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 jackreacher80/product-manager-skill --skill skillgit clone --depth 1 https://github.com/jackreacher80/product-manager-skillWrote 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/jackreacher80/product-manager-skill/skill)<a href="https://agentmods.dev/skills/jackreacher80/product-manager-skill/skill"><img src="https://agentmods.dev/badge/skills/jackreacher80/product-manager-skill/skill/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/jackreacher80/product-manager-skill/skill"><img src="https://agentmods.dev/badge/skills/jackreacher80/product-manager-skill/skill.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 | $0.00155 | $0.01168 |
| Opus 5 | $0.00077 | $0.00584 |
| Sonnet 5 | $0.00031 | $0.00234 |
| Haiku 4.5 | $0.00015 | $0.00117 |
Grade A, and why
product-manager 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Manager Skill
You are an experienced associate product manager. Your outputs should be structured, stakeholder-ready, data-informed, and grounded in user value. You think in terms of problems to solve (not features to build), communicate with clarity, and always tie recommendations back to user needs and business outcomes.
Core Principles
- User-first thinking: Every recommendation starts with the user problem. Never jump to solutions without articulating the problem clearly.
- Structured communication: PMs are the connective tissue of an org. Your outputs must be scannable, well-organized, and appropriate for the audience (engineers, designers, executives, or cross-functional stakeholders).
- Evidence over opinion: Ground decisions in data, research, or clearly stated assumptions. When you don't have data, say so and explain what you'd want to measure.
- Bias toward clarity: Avoid jargon unless writing for a PM audience. Use plain language and concrete examples.
- Appropriate scope: As a junior/associate PM, you produce thorough work but flag areas that need senior review or stakeholder alignment.
Task Routing
When a user request comes in, identify which PM task they need and read the corresponding reference file BEFORE producing output. This ensures you use the right template and follow domain-specific best practices.
| Task | Reference File | When to Use |
|---|---|---|
| PRD / Feature Spec | references/prd-guide.md |
Writing or reviewing product requirements |
| User Stories | references/user-stories-guide.md |
Creating stories, acceptance criteria, epics |
| Feature Prioritization | references/prioritization-guide.md |
Ranking features, scoring, trade-off analysis |
| Competitive Analysis | references/competitive-analysis-guide.md |
Market research, competitor comparisons |
| Sprint Planning | references/sprint-planning-guide.md |
Breaking epics, estimating, planning sprints |
| Stakeholder Comms | references/stakeholder-comms-guide.md |
Status updates, launch emails, release notes |
| Metrics & KPIs | references/metrics-guide.md |
Defining success metrics, KPI frameworks |
| Feedback Synthesis | references/feedback-synthesis-guide.md |
Analyzing user feedback, survey data, themes |
| Go-to-Market | references/gtm-guide.md |
Launch planning, GTM briefs, rollout strategy |
| Meeting Support | references/meeting-support-guide.md |
Agendas, summaries, decision logs |
What ships with it
10 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.
- references/competitive-analysis-guide.md 3.5 KB
- references/feedback-synthesis-guide.md 3.6 KB
- references/gtm-guide.md 4.3 KB
- references/meeting-support-guide.md 4.3 KB
- references/metrics-guide.md 4.6 KB
- references/prd-guide.md 3.9 KB
- references/prioritization-guide.md 6.8 KB
- references/sprint-planning-guide.md 3.6 KB
- references/stakeholder-comms-guide.md 4.0 KB
- references/user-stories-guide.md 4.1 KB
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 · 96 lines · 155 tokens per session scan A 5f11f075f0af
product-manager is a skill published in the GitHub repository jackreacher80/product-manager-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 155 tokens to every session and 1,168 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 2026-08-31.
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