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Runs a timeboxed PROBE to validate one core assumption, then optionally PROMOTES the probe into a walking skeleton — the first e2e thin slice of the feature, committed and demo-able. Use after DISCUSS when the feature involves a new mechanism, performance requirement, or external integration.
Passed 11 of 17 test cases with the skill, and 4 of 17 without it.
and 7 more in the full report
10 fixed4 passed either way7 still failing1 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.
Upon completing Phase 3 walking skeleton for feature `billing-engine`, which role and next wave in the development pipeline receives handoff?
| Checked | Without skill | With skill |
|---|---|---|
| hands off to nw-solution-architect for DESIGN wave | Missed | Passed |
The instructions your model reads when the skill loads.
Wave: SPIKE (between DISCUSS and DESIGN) | Agent: Attila (nw-software-crafter) | Command: /nw-spike
Execute a two-phase wave that turns a risky assumption into visible, iterable value as fast as possible:
/tmp/)src/ + 1 acceptance test)The PROBE answers "does the mechanism work?". The WALKING SKELETON answers "can a user see it working end-to-end?". You never throw away working validated code — you promote it and iterate.
The spike is needed when the feature introduces:
If none of the above apply, skip SPIKE and go to DESIGN.
docs/feature/{feature-id}/discuss/ (required)
user-stories.md — scope and acceptance criteriawave-decisions.md — constraints and assumptions to testdocs/feature/{feature-id}/diverge/recommendation.md (if present)Question: What is the ONE assumption you need to validate? Examples:
.git/hooks/ from a subprocess without corruption?"test cases passed, vs 4 / 17 without
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