Craft compelling product positioning and messaging using frameworks from 58 product leaders.
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 refoundai/lenny-skills --skill positioning-messagingCompatible with
Supported agents
Guides users through understanding target audience, identifying competitive frames, finding differentiated value, and testing message resonance
Emphasizes positioning as foundational to all marketing, with weak positioning creating pipeline friction and customer confusion
Flags common mistakes: feature-first messaging, positioning by generic adjectives, trying to appeal to everyone, and compa
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpositioning-messagingExecute the skills CLI command in your project's root directory to begin installation:
epx add refoundai/lenny-skills --skill positioning-messagingFetches positioning-messaging from refoundai/lenny-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/positioning-messaging
Restart Cursor to activate positioning-messaging. Access via /positioning-messagingin 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.
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positioning-messaging is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in positioning-messaging — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: positioning-messaging is the kind of skill you can hand to a new teammate without a long onboarding doc.
positioning-messaging is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend positioning-messaging for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in positioning-messaging — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: positioning-messaging is focused, and the summary matches what you get after install.
Keeps context tight: positioning-messaging is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in positioning-messaging — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend positioning-messaging for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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