agent-team-composer

To generate a multi-agent team, provide a natural-language prompt describing your requirements. The system extracts intent, assigns roles, and renders templates to produce a complete OpenClaw team package with SOUL.md, AGENTS.md, CollaborationRules.md, Contacts.md, and agent-config.yaml.

An OpenClaw multi-agent team scaffold includes SOUL.md, AGENTS.md, CollaborationRules.md, Contacts.md, and agent-config.yaml. These files define team soul, agent roles, collaboration rules, contacts, and model configurations for complete deployment.

Yes, you can automatically assign roles and select models for agents from a text prompt. The system analyzes natural-language requirements to determine responsibilities and renders appropriate model configurations into agent-config.yaml.

Yes, the OpenClaw team generation process includes safety checks for consistency. It fulfills end-to-end generation with intent extraction, role assignment, template rendering, and safety checks to ensure complete, consistent outputs across all generated files.

The best way to set up a complete OpenClaw team structure without manual errors is using natural-language generation. This approach eliminates error-prone manual setup by automatically extracting intent and rendering coherent, ready-to-review team packages.

You need to generate a multi-agent team package when forming a complete team structure for OpenClaw projects. This applies to scenarios requiring defined agent roles, collaboration rules, and model configurations for deployment and collaboration.