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Use this workflow recipe when a question benefits from several independent perspectives followed by a single evidence-based synthesis.
Passed 20 of 22 test cases with the skill, and 10 of 22 without it.
and 18 more in the full report
11 fixed9 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are deciding whether to refactor our legacy monolith into a serverless architecture or stick to a modular monolith model. Please evaluate this decision concurrently from three distinct perspectives: infrastructure cost, developer velocity, and operational reliability. Synthesize these viewpoints into a clear decision output that gives us a final recommendation, the primary supporting reasons, and any key uncertainties that need further validation.
| Checked | Without skill | With skill |
|---|---|---|
| The implementation uses parallel execution constructs to run the analysis branches concurrently. | Missed | Passed |
| The workflow creates dedicated Agent instances for each individual analysis branch. | Missed | Passed |
| The synthesizer extracts a structured output object with a recommendation field. | Missed | Passed |
The instructions your model reads when the skill loads.
Turn the user's request into a temporary fan-out/fan-in workflow. Keep the number and focus of branches appropriate to the request; do not create roles just to make the workflow look larger.
recommendation, reasons, and uncertainties.
Keep branch content as text unless a later control-flow decision genuinely
needs typed fields.parallel([...]); preserve the input
order when passing results to the synthesizer.parallel returns None for a failed independent branch. Handle that value
explicitly, and let the workflow or its caller decide whether a single,test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.