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RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
Passed 22 of 22 test cases with the skill, and 9 of 22 without it.
and 14 more in the full report
13 fixed9 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
A developer has written tests and completed peer review for Unit 3. What is the final step required in the unit quality pipeline before submitting to the merge queue?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies the merge-ready report as the final step of the unit quality pipeline. | Missed | Passed |
The instructions your model reads when the skill loads.
Inspired by humanplane style RFC decomposition patterns and multi-unit orchestration workflows.
Use this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.
Each work unit should include:
iddepends_onscopeacceptance_testsrisk_levelrollback_plantest cases passed, vs 9 / 22 without
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