Instructions
Use this skill when you are setting up or iterating on Claude Managed Agents that use memory, outcomes (rubric + grader), multiagent orchestration (lead + specialists), and/or webhooks.
- Define the run goal and constraints
- Write a short success statement (1–3 sentences).
- List non-goals and constraints (latency, cost, safety, data access).
- Write an outcomes rubric
- Use the rubric template in
templates/outcomes-rubric.md. - Keep criteria testable: each criterion should be answerable with Yes/No or a small ordinal scale.
- Add “failure modes” that the grader should look for.
- Plan multiagent orchestration
- Identify whether you need a lead agent and which specialist agents are required.
- Keep specialists narrow and tool-focused; avoid overlapping scopes.
- Use the role glossary in
references/role-glossary.mdto keep terminology consistent.
- Add a dreaming/memory review loop
- After runs, review what the agent learned and what it missed.
- Use
references/dreaming-review-checklist.mdto capture recurring mistakes, preferred workflows, and user-specific preferences.
- Integrate webhooks (if needed)
- If your product needs async completion notifications, add a webhook for “outcome done” events.
- Treat webhook delivery as best-effort and design idempotent handlers.
Examples
Example: outcomes rubric skeleton
See templates/outcomes-rubric.md.
Example: role mapping
See references/role-glossary.md.
Example: dreaming review checklist
See references/dreaming-review-checklist.md.