ai-shaped-readiness-advisor

Assess product teams' AI maturity across five PM competencies.

Updated Aug 18, 2024

Search Tags:#product-strategy #maturity-assessment #agent-orchestration #ai-readiness #team-facilitation #context-design #learning-acceleration

Ready to run

npx skills add https://github.com/ch-m-n/dotfile --skill ai-shaped-readiness-advisor-ch-m-n

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-shaped-readiness-advisor
Source: https://github.com/ch-m-n/dotfile/tree/main/opencode/skills/ai-shaped-readiness-advisor
Command: npx skills add https://github.com/ch-m-n/dotfile --skill ai-shaped-readiness-advisor-ch-m-n

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps product teams honestly assess if they are merely making AI-first efficiency gains or building AI-shaped capabilities, so they can prioritize the next strategic competency to build.

Core Features & Use Cases

Adaptive maturity assessment: Guides you through context questions, scoring rubrics, and a five-competency profile to reveal gaps in Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation.
Facilitation protocol: Enforces one question per turn, progress labels, decision-point recommendations, and interruption handling so sessions stay structured and actionable.
Use Case: Product leaders debating whether to invest in orchestration versus team facilitation can quantify readiness, surface dependencies, and receive tailored next steps.

Quick Start

Begin with the mandatory heads-up and entry-mode prompt, then proceed through the context questions to launch the maturity scoring.

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 strategy focuses on efficiency gains, while AI-shaped strategy builds new capabilities. This maturity assessment evaluates product teams across five PM competencies to determine where they fall on this spectrum and identify readiness gaps.

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

Assess AI readiness through adaptive questioning and scoring rubrics that profile five competencies: Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation, yielding progress-aware recommendations.

Which PM competencies should I evaluate before investing in agent orchestration?▼

Before investing in agent orchestration, evaluate Team-AI Facilitation and Context Design readiness. The assessment surfaces dependencies across the five-competency profile, helping product leaders prioritize orchestration versus team facilitation investments.

Can I use this maturity assessment for organizational context beyond product strategy?▼

This assessment applies specifically to product leaders evaluating organizational readiness to build AI capabilities. It enforces strict facilitation protocols, including one question per turn and interruption handling, to keep strategic evaluation sessions structured and actionable.

How does the facilitation protocol work during the maturity assessment?▼

The facilitation protocol enforces one question per turn, applies progress labels, triggers decision-point recommendations, and handles interruptions. This structured approach ensures maturity assessment sessions yield quantified readiness scores and tailored next steps.