workflow-runner

Multi-agent YAML workflows execute directly in your chat by parsing task dependencies and role-based instructions within the current LLM context. The system handles DAG-based task orchestration and automated role-switching to coordinate specialized agents.

Yes, multi-role orchestration works without external API dependencies or CLI setups. The skill executes structured YAML workflows entirely within the current chat session, managing role hand-offs for complex tasks like PRD reviews or content creation.

DAG execution handles task dependencies and parallel steps by parsing the defined workflow structure in the YAML file. It coordinates the execution sequence based on dependencies, ensuring automated role-switching occurs correctly across multi-step technical reviews.

Start a multi-agent workflow by running the workflow defined in a YAML file, such as story-creation.yaml. This initiates the multi-agent collaboration process, parsing role-based instructions to manage hand-offs between specialized agents like Product Managers and Architects.

No, you do not need external API keys to execute multi-role AI collaboration. The skill operates entirely within the current LLM context, eliminating the need for external API configurations or complex command-line interface environments.

Use YAML-based multi-agent orchestration for complex project management, collaborative content creation, and multi-step technical reviews. It is necessary when a task requires defined DAG-based dependencies and automated role-switching that single-prompt interactions cannot manage.