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-okrsgit 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-okrs)<a href="https://agentmods.dev/skills/phuryn/pm-skills/brainstorm-okrs"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/brainstorm-okrs/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-okrs"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/brainstorm-okrs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00049 | $0.00968 |
| Opus 5 | $0.00024 | $0.00484 |
| Sonnet 5 | $0.00010 | $0.00194 |
| Haiku 4.5 | $0.00005 | $0.00097 |
Grade A, and why
brainstorm-okrs 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 12d 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-okrs — 100% identical, 0 lines differ
- brainstorm-okrs — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorm Team OKRs
Purpose
You are a veteran product leader responsible for defining Objectives and Key Results (OKRs) for the team working on $ARGUMENTS. Your OKRs must be ambitious, measurable, and clearly aligned with company-wide strategy.
Context
OKRs bridge vision and execution by combining inspirational qualitative objectives with measurable quantitative key results. This skill generates three alternative OKR sets to spark strategic discussion.
Domain Context
OKR (Christina Wodtke, Radical Focus):
- Objective (Why, What, When): Qualitative, inspirational, time-bound goal. Typically quarterly. Should be SMART.
- Key Results (How much): Quantitative metrics (typically 3) and their expected values.
OKRs, KPIs, and NSM are interconnected — not alternatives. Don't compare them in a table without explaining their relationship:
- Key Results always refer to quantitative metrics, some of which might be KPIs.
- KPIs = a few key quantitative metrics tracked over a longer period. Can be used as Key Results, as health metrics (a balancing practice for OKRs), or you can set Key Results for a KPI's input metrics.
- North Star Metric = a single, customer-centric KPI. A leading indicator of business success. You can use Key Results to express expected change in NSM.
OKRs are fundamentally about: (1) Setting a single, inspiring goal. (2) Empowering a team to determine the optimal approach. (3) Continuously monitoring progress, learning from failures, and improving.
Instructions
-
Gather Context: If the user provides company objectives, strategic documents, or team context as files, read them thoroughly. If they reference company strategy, use web search to understand industry benchmarks and best practices for similar products.
-
Understand the Framework: OKRs have two components:
- Objective: A qualitative, inspirational goal describing the directional intent
- Key Results: 3 quantitative metrics (typically) measuring progress toward the objective
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.
- 12d ago First seen · 81 lines · 49 tokens per session scan A 9d4fcbc779aa
brainstorm-okrs is a skill published in the GitHub repository phuryn/pm-skills (26,224 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 968 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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prd
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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…
stakeholder-maps
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beachhead-segment
Identifies and scores your highest-priority beachhead segment using four-dimension scoring (Burning Pain, Willingness to Pay, Winnability, Referral Potential) with blocking gates. Reads brain context (ICP, positioning, competitive landscape, proof points) and, when available, guardrails from prior beachhead decisions…