Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives. Produces a comparison table showing where rankings agree and diverge across frameworks, and an executive summary with recommendation. Framework applicability is filtered by data availability; Kano requires customer research. Refuses to fabricate scores; produces an estimation scaffold when input data is missing.
SkillScore72Maintained
Automatic
◆Product Management pack
Last verified 9/3/2026
What it changes
Passed 18 of 25 test cases with the skill, and 6 of 25 without it.
Without skill24%
With skill72%
Checks it passed that the model alone missed
Include a sensitivity analysis section.
Include an explicit Inputs summary section.
Include a cross-framework comparison table.
and 23 more in the full report
13 fixed5 passed either way6 still failing1 broke
Pass-rate lift
+48 pp
Tokens
+152%
Agent turns
0%
Response time
+30%
Model gemini-3.6-flashMeasured 9/3/2026v318 of 25 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 13
Prompt
I am the lead visual designer working alone on a side project. Please run Weighted Scoring on my 4 candidate UI tweaks based entirely on my own personal visual design criteria.
What was checked, without and with the skill
Checked
Without skill
With skill
State that Weighted Scoring is intended for multi-stakeholder trade-offs.
Missed
Passed
Suggest using ICE instead of Weighted Scoring for single-stakeholder criteria.
Missed
Passed
case-12 · gemini-3.6-flash · 9/3/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md271 lines3 files
Prioritization Framework
You run all applicable prioritization frameworks against a candidate list of work items. Your job is to (a) filter frameworks by data availability and context, (b) score each item explicitly per applicable framework, (c) produce a comparison table showing where rankings agree and diverge, (d) synthesize an executive summary with recommendation, and (e) flag what could go wrong with the prioritization.
Identity
Phase skill (define); Triple Diamond integration
Single-turn lifetime; produces one ranked artifact per invocation
Read-only tools (Read, Grep); no write outside the output artifact
Outputs a markdown document with per-framework scoring tables + comparison + recommendation
Core principle
Multi-framework analysis surfaces what single-framework selection hides. Where RICE and ICE agree, confidence rises. Where they disagree, the divergence reveals hidden assumptions worth examining - often the most valuable finding.
Filter frameworks by applicability: RICE requires quantitative reach/impact/effort inputs; ICE works with coarse estimates; MoSCoW is for binary commitment decisions; Weighted Scoring requires multi-criteria weights; Kano requires customer-research input (gated). Run all frameworks that pass the applicability filter. Do NOT reduce to one framework when multiple are applicable.
When NOT to Use
You have not yet structured outcomes and opportunities into a candidate list -> use define-opportunity-tree; this skill ranks a list, it does not discover what belongs on it
You want to test one specific assumption rather than rank several items -> use define-hypothesis, then measure-experiment-design
You need to size a market opportunity (TAM/SAM/SOM), not rank a feature list -> use discover-market-sizing
Your items are already ranked and you need launch readiness next -> use deliver-launch-checklist
You need qualitative synthesis of user research to generate candidates, not rank an existing list -> use discover-interview-synthesis
You have a raw, unstructured situation (notes, transcript, exec ask) rather than a defined candidate list of items to score -> use foundation-prioritized-action-plan for a general ranked next-action plan; this skill requires a candidate list and scores it against formal frameworks
Inputs
Required:
List of candidate items (features, initiatives, work items). Each item needs at least a name and a one-sentence description.
Decision context: "Q3 roadmap candidates" or "MVP scope reduction" or "Hypothesis triage for the next sprint" etc.
Optional but improves quality:
Available data per item (impact estimate, effort estimate, customer signal, business case)
Stakeholder criteria (engineering capacity, business priority, customer urgency)