workflow-builder

What problem does it solve?

This skill provides a reusable engine to define and run multi-step agent workflows using YAML, reducing custom scripting and accelerating automation design.

Core Features & Use Cases

• Declarative YAML workflow definitions for orchestrating multiple agents and tasks.
• Variable interpolation, conditional execution, and robust error handling across steps.
• Real-world use: coordinate data processing, analysis, and reporting pipelines with clear inputs and outputs.

Quick Start

Create a workflow YAML under workflows/definitions, then validate and execute it using the Workflow Executor or an MCP workflow server. No special tooling beyond a Python environment and standard libraries is required to start experimenting.