Assess whether your product work is AI-first or genuinely AI-shaped, and prioritize which capability to build next.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add deanpeters/product-manager-skills --skill ai-shaped-readiness-advisorCompatible with
Supported agents
Evaluates your maturity across 5 essential PM competencies: Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, and Strategic Differentiation
Distinguishes between efficiency gains (AI-first: automating existing tasks faster) and transformation (AI-shaped: redesigning how teams operate around AI as co-intelligence)
Identifies foundational ga
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionai-shaped-readiness-advisorExecute the skills CLI command in your project's root directory to begin installation:
epx add deanpeters/product-manager-skills --skill ai-shaped-readiness-advisorFetches ai-shaped-readiness-advisor from deanpeters/product-manager-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/ai-shaped-readiness-advisor
Restart Cursor to activate ai-shaped-readiness-advisor. Access via /ai-shaped-readiness-advisorin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
llm-council
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ai-shaped-readiness-advisor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
ai-shaped-readiness-advisor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in ai-shaped-readiness-advisor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for ai-shaped-readiness-advisor matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: ai-shaped-readiness-advisor is focused, and the summary matches what you get after install.
ai-shaped-readiness-advisor reduced setup friction for our internal harness; good balance of opinion and flexibility.
ai-shaped-readiness-advisor has been reliable in day-to-day use. Documentation quality is above average for community skills.
ai-shaped-readiness-advisor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added ai-shaped-readiness-advisor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
ai-shaped-readiness-advisor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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