Bootstrap template evaluation

Bootstrap Template Evaluation

Use this skill when a pre-built template likely covers the target use case.

Interactive Q&A protocol (mandatory)

<HARD-GATE> BEFORE the first scoping question, search for a structured question tool (e.g., `AskUserQuestion` or similar interactive widget) and load it. Use that tool for EVERY scoping question. Fall back to plain-text lettered options ONLY if no such tool exists in the environment. </HARD-GATE>

If template choice is ambiguous, ask one question at a time using the structured question tool (loaded per the HARD-GATE above).

Example question structure:

Which template family best matches your goal?
A) AI writing detection
B) Code quality
C) Unsure, list all templates first

Rules:

• Ask one question per message.
• Use the structured question tool for every question. Structure each with a short header, 2-4 options with labels and descriptions, and place the recommended option first. Do not add "(Recommended)" or similar annotations to option labels.
• Ask one follow-up only when needed.

Workflow

1. Discover templates:
   • Call list_templates.
2. Select template:
   • Match use case to template slug.
3. Provision private dataset:
   • Call provision_template(slug).
4. Deploy live evaluation:
   • Call create_and_deploy_evaluation(dataset_id).
   • Capture api_key immediately because it is returned only once.
5. Verify:
   • Run run_eval with representative inputs.
6. Return deployment artifacts:
   • dataset_id
   • live_evaluation_id
   • verification result

Guardrails

• If no template fits, hand off to create-evaluation.
• Do not skip verification after deployment.

Scopes reference

• list_templates requires datasets:read
• provision_template requires datasets:write
• create_and_deploy_evaluation requires evaluations:write, live-evaluations:write
• run_eval requires live-evaluations:execute