ai-shaped-readiness-advisor

Assess product work across five AI-shaped product management competencies.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/MiDouTech/myTapd --skill ai-shaped-readiness-advisor-midoutech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-shaped-readiness-advisor
Source: https://github.com/MiDouTech/myTapd/tree/main/.claude/skills/ai-shaped-readiness-advisor
Command: npx skills add https://github.com/MiDouTech/myTapd --skill ai-shaped-readiness-advisor-midoutech

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps product teams determine whether their work is merely AI-first (efficiency gains) or genuinely AI-shaped (organizational redesign for co‑intelligence), and identifies which capability to build next to create strategic advantage.

Core Features & Use Cases

  • Adaptive, interactive maturity assessment across five PM competencies: Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation.
  • One-question-per-turn facilitation that collects context, scores each competency, synthesizes a maturity profile, and recommends a priority gap with dependency-aware action plans.
  • Use cases include quarterly AI readiness reviews, prioritizing team capability investments, and workshop facilitation to convert tool usage into durable org practices.

Quick Start

Run the AI-shaped readiness assessment for my product team and recommend the top capability we should build next.

Frequently Asked Questions about ai-shaped-readiness-advisor

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

FAQPage Schema
What is the difference between AI-first and AI-shaped product strategy?

An AI-first product strategy focuses on efficiency gains, whereas an AI-shaped approach involves organizational redesign for co-intelligence. Assessing AI maturity helps product teams determine if they are merely adopting tools or genuinely building strategic differentiation through capability building.

How do I assess my product team's AI maturity across core competencies?

You can assess AI maturity through an interactive facilitation process that scores five product management competencies: Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation. This structured maturity scoring synthesizes a profile to guide capability investments.

How to prioritize which AI capability to build next for a product team?

To prioritize the next AI capability to build, run an interactive maturity assessment that scores competencies and identifies priority gaps. It generates a dependency-aware prioritized action plan, ensuring capability building aligns with strategic differentiation and outcome acceleration.

Can I use this readiness assessment for quarterly AI capability reviews?

Yes, this readiness assessment is designed for quarterly AI readiness reviews. It helps product teams convert tool usage into durable organizational practices by evaluating context design and agent orchestration to prioritize team capability investments.

Does the AI maturity assessment require specific team sizes or context formats?

The assessment uses one-question-per-turn interactive facilitation to collect context, meaning it adapts to your specific product team environment. No rigid context formats are required, as it gathers contextual data dynamically to score competencies and generate action plans.

Why focus on agent orchestration and context design for AI readiness?

Focusing on agent orchestration and context design is essential for moving beyond basic AI efficiency to achieve strategic differentiation. Evaluating these competencies ensures your product strategy effectively redesigns organizational workflows for co-intelligence and outcome acceleration.