor.agent.md — Custom agent definition for GitHub Copilot
• AI in Product Management — Lifecycle Rubric & Benchmark Guide.md — Full rubric with sourcing and best-practice signals for each phase

Sources