ai-shaped-readiness-advisor
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Assesses whether your product work is AI-first or AI-shaped and provides concrete recommendations on which of the 5 essential PM competencies to build next. It guides evaluating AI maturity and prioritizing next capabilities, using an interactive, question-driven flow.
How it works
The skill engages in adaptive questioning to profile maturity across 5 PM competencies: Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation. It starts with a session heads-up and then uses one-question-per-turn prompts, presenting concise progress labels (Context Qx/8 and Scoring Qx/5). Based on user responses, it surfaces a prioritized recommendation path at decision points. It references a defined facilitation protocol that includes versioned prompts, explicit rationale logging, and structured decision options. It does not reveal or execute actions outside the described interactive flow, and it instructs the agent to map user input to actionable paths without re-asking already provided context.
When to use it
Use when you want to assess AI maturity and decide which AI capability to build next, especially if your team uses AI tools but lacks strategic transformation or governance around AI-enabled product work.
What it can touch
The skill framework assumes interaction with the user and outputs recommendations at decision points. It relies on a guided, one-question-per-turn protocol and presents numbered options (e.g., 1., 2., 3.) for core decisions.
Caveats
The skill is designed for interactive assessment and prioritization; it does not guarantee outcomes beyond structured recommendations. It requires adherence to the explicit facilitation protocol (one question per turn, progress labels, etc.).
## Purpose Assess whether your product work is **"AI-first"** (using AI to automate existing tasks faster) or **"AI-shaped"** (fundamentally redesigning how product teams operate around AI capabilities). Use this to evaluate your readiness across **5 essential PM competencies for 2026**, identify gaps, and get concrete recommendations on which capability to build first. **Key Distinction:** AI-first is cute (using Copilot to write PRDs faster). AI-shaped is survival (building a durable "reality layer" that both humans and AI trust, orchestrating AI workflows, compressing learning cycles). This is not about AI tools—it's about **organizational redesign around AI as co-intelligence**. The interactive skill guides you through a maturity assessment, then recommends your next move. ## Input **Works best with:** A description of how your team currently uses AI in its product work — even 'barely' is a valid answer. **Also useful:** Team size, product domain, and which of the 5 competencies you suspect is weakest. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it and sk
- Purpose
- Input
- Key Concepts
- AI-First vs. AI-Shaped
- The 5 Essential PM Competencies (2026)
- Anti-Patterns (What This Is NOT)
- When to Use This Skill
- Facilitation Source of Truth
- Application
- Facilitation Protocol (Mandatory)
- Session Start: Heads-Up + Entry Mode (Mandatory)
- Step 0: Gather Context
- Step 1: Context Design Maturity
- Step 2: Agent Orchestration Maturity
What does the ai-shaped-readiness-advisor skill do?
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
How do I install it?
Run `npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From deanpeters/Product-Manager-Skills, a repository with 6,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.