ai-shaped-readiness-advisor

Score five PM competencies and recommend next AI capability priorities.

358|11|Updated May 15, 2026
One-click install
npx skills add https://github.com/getcrew44/crew44 --skill ai-shaped-readiness-advisor-getcrew44
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-shaped-readiness-advisor
Source: https://github.com/getcrew44/crew44/tree/main/daemon/internal/presets/defaultcrew/skills/product/ai-shaped-readiness-advisor
Command: npx skills add https://github.com/getcrew44/crew44 --skill ai-shaped-readiness-advisor-getcrew44

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps product teams stop guessing whether they are merely using AI tools more efficiently or genuinely redesigning how the team operates around AI-driven co-intelligence.

Core Features & Use Cases

  • AI-first vs AI-shaped maturity assessment: Evaluates whether your product work is mostly task automation or a deeper organizational transformation.
  • Five PM competency scoring for 2026: Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation.
  • Priority-driven action recommendations: Identifies the next capability to build first and outlines how to close the highest-leverage gap.

Quick Start

Use the ai-shaped-readiness-advisor skill to assess your team by telling it which AI tools you use today and how your team uses them (one-off prompts, reusable templates, or multi-step workflows).

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?

AI-first product strategy focuses on automating existing tasks, while AI-shaped strategy redesigns organizational capabilities around AI co-intelligence to achieve deeper transformation and strategic differentiation.

How do I assess my team's AI readiness and PM competencies?

Assess AI readiness by evaluating your team's current AI tool usage and workflows through an interactive maturity profiling protocol, which scores five PM competencies to identify high-leverage capability gaps.

What PM competencies are required for AI agent orchestration and context design in 2026?

Required PM competencies include Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation, scored to align product strategy with AI-driven co-intelligence.

How do I get started with an AI maturity review for my product team?

Start an AI maturity review by telling the advisor which AI tools your team uses today and how you apply them—whether through one-off prompts, reusable templates, or multi-step workflow redesign.

Does this AI readiness assessment work for teams using simple one-off prompts?

Yes, the adaptive assessment protocol evaluates teams across the entire spectrum, from basic one-off prompt usage to advanced multi-step workflows, profiling maturity to recommend the next capability to build.

When should I redesign workflows for AI co-intelligence instead of just automating tasks?

Redesign workflows for AI co-intelligence when task automation no longer drives strategic differentiation, indicating a need to transition from AI-first usage to an AI-shaped organizational capability model.