product-vision

product-vision is a skill for Claude Code, Codex from RefoundAI/lenny-skills. It costs 26 tokens per session (1,382 once invoked), scanned A, original, MIT.

A guided writing aid for describing the desired future of a product and turning that description into direction for a team.

In plain words
What is it for?
Defining a product vision, creating a clear narrative, illustrating the intended outcome, and working backward toward a multi-year roadmap.
Why use it?
It helps teams agree on what they are building and why, especially when people work independently.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Defining a product vision, creating a clear narrative, illustrating the intended outcome, and working backward toward a multi-year roadmap.

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Install with agentmods
npx agentmods add skills/refoundai/lenny-skills/product-vision
About the project

Lenny Skills is a collection of product-management and engineering workflows for Claude Code and other AI agents, covering areas such as strategy, research, planning, shipping, growth, and hiring. Each skill gives an agent specialized guidance, frameworks, checklists, or templates for product work, and the catalogue contains many of these skills.

RefoundAI/lenny-skills · 1,318 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add RefoundAI/lenny-skills --skill product-vision
Clone the repo
git clone --depth 1 https://github.com/RefoundAI/lenny-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for product-vision

README.md
[![agentmods](https://agentmods.dev/badge/skills/refoundai/lenny-skills/product-vision/github.svg)](https://agentmods.dev/skills/refoundai/lenny-skills/product-vision)
Your own site
<a href="https://agentmods.dev/skills/refoundai/lenny-skills/product-vision"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/product-vision/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for product-vision

Your own site · 80×15
<a href="https://agentmods.dev/skills/refoundai/lenny-skills/product-vision"><img src="https://agentmods.dev/badge/skills/refoundai/lenny-skills/product-vision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,382 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.01382
Opus 5 $0.00013 $0.00691
Sonnet 5 $0.00005 $0.00276
Haiku 4.5 $0.00003 $0.00138

Measured 8d ago against content hash fad2f296c58b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

product-vision scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/product-vision/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

  1. Define the Destination - Guide the user in articulating a lofty yet realistic future state grounded in a potent user problem.
  2. Craft the Narrative - Help translate technical goals into an emotional metaphor or a strategic narrative that resonates with human psychology.
  3. Visualize the Outcome - Advise on creating visual prototypes or storyboards that make the abstract vision concrete for stakeholders.
  4. 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."

Read the full file on GitHub · 90 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 90 lines · 26 tokens per session scan A fad2f296c58b

Subscribe to this mod's changes

product-vision is a skill published in the GitHub repository RefoundAI/lenny-skills (1,318 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,382 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.