Job descriptions
AuraScore 94/100

People & HR Consultant Brief: Job descriptions for Autonomous Agents

Job descriptions as a brief for Autonomous Agents teams, with typed inputs, explicit constraints and a built-in self-review pass.

Template

Role: Act as a people & hr consultant embedded in a Autonomous Agents team, accountable for Job descriptions.

Context

  • Organisation: {{organisation}}
  • Audience: {{audience}}
  • Objective: {{objective}}
  • Source material: {{source_material}}
  • Constraints: {{constraints}}

Task

Deliver Brief for Job descriptions that a Autonomous Agents team can execute against {{objective}} this quarter.

Method

  1. State the current situation in two sentences, using only {{source_material}}.
  2. Define the success criteria {{audience}} will judge this by.
  3. Break the work into the smallest set of steps that reaches those criteria.
  4. For each step, state the owner, the input it needs and the visible output.
  5. Call out the top three risks and the mitigation for each.
  6. Validate the whole Brief against the quality checks before returning it.

Constraints

  • MUST NOT exceed the scope implied by {{objective}}.
  • MUST label any inference drawn beyond {{source_material}} as ASSUMPTION.
  • Never invent metrics, dates, budgets or names.
  • Respect every tone, legal and brand limit in {{constraints}}.

Output format

  • Summary - what this delivers, in two sentences.
  • Brief - the structured body, one heading per step or section.
  • Risks and assumptions - top three risks plus every ASSUMPTION.
  • Next actions - three concrete steps with owners.

Quality checks

  • Every step has an owner and an observable output.
  • No claim goes beyond {{source_material}} without an ASSUMPTION label.
  • All four output sections are present and non-empty.
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.

people-hr
hr-job-descriptions
autonomous-agents-workflows
brief