Game Changing Features
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation.
Install Product Vision
$ npx skills add RefoundAI/lenny-skills --skill product-vision -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RefoundAI/lenny-skills product-vision --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-vision .claude/skills/product-vision && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "product-vision" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/product-vision into .claude/skills/product-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-vision", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/RefoundAI/lenny-skills/tree/main/skills/product-visionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add RefoundAI/lenny-skills --skill product-vision -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RefoundAI/lenny-skills product-vision --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/product-vision .agents/skills/product-vision && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "product-vision" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/product-vision into .agents/skills/product-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-vision", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add RefoundAI/lenny-skills --skill product-vision -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RefoundAI/lenny-skills product-vision --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/product-vision .cursor/skills/product-vision && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "product-vision" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/product-vision into .cursor/skills/product-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-vision", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/RefoundAI/lenny-skills.git --path skills/product-vision--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add RefoundAI/lenny-skills --skill product-vision -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RefoundAI/lenny-skills product-vision --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/product-vision .gemini/skills/product-vision && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "product-vision" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/product-vision into .gemini/skills/product-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-vision", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install RefoundAI/lenny-skills product-visionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add RefoundAI/lenny-skills --skill product-vision -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/product-vision .github/skills/product-vision && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "product-vision" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/product-vision into .github/skills/product-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-vision", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add RefoundAI/lenny-skills --skill product-vision -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RefoundAI/lenny-skills product-vision --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/product-vision .opencode/skills/product-vision && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "product-vision" agent skill from https://github.com/RefoundAI/lenny-skills/tree/main/skills/product-vision into .opencode/skills/product-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-vision", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
product-vision- GitHub stars
- 1.4k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 996 words
- Files
- 3 (incl. references)
- Skills in repo
- 76
- Repo updated
- First seen
- Licence
- MIT
At a glance
Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation.
- Works in 4 steps: Define the Destination - Guide the user… → Craft the Narrative - Help translate… → Visualize the Outcome - Advise on… → …
- Tasks that involve Product strategy
- SKILL.md covers How to Help, Core Principles, Templates & Frameworks and Questions to Help Users, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Product Vision is an agent skill from RefoundAI/lenny-skills. Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/artifacts.md` and `references/guest-insights.md`).
It sits in Product & Project Management, covering Product strategy. The repository describes itself as: 86 product management skills from Lenny's Podcast for Claude Code and AI agents. Hiring, user research, strategy, shipping, and more. The licence is MIT.
When your agent uses it
- Tasks that involve Product strategy
Example prompts
- “/product-vision”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Define the Destination - Guide the user in articulating a lofty yet realistic future state grounded in a potent user problem.
- Craft the Narrative - Help translate technical goals into an emotional metaphor or a strategic narrative that resonates with human…
- Visualize the Outcome - Advise on creating visual prototypes or storyboards that make the abstract vision concrete for stakeholders.
- Connect to Execution - Facilitate the process of working backward from the ideal future to create a tactical multi-year roadmap.
What it can do on your machine
Read from SKILL.md and the folder at commit 13598cc. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Product Vision loads about 1.7k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 996 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from RefoundAI/lenny-skills at commit 13598cc, republished under its MIT licence (© RefoundAI). 996 words, ~1,742 tokens.
Download SKILL.mdSave it as
.claude/skills/product-vision/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- product-vision
- description
- Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation.
Product Vision Creation
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.
How to Help
- Define the Destination - Guide the user in articulating a lofty yet realistic future state grounded in a potent user problem.
- Craft the Narrative - Help translate technical goals into an emotional metaphor or a strategic narrative that resonates with human psychology.
- Visualize the Outcome - Advise on creating visual prototypes or storyboards that make the abstract vision concrete for stakeholders.
- Connect to Execution - Facilitate the process of working backward from the ideal future to create a tactical multi-year roadmap.
Core Principles
Use Emotional Metaphors
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.
Ground Vision in Potent Problems
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.
Synthesize Across Functions
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.
Balance Art with Science
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.
Unify with a Strategic Narrative
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.
Default to Large-Scale Thinking
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.
Show full SKILL.md (435 more words)Show less
Templates & Frameworks
- Column A vs. Column B Thinking (Melanie Perkins) - A mental model for strategic planning. Column A is looking at the resources (bricks) you have today and seeing what you can build. Column B is imagining the per
- The 10-Star Experience Framework (First-principles thinking) - Brian Chesky's thought experiment for designing extraordinary customer experiences by imagining progressively more extreme versions and then reverse-engineering
- Three-Year Painted Picture (How Miro builds product) - A high-level, bold, and ambitious vision document co-developed by the Leadership Team that defines outcomes for users and the company over three years
- Amazon PRFAQ (Press Release & FAQ) (Jason Shah) - A document written before building a product to clarify the vision, customer value, and rollout plan.
- Airbnb Snow White Storyboard Project (What Seven Years at Airbnb Taught Me About Building a Business) - How Airbnb used Disney-inspired storyboards to map the ideal guest and host experience, identifying key emotional moments and strategic gaps.
- WhatsApp 'Face-to-Face' Metaphor (Ami Vora) - An example of using an emotional metaphor to drive decentralized product design decisions.
- Roman Pichler's Product Vision Board (My favorite product management templates) - A structured canvas for articulating product vision including target group, needs, product, and business goals
- Concept Car Prototyping for Long-term Strategy (Strategy Blocks: An operator’s guide to product strategy) - An approach to generating exploratory prototypes for long-term strategy that are not intended to be production-ready but spark inspiration and identify winning
See references/artifacts.md for the full list with details.
Questions to Help Users
- "What specific feeling do you want users to experience when they interact with your product?"
- "If all technical and operational constraints were removed, what would a 15-out-of-10 experience look like?"
- "What is the potent user problem that makes this vision necessary right now?"
- "What does the world look like after your mission is successful in ten years?"
- "Can you describe your product's destination using a non-technical analogy?"
- "What are the non-negotiable strategic shifts that must happen to achieve this vision?"
Common Mistakes to Flag
- Incremental Strategic Drift - Teams often focus on short-term resource availability rather than defining an ideal future state and working backward.
- Over-Reliance on Data for Vision - Strict adherence to scientific methods can cause leaders to miss nascent opportunities that require artistic intuition.
- Text-Heavy Vision Documents - Lengthy text-based descriptions are harder to consume and align on compared to visual prototypes and vivid storytelling.
- Disconnecting Vision from Daily Tasks - Sustained motivation is lost when employees cannot see a clear link between their immediate work and the company mission.
Deep Dive
For all 20 sourced insights from 22 guests, see references/guest-insights.md
Related Skills
- Defining Product Strategy
- Positioning
- Pricing Strategy
- North Star Metrics
© RefoundAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in skills/product-vision of RefoundAI/lenny-skills.
- SKILL.md
- references/artifacts.md
- references/guest-insights.md
Open the folder on GitHubat commit 13598cc
Compare with similar skills
Product Vision next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Product Vision this skillRefoundAI/lenny-skills | 1.4k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Organic Growth Path Advisordeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~5.2k | Automated safety check: Pass | Custom licence | |
| Product Strategistalirezarezvani/claude-skills | 28k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | |
| PlaidBuildGreatProducts/plaid | 218 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Product Competitive AnalysisFokkyp/claude-skills | 226 | — | ~1.2k | Automated safety check: Pass | None |
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Organic Growth Path Advisor
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Diagnoses where a growth constraint lives and recommends one organic growth path from the McKinsey Growth Pyramid to test first.
Product Strategist
alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
Plaid
BuildGreatProducts/plaid
Product Led AI Development — guides founders from idea to launched product.
Product Competitive Analysis
Fokkyp/claude-skills
Produces product-manager competitive analysis reports in Chinese, with a confirm-first scoping gate, three-phase evidence collection and single or multi-product modes.
Company Research Brief
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Builds a company research brief covering executive quotes, product strategy, transformation efforts and org context, tailored to interview prep, competitor or partnership work.
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Related
Categories
Questions about Product Vision
What does Product Vision do?
Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation. Product Vision is an agent skill from RefoundAI/lenny-skills. Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation.
When should I use Product Vision?
Product Vision fits situations like: tasks that involve Product strategy.
How do I install Product Vision in Claude Code?
Run `npx skills add RefoundAI/lenny-skills --skill product-vision -a claude-code`. Or copy the skill folder (skills/product-vision in RefoundAI/lenny-skills) into .claude/skills/product-vision in your project. Claude Code loads it when a task matches its description.
How do I install Product Vision in Codex?
Run `npx skills add RefoundAI/lenny-skills --skill product-vision -a codex`. Or copy the skill folder (skills/product-vision in RefoundAI/lenny-skills) into .agents/skills/product-vision in your project. Codex loads it when a task matches its description.
Can I use Product Vision in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RefoundAI/lenny-skills --skill product-vision -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-vision, .gemini/skills/product-vision, .github/skills/product-vision and .opencode/skills/product-vision in your project.
What does Product Vision need to run?
SKILL.md names no scripts, command-line tools or credentials: Product Vision is instructions for the agent only.
Does Product Vision access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Product Vision safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Product Vision use?
Product Vision is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Product Vision use?
About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.
What are the alternatives to Product Vision?
Skills that share tags, products or a category with Product Vision: Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), Organic Growth Path Advisor (deanpeters/Product-Manager-Skills, 7.2k stars), Product Strategist (alirezarezvani/claude-skills, 28k stars) and Plaid (BuildGreatProducts/plaid, 218 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Product Vision?
RefoundAI (a GitHub organization) maintains it in RefoundAI/lenny-skills, which has 1,381 GitHub stars. The repository holds 76 skills in this directory. The repository was last updated on July 16, 2026.
Source: RefoundAI/lenny-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.