Structured canvas for evaluating AI product ideas across outcomes, hypotheses, risks, and positioning.
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
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
Submit your Claude Code skill and start earning
epx add deanpeters/product-manager-skills --skill recommendation-canvasCompatible with
Supported agents
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:
epx add 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:
.cursor/skills/recommendation-canvas
Restart Cursor to activate recommendation-canvas. Access via /recommendation-canvasin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
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.
grill-me
mattpocock/skills · Productivity · same category
reverse-engineering-tools
gmh5225/awesome-game-security · Productivity · same category
flutter-performance
flutter/skills · Productivity · same category
skill-installer
openai/skills · Productivity · same category
php-pro
jeffallan/claude-skills · Productivity · same category
simplify
brianlovin/agent-config · Productivity · same category
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.
showing 1-10 of 51