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.