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JTBD workflow classification and routing - ODI two-phase framework, five job types with workflow sequences, baseline type selection, workflow anti-patterns, and common recipes
Passed 19 of 22 test cases with the skill, and 4 of 22 without it.
and 23 more in the full report
15 fixed4 passed either way3 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.
A software engineer wants to clean up a single tightly-coupled utility class within a helper module. The change is small, isolated, and straightforward. What minimal micro-workflow sequence should be used for this minor code cleanup?
| Checked | Without skill | With skill |
|---|---|---|
| recommends starting with root-why before applying the mikado method | Missed | Passed |
| specifies the incremental refactor step after mikado | Missed | Passed |
The instructions your model reads when the skill loads.
Classify incoming work by job type and recommend the appropriate nWave workflow entry point. Use during Phase 1 (GATHER) to triage before crafting stories.
Determine which phase applies before proceeding.
Phase 1: Discovery -- when you do not know what to build
[research] --> discuss --> design --> distill
| | | |
GATHER WHAT are HOW should WHAT does
evidence the needs? it work? "done" look like?
Phase 2: Execution Loop -- when you know what needs to change
[research] --> baseline --> roadmap --> split --> execute --> review
| | | | | |
GATHER MEASURE PLAN it BREAK it DO each CHECK
evidence first completely into atoms task quality
|
<-----------+ (loop per task)
Key insight: research is a cross-wave capability invocable at any point for evidence-based decisions.
Skip discovery and enter execution loop directly when ALL hold:
If any fail, start with discovery (DISCUSS wave).
test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.