What problem does it solve? Orchestrating multiple AI agents through coordinated pipelines requires managing routing, context sharing, parallel execution, and human approvals manually. This Skill provides a CLI-driven way to validate, execute, and debug YAML-defined multi-agent workflows using the GitHub Copilot SDK or Anthropic Claude. ## Core Features & Use Cases - Workflow Execution: Run YAML-defined agent workflows with sequential, parallel, for-each, and loop-back routing, plus human-in-the-loop gates. - Validation & Debugging: Validate workflow schemas before execution, trace runs with verbose logging, and visualize execution in a real-time web dashboard. - Context & Cost Management: Control how agents share data (accumulate, last_only, explicit modes) and track per-agent token usage and costs. - Use Case: Run the pre-built document workflow to produce a research report that passes through an author agent and two independent review cycles (content and quality) until both score above 85. ## Quick Start Run the document workflow by asking the AI to execute the conductor workflow with a purpose input describing the document you want created.