Structured canvas for evaluating AI product ideas across outcomes, hypotheses, risks, and positioning.
Run in your terminal
Synthesizes 10 strategic components: business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, assumptions, PESTEL risks, value justification, success metrics, and next steps
Designed for AI-specific uncertainty; treats solutions as testable bets rather than commitments, with lightweight \"Tiny Acts of Discovery\" experiments built in
Outcome-driven fr
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionrecommendation-canvasExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/deanpeters/product-manager-skills --skill recommendation-canvasFetches recommendation-canvas 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:
Restart Cursor to activate recommendation-canvas. Access via /recommendation-canvasin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Package manager
npx skills add https://github.com/deanpeters/product-manager-skills --skill recommendation-canvasWorks with
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Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
greedychipmunk/agent-skills
Useful defaults in recommendation-canvas — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
recommendation-canvas fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
recommendation-canvas has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: recommendation-canvas is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend recommendation-canvas for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
recommendation-canvas is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added recommendation-canvas from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: recommendation-canvas is focused, and the summary matches what you get after install.
I recommend recommendation-canvas for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added recommendation-canvas from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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