ai-shaped-readiness-advisor

Assess AI-shaped product maturity across five PM competencies and prioritize gaps.

1|1|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/yuyuxinli/moodcoco --skill ai-shaped-readiness-advisor-yuyuxinli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-shaped-readiness-advisor
Source: https://github.com/yuyuxinli/moodcoco/tree/main/.claude/skills/ai-shaped-readiness-advisor
Command: npx skills add https://github.com/yuyuxinli/moodcoco --skill ai-shaped-readiness-advisor-yuyuxinli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps product teams move beyond ad-hoc AI usage by diagnosing whether work is merely AI-first (efficiency gains) or genuinely AI-shaped (organizational redesign for AI co-intelligence). It clarifies where your team is weakest across five core PM competencies and gives a prioritized path to build the capability that will produce the most strategic impact.

Core Features & Use Cases

  • Adaptive, one-question-per-turn facilitation that gathers context then runs a structured maturity scoring across Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation.
  • Decision logic that recommends the single highest-impact competency to build first, with concrete phased action plans and success criteria.
  • Use cases: leadership readiness reviews, quarterly roadmap prioritization, pre-investment due diligence, and team training sessions.

Quick Start

Use the ai-shaped-readiness-advisor to run a guided maturity assessment for your product team by answering one question at a time.

Frequently Asked Questions about ai-shaped-readiness-advisor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess my product team's AI readiness and maturity?

Assess AI readiness by running a guided maturity evaluation across five PM competencies: Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation. This process uses adaptive questioning to score your team and identify priority capability gaps.

What is the difference between AI-first and AI-shaped product management?

AI-first product management focuses on basic efficiency gains, whereas AI-shaped work involves organizational redesign for AI co-intelligence. A maturity assessment evaluates whether your team operates at an AI-first or AI-shaped level to pinpoint where strategic impact is missing.

How do I prioritize which AI product capabilities to build next?

Prioritize AI capabilities by using dependency-aware decision logic that evaluates maturity scores across five core competencies. The assessment recommends the single highest-impact capability to build first, providing concrete phased action plans and success criteria for roadmap planning.

Can I use a maturity assessment for quarterly roadmap planning and leadership reviews?

Yes, a maturity assessment is designed for leadership readiness reviews, quarterly roadmap prioritization, pre-investment due diligence, and team training sessions. It provides structured scoring and actionable phased plans to guide strategic discussions.

What are the five core competencies for AI product management evaluation?

The five core competencies for AI product management evaluation are Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation. Assessing these areas identifies priority gaps and directs capability building efforts.

Why does my team struggle to move beyond ad-hoc AI usage in product development?

Teams struggle to move beyond ad-hoc AI usage when they lack maturity in core PM competencies like Context Design and Agent Orchestration. A structured assessment diagnoses these specific weaknesses and provides a phased path to build genuine AI-shaped co-intelligence.