Agent Skill
AI Shaped Readiness Advisor skill
ai-shaped-readiness-advisordeanpeters/Product-Manager-Skillsskills/ai-shaped-readiness-advisor/SKILL.md
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
always on
33 tokname + description
once used
9,703 tokSKILL.md body
bundled files
0
repo stars
7.6kGitHub
Install the AI Shaped Readiness Advisor skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills mkdir -p ~/.claude/skills cp -R /tmp/Product-Manager-Skills/skills/ai-shaped-readiness-advisor ~/.claude/skills/ai-shaped-readiness-advisor
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 33 tok |
| When the agent uses it | The SKILL.md instructions | 9,703 tok |
| Only if opened | No bundled files | — |
Until it is used, ai-shaped-readiness-advisor costs about 41× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 77 skills from deanpeters/Product-Manager-Skills would load 2,883 tokens of descriptions. Skills vs MCP study
Checks
- The instructions are over 5,000 tokens, the Agent Skills specification's guideline for SKILL.md.
- The instructions are over 500 lines; the specification suggests moving detail into reference files.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- 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
- Step 3: Outcome Acceleration Maturity
- Step 4: Team-AI Facilitation Maturity
- Step 5: Strategic Differentiation Maturity
- Step 6: Assess Maturity Profile
- Step 7: Identify Priority Gap
- Step 8: Generate Action Plan
- Step 9: Track Progress (Optional)
- Examples
- Example 1: Early-Stage Startup (AI-First → Emerging)
- Example 2: Growth-Stage Company (Transitioning → AI-Shaped)
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