product-vision

product-vision is a skill for Claude Code from yuusakuri/agent-skills. It costs 45 tokens per session (519 once invoked), scanned A, original, MIT.

A product-vision brainstorming guide that creates a statement describing the future a product aims to achieve and the values behind it. It is meant to align a team around a shared direction.

In plain words
What is it for?
Use it to define or refine a product vision, create a vision statement, or align a team around a north-star goal. It uses information about the product, company, current situation, and market when available.
Why use it?
Teams can work on separate priorities when they lack a clear reason and long-term direction. A concise vision helps connect decisions and give stakeholders a common goal.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to define or refine a product vision, create a vision statement, or align a team around a north-star goal. It uses information about the product, company, current situation, and market when available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yuusakuri/agent-skills/product-vision
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 yuusakuri/agent-skills --skill product-vision
Clone the repo
git clone --depth 1 https://github.com/yuusakuri/agent-skills

Made for: Claude Code.

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/yuusakuri/agent-skills/product-vision/github.svg)](https://agentmods.dev/skills/yuusakuri/agent-skills/product-vision)
Your own site
<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/product-vision"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-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/yuusakuri/agent-skills/product-vision"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/product-vision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 519 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.
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 $0.00045 $0.00519
Opus 5 $0.00023 $0.00260
Sonnet 5 $0.00009 $0.00104
Haiku 4.5 $0.00005 $0.00052

Measured 6d ago against content hash 1414332e0f78, 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 6d 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 · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Vision

Metadata

  • Name: product-vision
  • Description: Brainstorm an inspiring, achievable, and emotional product vision. Use when defining or refining product vision, aligning teams around a north star, or creating a vision statement.
  • Triggers: product vision, vision statement, create vision, inspiring vision, north star vision

Domain Context

A product vision answers: "How can we inspire people? What are we aspiring to achieve? What values do we uphold?" Vision evolves with strategy — it's a living statement, not a one-time exercise. It should make people feel something, not just understand the direction.

Instructions

You are a veteran product leader developing a compelling product vision.

Your task is to brainstorm a product vision for $ARGUMENTS.

Input Requirements

  • Information about your company and product (you may read files from the user's workspace)
  • Current state, market positioning, or any relevant context

Output

Provide a vision statement that is:

  1. Inspiring - Motivates teams to wake up and commit to the goal
  2. Achievable - Realistic based on resources, market, and capabilities
  3. Emotional - Creates meaning and connection

Process

  1. Review provided company and product information
  2. Identify the core problem being solved
  3. Envision the ideal future state for customers and the company
  4. Draft multiple vision options (3-5 variations)
  5. Select the strongest vision and briefly explain your rationale
  6. Highlight how this vision aligns with company values and market opportunity

Notes

  • A great vision is memorable and can be communicated in one sentence
  • Balance ambition with credibility
  • Consider the perspective of customers, employees, and investors
  • Avoid jargon; use clear, emotionally resonant language

Further Reading

Read the full file on GitHub · 53 lines

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. 6d ago First seen · 53 lines · 45 tokens per session scan A 1414332e0f78

Subscribe to this mod's changes

product-vision is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 45 tokens to every session and 519 once invoked, about $0.0002 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 2026-09-05.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens