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 prioritization-frameworksgit 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/prioritization-frameworks)<a href="https://agentmods.dev/skills/phuryn/pm-skills/prioritization-frameworks"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/prioritization-frameworks.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00068 | $0.01060 |
| Opus 5 | $0.00034 | $0.00530 |
| Sonnet 5 | $0.00014 | $0.00212 |
| Haiku 4.5 | $0.00007 | $0.00106 |
Grade A, and why
prioritization-frameworks 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 8d 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
3 near-identical copies found in the catalogue:
- prioritization-frameworks — 100% identical, 0 lines differ
- prioritization-frameworks — 100% identical, 0 lines differ
- prioritization-frameworks — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prioritization Frameworks Reference
A reference guide to help you select and apply the right prioritization framework for your context.
Core Principle
Never allow customers to design solutions. Prioritize problems (opportunities), not features.
Opportunity Score (Dan Olsen, The Lean Product Playbook)
The recommended framework for prioritizing customer problems.
Survey customers on Importance and Satisfaction for each need (normalize to 0–1 scale).
Three related formulas:
- Current value = Importance × Satisfaction
- Opportunity Score = Importance × (1 − Satisfaction)
- Customer value created = Importance × (S2 − S1), where S1 = satisfaction before, S2 = satisfaction after
High Importance + low Satisfaction = highest Opportunity Score = best opportunities. Plot on an Importance vs Satisfaction chart — upper-left quadrant is the sweet spot. Prioritizes customer problems, not solutions.
ICE Framework
Useful for prioritizing initiatives and ideas. Considers not only value but also risk and economic factors.
- I (Impact) = Opportunity Score × Number of Customers affected
- C (Confidence) = How confident are we? (1-10). Accounts for risk.
- E (Ease) = How easy is it to implement? (1-10). Accounts for economic factors.
Score = I × C × E. Higher = prioritize first.
RICE Framework
Splits ICE's Impact into two separate factors. Useful for larger teams that need more granularity.
- R (Reach) = Number of customers affected
- I (Impact) = Opportunity Score (value per customer)
- C (Confidence) = How confident are we? (0-100%)
- E (Effort) = How much effort to implement? (person-months)
Score = (R × I × C) / E
9 Frameworks Overview
| Framework | Best For | Key Insight |
|---|---|---|
| Eisenhower Matrix | Personal tasks | Urgent vs Important — for individual PM task management |
| Impact vs Effort | Tasks/initiatives | Simple 2×2 — quick triage, not rigorous for strategic decisions |
| Risk vs Reward | Initiatives | Like Impact vs Effort but accounts for uncertainty |
| Opportunity Score | Customer problems | Recommended. Importance × (1 − Satisfaction). Normalize to 0–1. |
| Kano Model | Understanding expectations | Must-be, Performance, Attractive, Indifferent, Reverse. For understanding, not prioritizing. |
| Weighted Decision Matrix | Multi-factor decisions | Assign weights to criteria, score each option. Useful for stakeholder buy-in. |
| ICE | Ideas/initiatives | Impact × Confidence × Ease. Recommended for quick prioritization. |
| RICE | Ideas at scale | (Reach × Impact × Confidence) / Effort. Adds Reach to ICE. |
| MoSCoW | Requirements | Must/Should/Could/Won't. Caution: project management origin. |
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.
- 8d ago First seen · 76 lines · 68 tokens per session scan A 5dab45be9e46
prioritization-frameworks is a skill published in the GitHub repository phuryn/pm-skills (26,066 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 1,060 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 2026-08-30.
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