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Transform output-based feature lists into outcome-driven Now/Next/Later roadmaps using the "so what?" technique.
Passed 16 of 22 test cases with the skill, and 10 of 22 without it.
and 6 more in the full report
7 fixed9 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are transforming our feature list for our e-commerce platform into outcome statements. We have: '1-click checkout' (Target: enterprise buyers, Goal: reduce cart abandonment by 15%, Impact: increase enterprise ARR). Just draft the transformed outcome statement for this feature.
| Checked | Without skill | With skill |
|---|---|---|
| The output formats the initiative statement starting with the phrase 'Enable enterprise buyers'. | Passed | Passed |
| The output includes a 'so that' clause specifying business impact. | Missed | Passed |
The instructions your model reads when the skill loads.
The agent transforms output-based roadmaps ("build feature X") into outcome-driven roadmaps ("enable customers to achieve Y") using the "so what?" technique and Now/Next/Later framing. It produces roadmaps that communicate strategy and measurable impact, not just feature lists and dates.
Before transforming the roadmap, 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.
python scripts/roadmap_transformer.py --input roadmap.json # transform a roadmap
python scripts/roadmap_transformer.py --input roadmap.json --format markdown
python scripts/roadmap_transformer.py --demo # run on built-in demo data
Each input initiative needs title, description, quarter (format "Q[1-4] YYYY"), and type (feature/improvement/infrastructure). The tool emits outcome-statement templates — fill the placeholders with real customer and business data.
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.