phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.
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 phuryn/pm-skills --skill brainstorm-experiments-newgit clone --depth 1 https://github.com/phuryn/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/phuryn/pm-skills/brainstorm-experiments-new)<a href="https://agentmods.dev/skills/phuryn/pm-skills/brainstorm-experiments-new"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/brainstorm-experiments-new/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/phuryn/pm-skills/brainstorm-experiments-new"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/brainstorm-experiments-new.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00059 | $0.00574 |
| Opus 5 | $0.00030 | $0.00287 |
| Sonnet 5 | $0.00012 | $0.00115 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
brainstorm-experiments-new 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 7d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- brainstorm-experiments-new — 100% identical, 0 lines differ
- brainstorm-experiments-new — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Lean Startup Experiments (New Product)
Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort.
Context
You are helping validate a new product concept: $ARGUMENTS using lean startup methodology.
If the user provides files (market research, landing page mockups), read them first.
Instructions
-
Create an XYZ Hypothesis in the form: "At least X% of Y will do Z"
- X%: The percentage of the target market expected to engage
- Y: The specific target market (e.g., "mid-size luxury sedan buyers")
- Z: How they will engage with the product
-
Suggest 2-3 pretotype experiments to test the hypothesis with minimal effort. Consider:
- Landing Page: Test interest by measuring sign-ups or clicks
- Explainer Video: Test understanding and appeal through engagement metrics
- Email Campaign: Test demand through response and click-through rates
- Pre-Order / Waitlist: Test willingness to pay through skin-in-the-game commitment
- Concierge / Manual MVP: Deliver the service manually to test value
-
Key principles (Alberto Savoia, The Right It):
- Skin-in-the-Game: Test willingness to pay — not just interest. Real commitment (time, money, reputation) is the only reliable signal.
- Your Own Data (YODA): Collect your own data through experiments rather than relying on Others' Data (ODP) like market reports or analogies. "The market for your idea does not care about the market for someone else's idea."
- Measure actual behavior, not users' opinions
-
For each experiment, specify the hypothesis being tested, the method, the metric, and the success threshold.
Think step by step. Save as markdown if substantial.
Further Reading
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.
- 7d ago First seen · 46 lines · 59 tokens per session scan A fe66d9ba76cf
brainstorm-experiments-new is a skill published in the GitHub repository phuryn/pm-skills (26,507 stars, last pushed 7d ago), licensed MIT. It adds 59 tokens to every session and 574 once invoked, about $0.0003 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 2026-09-15.
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beachhead-segment
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privacy-policy
Draft a jurisdiction-aware privacy policy for any digital product — use this skill whenever a PMM or Product Manager needs to create, update, audit, or review data protection documentation, asks about GDPR, CCPA, or UK GDPR obligations, mentions "privacy policy", "cookie policy", "data retention", "right to be…
prd
Guides Product Managers and Product Marketing Managers to co-create complete Product Requirements Documents with embedded Solution Stories. Reads brain context (positioning, ICP, Revenue Levers) to anchor PRDs in strategy. Outputs: structured Solution Story for GTM communications + full PRD for execution alignment.
pre-mortem
Identifies and pressure-tests failure modes for any strategic initiative (product launch, pricing change, GTM pivot, new market entry, feature rollout) by running a cross-functional risk exercise. Loads brain context (ICP, positioning, competitive landscape) and, when available, guardrails from prior pre-mortems…
prioritization-frameworks
Selects and applies the right prioritization framework (9 frameworks: Opportunity Score, ICE, RICE, Eisenhower, Impact vs Effort, Risk vs Reward, Kano, Weighted Decision Matrix, MoSCoW) with PMM interpretation layer and GTM launch tier output (T1–T4). Reads brain context (ICP, positioning, revenue levers) and, when…