skills.rest
Nielk74
Nielk74COMMUNITY
Explore all skills by this author →
GitHub

workflow-creator

Create and test multi-agent workflows with workflow.yml and MCP simulation.

Updated Mar 12, 2026
Search Tags:#workflow#testing#optimization#agent#orchestration#OpenCode
One-click install
npx skills add https://github.com/Nielk74/workflow-creator --skill workflow-creator-nielk74
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: workflow-creator
Source: https://github.com/Nielk74/workflow-creator/tree/main
Command: npx skills add https://github.com/Nielk74/workflow-creator --skill workflow-creator-nielk74

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation, testing, and optimization of multi-agent workflows for the OpenCode platform, enabling users to build sophisticated AI teams.

Core Features & Use Cases

  • Workflow Design: Define agent topologies, roles, and communication paths using workflow.yml.
  • Isolated Testing: Test individual agents in isolation using mock responses and a simulated MCP server.
  • Iterative Optimization: Refine agent prompts and descriptions based on evaluation feedback.
  • Use Case: You need to build a team of AI agents to automate customer support ticket analysis. Use this Skill to design the orchestrator and specialist agents, test their interactions, and optimize their performance.

Quick Start

Use the workflow-creator skill to design a new agent workflow for analyzing user feedback.

Frequently Asked Questions about workflow-creator

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

FAQPage Schema
How do I build multi-agent workflows for the OpenCode framework?▼

You can build multi-agent workflows by defining agent topologies, roles, and communication paths using a workflow configuration file to orchestrate sophisticated AI teams.

What is the best way to test individual AI agents in isolation?▼

Testing individual AI agents in isolation is achieved by using mock responses and a simulated MCP server to verify interactions before deploying the full multi-agent workflow.

How do I optimize AI agent prompts and descriptions iteratively?▼

Optimizing AI agent prompts and descriptions iteratively involves refining them based on evaluation feedback to tune the performance of complex multi-agent systems.

Can I design an automated customer support workflow with multiple AI agents?▼

Yes, you can design an automated customer support workflow by creating orchestrator and specialist agents to analyze support tickets, test their interactions, and optimize performance.

Does workflow creation support agent orchestration and topology definition?▼

Agent orchestration and topology definition are supported, allowing you to structure workflow design, define specific agent roles, and map communication paths for complex AI systems.

Why use mock responses and MCP simulation for agent testing?▼

Mock responses and MCP simulation are used for agent testing to safely isolate components, verify individual agent behavior, and refine prompts before integrating the entire multi-agent workflow.

Related Skills

Explore More Software Engineering Skills→
sumik5sumik5
2

agent-developer

Execute coding tasks in isolated Git worktrees with specialized developer roles.

Community
Advanced
informatico-madridinformatico-madrid
1

crewai-multi-agent

Create and execute multi-agent systems for autonomous AI collaboration.

Community
Advanced
Wide-MoatWide-Moat
112

mcp-builder

Guide MCP server design and implementation with evaluation-driven workflows.

Official
Advanced
tankpkgtankpkg
1

@tank/opencode-agent-creator

Create specialized OpenCode agents with roles, expertise, and behavioral directives.

Official
Advanced