Strategic AI product decision-making guided by frameworks from 94 product leaders and practitioners.
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 refoundai/lenny-skills --skill ai-product-strategyCompatible with
Supported agents
Helps distinguish genuine user problems from \"AI for AI's sake\" by starting with problem definition, not technology
Guides critical architecture decisions including build vs buy, model selection, human-AI boundaries, and multi-model systems
Emphasizes designing for AI failure modes, non-determinism, and rapid iteration through feedback loops and evals
Flags common mistakes like s
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionai-product-strategyExecute the skills CLI command in your project's root directory to begin installation:
epx add refoundai/lenny-skills --skill ai-product-strategyFetches ai-product-strategy 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/ai-product-strategy
Restart Cursor to activate ai-product-strategy. Access via /ai-product-strategyin 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.
team-rituals
refoundai/lenny-skills · Productivity · same repo
to-prd
mattpocock/skills · productivity · tag: product
agile-product-owner
alirezarezvani/claude-skills · Productivity · tag: product
product-manager
aj-geddes/claude-code-bmad-skills · Productivity · tag: product
beautiful-mermaid
intellectronica/agent-skills · AI/ML · same category
ai-video-generation
inference-sh/skills · AI/ML · same category
Solid pick for teams standardizing on skills: ai-product-strategy is focused, and the summary matches what you get after install.
ai-product-strategy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ai-product-strategy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in ai-product-strategy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: ai-product-strategy is the kind of skill you can hand to a new teammate without a long onboarding doc.
ai-product-strategy has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for ai-product-strategy matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend ai-product-strategy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
ai-product-strategy reduced setup friction for our internal harness; good balance of opinion and flexibility.
ai-product-strategy reduced setup friction for our internal harness; good balance of opinion and flexibility.
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