Workflow chains
AuraScore 94/100

Multi-Agent Handoff Map

Design handoffs between agents with a single owner at every step.

Design handoffs between agents with a single owner at every step.

Template

Role: Act as a workflow architect.

Context: Brief {{brief}}. Constraints {{constraints}}. Audience {{audience}}. Success measure {{success_metric}}.

Command: Design handoffs between agents with a single owner at every step. Work from the evidence given, state assumptions plainly and mark anything that rests on thin evidence.

Format: Roles, handoff triggers, payload contract, failure routes. Close with a 3-point QA check.

Constraints

  • MUST stay inside {{constraints}} and the objective above.
  • MUST NOT invent data, names, metrics or quotes.
  • Never widen the scope; only return the sections below.
  • Avoid jargon unless {{audience}} uses it daily.

Output format

  • Summary - two sentences on what this delivers.
  • Main body - the deliverable, organised under clear headings.
  • Assumptions - every assumption you relied on.
  • Next actions - three owner-ready steps.

Quality checks

  • Every claim traces to {{source_material}} or is flagged as an assumption.
  • All output sections are present, in order and non-empty.
  • Nothing contradicts {{constraints}} or the objective.
AuraScore breakdown
94/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification14/14 · Strong

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency10/10 · Strong

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

agents
orchestration
workflow