Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation.
npx skills add https://github.com/RefoundAI/lenny-skills --skill product-vision
Design an aspirational future state that inspires teams and guides strategic decision-making.
Help the user with product vision creation using insights from 22 guests and posts across Lenny's Podcast and Newsletter.
Ami Vora: "If we all agree that the feeling of something should be, I'm sitting in Dolores Park with my friends on a sunny Saturday, then people will just naturally build something that feels more consistent."
Establish a shared emotional metaphor to guide decentralized teams toward consistent decision making without constant oversight.
Ebi Atawodi: "So four things. So it has to be lofty, it has to be realistic, it has to be devoid of any tech or limitations of today, and it has to be grounded in a very clear and potent problem. User problem."
Ensure the vision is rooted in a clear and significant user problem that the team feels personally motivated to solve.
Mihika Kapoor: "You want to always ensure that there are research insights that help you feel what a user is feeling. You want to ensure that there are beautiful designs and prototypes that help communicate what this future world looks like, and you also want to root it in engineering and feasibility. And you want to be constantly, even in the vision phase, assuring that what you're marching after is something that is achievable and something that you can work towards."
A compelling vision must be a cross-functional blend of deep user empathy, technical feasibility, and visual storytelling.
Sanchan Saxena: "If you become too scientific, you miss out on opportunities because you can't see those opportunities using the scientific method of discovery, because they're too tiny or they're so farfetched that people cannot even understand them."
Avoid over-reliance on scientific methods and A/B testing to prevent missing out on far-fetched or nascent product opportunities.
Andy Raskin: "The one thing I say is it's this one story that the CEO uses to drive success in marketing, sales, but also product. That it becomes like a north star, strategic north star for product roadmap, for fundraising, for recruiting, really everything."
Develop a single high-level story that acts as a North Star to align every department from sales to engineering.
Shreyas Doshi: "Google, I think the main thing I learned was the power of thinking really big. And I know it sounds like a platitude, but really big. And I only actually realized that when I left Google and I started working with the other teams and these were all capable teams and I was struck by how many teams just limited the potential of what they could achieve."
High-performing cultures prevent teams from setting artificial limits by making large-scale thinking a default operating habit.
See references/artifacts.md for the full list with details.
For all 20 sourced insights from 22 guests, see references/guest-insights.md
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take refoundai/product-vision from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.