Agent skill · product strategy · deanpeters
prioritization-advisor
Choose a prioritization framework based on stage, team context, and stakeholder needs. Use when deciding between RICE, ICE, value/effort, or another scoring approach.
Why this skill is useful
Provides tailored guidance on selecting prioritization frameworks based on specific product contexts and stakeholder needs, which the AI wouldn't reliably generate on its own.
What it needs
About 10k tokens when loaded. Last updated 2026-07-17. 6,302 stars on the source repository.
What this skill does
Purpose Guide product managers in choosing the right prioritization framework by asking adaptive questions about product stage, team context, decision-making needs, and stakeholder dynamics. Use this to avoid "framework whiplash" (switching frameworks constantly) or applying the wrong framework (e.g., using RICE for strategic bets or ICE for data-driven decisions). Outputs a recommended framework with implementation guidance tailored to your context. This is not a scoring calculator—it's a decision guide that matches prioritization frameworks to your specific situation. Input Works best with: What you're trying to prioritize and why now (sprint planning, roadmap, stakeholder fight). Also useful: Product stage, team size, data availability, and frameworks you've tried that failed. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. Arriving empty-handed? That works too. The advisor opens by asking about your product stage and the decision you need the framework to make. Example invocation: Help me pick a framework: seed-stage B2B startup, 40-item backlog, zero usage data, loud enterprise prospect. Key Concepts The Prioritization Framework Landscape Common frameworks and when to use them: Scoring frameworks: RICE (Reach, Impact, Confidence, Effort) — Data-driven, requires metrics ICE (Impact, Confidence, Ease) — Lightweight, gut-check scoring Value vs. Effort (2x2 matrix) — Quick wins vs. strategic bets Weighted Scoring — Custom criteria with stakeholder input Strategic frameworks: Kano Model — Classify features by customer delight (basic, performance, delight) Opportunity Scoring — Rate importance vs. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills deanpeters/prioritization-advisor