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Coordinate specialists into a coherent proposal
Assign domain questions to specialist agents and synthesize a consistent decision proposal.
Goal
Goal: Assign domain questions to specialist agents and synthesize a consistent decision proposal.
Steps
- Define the deliverable and decision points; give each specialist a bounded role, source materials, and response format. [specialists]
- Create specialists with
make_agent(name, description, system, tools)and grant only role-relevant tools. [specialists] - Have the coordinator dispatch work, combine dependent findings, and preserve unresolved conflicts instead of inventing consensus. [specialists]
How to verify
Check the proposal for each specialist’s evidence, dependencies, unresolved items, and tool boundaries.
Troubleshooting
If tasks overlap or conflict, clarify boundaries and preserve dissent; do not force artificial consensus.
Permissions
Prerequisites
- Python 3.11+, Anthropic API key, Managed Agents beta SDK, and non-sensitive case materials that may be shared.
Permissions
- Bound each specialist’s data and tools; split confidential data only as authorized and prevent irrelevant cross-role exposure.
Limitations
This is a proposal workflow; control parallel costs and require domain-expert sign-off for consequential decisions.
Pinned upstream source
- Repository
- anthropics/anthropic-cookbook
- File path
- managed_agents/CMA_coordinate_specialist_team.ipynb
- Pinned commit
9c1e493ddd2b82df399d2a61b9c806c539e18be6- Source checked
- 2026-10-14 · Reviewed against the pinned upstream source
Repository metrics
These values describe the upstream repository, not popularity or likes for an individual skill or playbook.
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License: MIT
Main topic
Turn ecommerce campaign materials into a reviewable weekly brief