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Comprehensive prioritization framework expert covering 9 methods with scoring tools and decision guidance for product managers.
Passed 17 of 22 test cases with the skill, and 9 of 22 without it.
and 8 more in the full report
8 fixed9 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our lead developer wants to know which specific frameworks are directly supported by automated scoring inside the script prioritization_scorer.py. What are the 5 supported framework keys?
| Checked | Without skill | With skill |
|---|---|---|
| Lists rice, ice, opportunity, moscow, and weighted as the supported framework keys. | Missed | Passed |
The instructions your model reads when the skill loads.
A comprehensive reference to 9 prioritization frameworks with automated scoring, ranking, and guidance on which framework to use in which situation. The core principle: prioritize problems (opportunities), not features. Features are solutions to problems. If you prioritize features directly, you skip the step of understanding whether the problem is worth solving.
references/frameworks-catalog.md).prioritization_scorer.py ranks items for RICE, ICE, Opportunity, MoSCoW, and Weighted Decision Matrix.Before scoring, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
prioritization_scorer.py | Score and rank items | python scripts/prioritization_scorer.py --input items.json --framework rice |
prioritization_scorer.py | Demo with sample data | python scripts/prioritization_scorer.py --demo --framework rice |
Supported frameworks: rice, ice, opportunity, moscow, weighted. See references/tool-and-troubleshooting.md for input JSON schemas and flags.
test cases passed, vs 9 / 22 without
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