ai-shaped-readiness-advisor — Claude Code skill
A guided assessment of how your product team really uses AI: speeding up existing tasks or rebuilding the work around it, plus what capability to build next.
npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -a claude-codeWhat ai-shaped-readiness-advisor does
The skill holds a conversation about where AI already sits in daily product work, then sorts the answers across five product competencies: context design, agent orchestration, outcome acceleration, team-AI facilitation. You end up with the gaps named and a first capability to build. Budget 15–20 minutes.
Its core distinction is between two modes of working. In the first, AI makes existing tasks go faster. In the second, the process itself gets rebuilt around what the model can do. A rival can copy the first by adding headcount. A rebuilt workflow is harder to match, which is why the opening question asks which mode you are actually in.
The answers set the value. Replying that the team uses AI everywhere produces a score just as vague, because the questions turn on specifics: which constraints are written down, who checks model output, what counts as evidence. Context passed with the invocation skips the opening prompt. Author deanpeters, repository deanpeters/Product-Manager-Skills, license CC-BY-SA-4.0.
What it helps with
- Tell apart automating tasks from redesigning the process
- Spot the weakest competency before the next quarter's planning
- Explain AI-first versus AI-shaped to the team
- Decide which capability to build first
- Check whether agents have a dependable context layer to work from
Example prompts for the agent
- ai-shaped-readiness-advisor: small PM team, AI drafts summaries and PRD text, nothing else has changed
- Score us across the five competencies and name the next one to build
- Check whether we're automating tasks or actually reshaping how the team works
How to install ai-shaped-readiness-advisor
1Skills CLI (Vercel)
npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -a claude-code2Manually: put the files in place
~/.claude/skills/ai-shaped-readiness-advisor/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/ai-shaped-readiness-advisor/
1Skills CLI (Vercel)
npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -a codex2Manually: put the files in place
.agents/skills/ai-shaped-readiness-advisor/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -a cursor2Manually: put the files in place
.cursor/skills/ai-shaped-readiness-advisor/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install deanpeters/Product-Manager-Skills ai-shaped-readiness-advisor2Manually: put the files in place
.github/skills/ai-shaped-readiness-advisor/SKILL.md1Skills CLI (Vercel)
npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -a gemini-cli2Platform CLI
gemini skills install https://github.com/deanpeters/Product-Manager-Skills --path skills/ai-shaped-readiness-advisorManually: put the files in place
.devin/skills/ai-shaped-readiness-advisor/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about ai-shaped-readiness-advisor
How do I install ai-shaped-readiness-advisor in Claude Code?
Run npx skills add deanpeters/Product-Manager-Skills --skill ai-shaped-readiness-advisor -a claude-code. The skill file lands at ~/.claude/skills/ai-shaped-readiness-advisor/SKILL.md.
What does ai-shaped-readiness-advisor do?
It runs an interactive maturity assessment across five product competencies and recommends which one to build next. The output comes out of a dialogue rather than a fixed report.
What is the difference between AI-first and AI-shaped?
AI-first speeds up the tasks a team already handles; AI-shaped rebuilds the workflow around what AI makes possible. The skill works out which of the two describes your team today.
