workflow-runner

Execute multi-agent YAML workflows by parsing task dependencies and role-based instructions.

21|9|Updated May 27, 2026

Search Tags:#automation #workflow #collaboration #multi-agent #orchestration #yaml

Ready to run

npx skills add https://github.com/cq112233/unibestX --skill workflow-runner-cq112233

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: workflow-runner
Source: https://github.com/cq112233/unibestX/tree/main/.agents/skills/workflow-runner
Command: npx skills add https://github.com/cq112233/unibestX --skill workflow-runner-cq112233

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the complexity of managing multi-role AI collaboration by executing structured YAML workflows directly within the current chat session, eliminating the need for external API keys or complex CLI setups.

Core Features & Use Cases

Multi-Role Orchestration: Automatically coordinates multiple specialized agents to complete complex tasks like PRD reviews or content creation.
DAG Execution: Handles task dependencies and parallel execution steps based on a defined workflow structure.
Use Case: When you need to perform a multi-step project task, such as having a Product Manager draft a requirement and an Architect review it, this Skill manages the hand-off and execution seamlessly.

Quick Start

Run the workflow defined in the file named story-creation.yaml to start the multi-agent collaboration process.

Frequently Asked Questions about workflow-runner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I run multi-agent YAML workflows for collaborative tasks directly in chat?▼

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.

Can I orchestrate multiple AI roles without external API dependencies or CLI setups?▼

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.

How does DAG execution handle task dependencies and parallel steps in workflow automation?▼

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.

What's the best way to start a multi-agent workflow for project management tasks?▼

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.

Do I need external API keys to execute multi-role AI collaboration in my current session?▼

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.

When should I use YAML-based multi-agent orchestration instead of single-prompt AI interactions?▼

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.