# AI Shaped Readiness Advisor

Assess whether your product work is AI-first or AI-shaped.

- Repository: https://github.com/deanpeters/Product-Manager-Skills (7825 stars)
- Category: Engineering
- License: see repository
- Last updated: 2026-10-16
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -g -a claude-code -y`
Codex: `npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -g -a codex -y`
Cursor: `npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -g -a cursor -y`
Gemini CLI: `npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add deanpeters/Product-Manager-Skills`

## Description

Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

## Purpose

Assess whether your product work is **"AI-first"** (using AI to automate existing tasks faster) or **"AI-shaped"** (fundamentally redesigning how product teams operate around AI capabilities). Use this to evaluate your readiness across **5 essential PM competencies for 2026**, identify gaps, and get concrete recommendations on which capability to build first.

**Key Distinction:** AI-first is cute (using Copilot to write PRDs faster). AI-shaped is survival (building a durable "reality layer" that both humans and AI trust, orchestrating AI workflows, compressing learning cycles).

This is not about AI tools, it's about **organizational redesign around AI as co-intelligence**. The interactive skill guides you through a maturity assessment, then recommends your next move.

## Input

**Works best with:** A description of how your team currently uses AI in its product work, even 'barely' is a valid answer.
**Also useful:** Team size, product domain, and which of the 5 competencies you suspect is weakest.

Anything supplied with the invocation itself, text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line, counts as answers already given. Use it and skip whatever it covers; don't re-ask.

**Arriving empty-handed? That works too.** The advisor opens by asking how AI currently shows up in your team's day-to-day product work.

**Example invocation:** `Assess my team: 6 PMs, we use ChatGPT for PRD drafts and meeting summaries but nothing in our discovery or delivery process has changed.`

## Key Concepts

### AI-First vs. AI-Shaped

The rest: https://github.com/deanpeters/Product-Manager-Skills/blob/HEAD/skills/ai-shaped-readiness-advisor/SKILL.md
