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 aroyburman-codes/pm-skills --skill product-strategygit clone --depth 1 https://github.com/aroyburman-codes/pm-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/aroyburman-codes/pm-skills/product-strategy)<a href="https://agentmods.dev/skills/aroyburman-codes/pm-skills/product-strategy"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-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/aroyburman-codes/pm-skills/product-strategy"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-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 | $0.00030 | $0.01373 |
| Opus 5 | $0.00015 | $0.00687 |
| Sonnet 5 | $0.00006 | $0.00275 |
| Haiku 4.5 | $0.00003 | $0.00137 |
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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Strategy Skill
Apply a structured framework to PM product strategy questions targeting AI product roles.
When to Use
- User asks "What strategy would you use for X"
- User asks "How would you enter market X"
- User asks "Define the product strategy for X"
- User asks "How would you decide between X and Y" (strategic choice)
- User asks about competitive positioning, market entry, or long-term vision
- User says
/product-strategyfollowed by a question - Any question about go-to-market, competitive dynamics, build-vs-buy, or strategic direction
Context
- Tuned for: AI product roles at frontier AI companies
- What matters: Zooming out to the 30,000-foot view. These companies operate at the frontier — the best strategic thinking reasons about where the market is going, not just where it is.
- Common pitfall: Not landing a clear position. You must identify where the moat is, where commoditization is happening, and connect mission to business goals.
Framework: Product Strategy (5 Sections)
Section 1: Strategic Alignment & Clarifications
Ask 3-5 clarifying questions:
- Scope: Which product line? What timeframe (6mo vs 3yr vs 10yr)?
- Constraints: Are we resource-constrained? What's the competitive urgency?
- Success: What does winning look like? Revenue? Market share? Mission impact?
- Context: Any recent market shifts or company announcements to consider?
State the strategic question clearly in one sentence. Then:
- Company Mission: Restate and connect to the question
- Current Position: Where does the company stand today on this?
- Strategic Tension: What's the core trade-off or decision at the heart of this question?
Section 2: The Landscape (Market & Leverage)
Market Analysis:
- Market size (TAM/SAM/SOM) with reasoning
- Growth rate and trajectory
- Key trends reshaping the landscape (AI adoption, regulation, platform shifts)
Competitive Map:
- Direct competitors and their positioning
- Indirect competitors and substitutes
- Where is the market commoditizing? Where is there differentiation?
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.
- 11d ago First seen · 119 lines · 30 tokens per session scan A 8e9c46fe0aa6
product-strategy is a skill published in the GitHub repository aroyburman-codes/pm-skills (25 stars, last pushed 6mo ago), licensed MIT. It adds 30 tokens to every session and 1,373 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 2026-08-30.
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