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ai-pm-maturity-assessment-skill

Benchmark product team AI maturity across twelve lifecycle phases

Assesses how effectively a product management team uses AI across 12 lifecycle phases, scoring each on a 0-5 scale. Replaces guesswork and self-reported estimates with evidence-based scoring grounded in real workspace artifacts like prompts, skills, and specs. Identifies strengths and gaps, then generates concrete next steps so teams know exactly where to invest in AI tooling.
npx skills add fitzgeraldsteele/ai-pm-maturity-assessment-skill --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install AI PM Maturity Assessment?โ–ผ

Run `npx skills add fitzgeraldsteele/ai-pm-maturity-assessment-skill --all -g -y` in your terminal to install the skill globally.

How to measure AI maturity of a product team?โ–ผ

This skill scores your team across 12 product lifecycle phases on a 0-5 scale, using real workspace evidence like prompts, agents, and PRDs rather than self-reported estimates.

Does it work with Claude Code and GitHub Copilot?โ–ผ

Yes. The skill follows the standard SKILL.md format and works in Claude Code, and GitHub Copilot recognizes it automatically once placed in your project's .claude/skills/ directory.

What does the assessment report include?โ–ผ

You get an overall score, a phase-by-phase breakdown with evidence and gaps, a summary scorecard, and the top 5 highest-impact next actions ordered by effort-to-impact ratio.

Do I need technical skills to run the assessment?โ–ผ

No. Simply ask your agent to assess your team's AI maturity, and it will gather workspace evidence and ask clarifying questions where information is missing.

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