Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/matteotitta/genesys-skillsnpx agentmods add skills/matteotitta/genesys-skills/strategy-docWrote 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/matteotitta/genesys-skills/strategy-doc)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/strategy-doc"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/strategy-doc/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/matteotitta/genesys-skills/strategy-doc"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/strategy-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00154 | $0.02112 |
| Opus 5 | $0.00077 | $0.01056 |
| Sonnet 5 | $0.00031 | $0.00422 |
| Haiku 4.5 | $0.00015 | $0.00211 |
Grade A, and why
strategy-doc 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 9d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product strategy doc — 5-part GSBS structure
Produce a locked product strategy document that anchors the agent-native PM operating loop. Adapted from /ce-strategy in EveryInc/compound-engineering-plugin v3.5.0 (MIT). Based on Marcus Moretti's AI PM Guide (Every.to) and Richard Rumelt's Good Strategy Bad Strategy.
This is not a spec or PRD. Strategy describes the guiding policy (what we'll do and why); requirements describe the artifacts (what we'll build). Keep them separate.
When to run
Invoke when the user says:
- "Run product strategy for [Genesys ship / client product]"
- "What's our strategy for [product]?"
- "Time for the quarterly strategy refresh"
- "Run the strategy interview"
Do NOT invoke when:
- User wants positioning / category framing →
/positioning(PMM-side, different artifact) - User wants a feature spec / PRD → external
product-management:write-specplugin - User wants the daily product pulse →
/product-pulse(downstream of this skill) - User wants post-ship learnings →
/ship-learnings
Workflow sequences:
- New product:
company-context → icp-research → positioning → strategy-doc → product-pulse → ship-learnings - Refresh:
ship-learnings (last cycle) + product-pulse (last cycle) → strategy-doc (refreshed)
Inputs
Required:
- Product name + 1-line description
- Stakeholder for review (founder / PM / ops lead)
Recommended (improve quality):
company-context— firmographics, traction, qualification contexticp-research/icp-behavioural— sharpens the "who-for" sectionpositioning— gives anchors and differentiators (the "approach")win-loss-analysis— what users actually pay for vs. ignore- Latest
product-pulseandship-learningsfrom prior cycle (for refresh runs)
If inputs missing: Run a 5-section guided interview anyway. Flag data gaps. Recommend running upstream skills before lock.
The 5 parts (GSBS structure)
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.
- 9d ago First seen · 181 lines · 154 tokens per session scan A 08cc436679e8
strategy-doc is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session and 2,112 once invoked, about $0.0008 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.
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