효과적으로 제품 관리 팀이 전체 제품 수명주기를 통해 AI를 사용합니다. Claude Code 및 GitHub Copilot과 함께 작동합니다.

그것은 무엇을

PM 팀의 AI 성숙의 정직, 증거 기반 평가. 점수 12 PM 라이프사이클은 0–5 스케일의 단계로, 강점과 격차를 식별하고, 구체적인 다음 단계를 생성합니다. 실제 작업 공간 예측에 기반을 둔, 자기 허가 견적이 아닙니다.

12 수명주기 단계

1. 제품 발견 & 시장 연구
2. 고객 피드백 및 사용자 연구 분석
3. 경쟁 분석 & 시장 인텔리전스
4. 요구 사항 Gathering & PRD 쓰기
5. 미터 정의 & 성공 기준
6. 디자인 & Prototyping
7. Stakeholder 정렬 및 통신
8. 개발자 커뮤니케이션 & 기술적인 Specs
9. 건물, 코딩 및 구현
10. 시험, QA & AI 타원형
11. 발사, 성장 & 배급
12. 팀 구조, 고용 및 AI Adoption

득점 가늠자

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