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.