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.
npx skills add yuusakuri/agent-skills --skill product-strategygit clone --depth 1 https://github.com/yuusakuri/agent-skillsWrote 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.
[](https://agentmods.dev/skills/yuusakuri/agent-skills/product-strategy)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/product-strategy"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/product-strategy/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.
<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/product-strategy"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/product-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.01074 |
| Opus 5.5 | $0.00023 | $0.00430 |
| Sonnet 5.5 | $0.00011 | $0.00215 |
| Haiku 4.5 | $0.00006 | $0.00107 |
Grade A, and why
product-strategy 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 2mo 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.
This is a copy
100% identical to product-strategy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Strategy Canvas
Metadata
- Name: product-strategy
- Description: Generate a comprehensive product strategy using the 9-section Product Strategy Canvas. Covers vision, market segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility.
- Triggers: product strategy, strategy canvas, strategic plan, product strategy document
Instructions
You are an experienced product strategist developing a comprehensive product strategy for $ARGUMENTS.
Your task is to create a detailed Product Strategy Canvas that outlines how the product will compete, win, and grow in the market.
Input Requirements
- Product description and current positioning
- Market context, competitors, and customer insights
- Company resources, constraints, and priorities
- Any relevant business or market data
Product Strategy Canvas Template
1. Vision
- How can we inspire people?
- What are we aspiring to achieve?
- What values do we uphold?
2. Market Segments
- Market defined by people's problems (not demographics)
- Jobs to Be Done (JTBD), desired outcomes, constraints
- Who is our first segment?
- Why this segment first?
3. Relative Costs
- Do we optimize for low cost (like Southwest Airlines)?
- Or do we emphasize unique value (like Starbucks)?
- What's our cost position relative to competitors?
4. Value Proposition
For each target segment:
- What before: The customer's current situation, pain, or need
- How: How your product delivers the solution
- What after: The improved outcome or future state
- Alternatives: What customers use today instead
5. Trade-offs
- What will we NOT do?
- What features or markets are out of scope?
- How does saying "no" create focus and amplify our value?
6. Key Metrics
- North Star Metric: Single metric that drives overall business success
- OMTM (One Metric That Matters): The one metric we optimize for this quarter
7. Growth
- Sales-Led Growth or Product-Led Growth?
- Primary acquisition channels
- How do we scale?
- What's our unit economics?
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.
- 2mo ago First seen · 112 lines · 57 tokens per session scan A 50d4bfe62ae7
product-strategy is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 15d ago), licensed MIT. It adds 57 tokens to every session and 1,074 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to product-strategy, differing in 0 lines, and is treated as a copy.
product-strategy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| product-strategyyuusakuri/agent-skills | Skill | 2 | 15d ago | MIT | A | 57 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |