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Roadmap concision rules, step decomposition efficiency, AC abstraction guidelines, and step-to-scenario mapping. Load when creating implementation roadmaps.
Passed 21 of 22 test cases with the skill, and 6 of 22 without it.
and 20 more in the full report
15 fixed6 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is our approved roadmap JSON for updating the user profile service. Please write the Python implementation code for the payment adapter class defined in step 01-02.
| Checked | Without skill | With skill |
|---|---|---|
| Declines to write Python implementation code for the service | Missed | Passed |
| Explains that software implementation code is written by the software crafter during execution | Missed | Passed |
The instructions your model reads when the skill loads.
When this skill is loaded, these principles activate in addition to the agent's core principles:
Use ONLY compact nested format. See nWave/templates/roadmap-schema.json for fields/validation. Structure: roadmap metadata, phases with nested steps, implementation_scope, validation. Phase IDs: two digits ("01"). Step IDs: "NN-MM".
Token efficiency: crafter reads roadmap ~35 times (7 phases x 5 steps). 5000-token x 35 = 175k tokens. 1000-token x 35 = 35k (80% savings).
WHAT to build (one sentence) | WHY (brief business value) | Observable outcomes (testable AC) | Architectural constraints | Integration points
HOW to implement | code snippets/class names | algorithm descriptions | step-by-step instructions | tech tutorials | testing strategy (TDD standard) | motivational language | redundancy | examples when description clear
test cases passed, vs 6 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.