orcha-builder

Document YAML and JavaScript schemas for Agent Orcha resources.

18|5|Updated Jan 21, 2026
One-click install
npx skills add https://github.com/ddalcu/agent-orcha --skill orcha-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orcha-builder
Source: https://github.com/ddalcu/agent-orcha/tree/main/templates/skills/orcha-builder
Command: npx skills add https://github.com/ddalcu/agent-orcha --skill orcha-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive documentation and schema definitions for creating, configuring, and managing all types of resources within the Agent Orcha framework, simplifying the development of multi-agent AI systems.

Core Features & Use Cases

  • Resource Schemas: Detailed YAML schemas for defining agents, step-based and ReAct workflows, knowledge stores, and custom functions.
  • Configuration Guides: Explanations for MCP server setup and LLM configuration.
  • Use Case: A new developer joining a project can use this Skill to quickly understand the structure and required fields for defining a new agent or setting up a knowledge store.

Quick Start

Consult the documentation for ORCHA Resource Schemas to define a new agent.

Frequently Asked Questions about orcha-builder

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

FAQPage Schema
How do I define an AI agent using YAML schema definitions?

To define an AI agent using YAML schema definitions, you configure declarative resource structures that specify the agent's properties, LLM configurations, and custom functions for orchestration. This Skill provides the required schema documentation to outline these YAML structures.

How do I set up step-based and ReAct workflows for multi-agent AI systems?

Setting up step-based and ReAct workflows for multi-agent AI systems requires defining declarative YAML schemas that outline the workflow steps and agent interactions. This Skill provides the schema definitions needed to structure and configure these orchestration workflows.

What is needed to configure MCP servers and LLM settings for agent orchestration?

Configuring MCP servers and LLM settings for agent orchestration requires specific documentation on server setup and model parameters. This Skill provides configuration guides that explain how to establish MCP server connections and define LLM properties for your agents.

Can I use this to create a knowledge store for my declarative AI system?

Yes, you can create a knowledge store for your declarative AI system by using the provided YAML schemas. This Skill outlines the required fields and structure for defining knowledge stores within the Agent Orcha framework to support your agents.

What's the best way to manage resources for multi-agent AI workflows?

The best way to manage resources for multi-agent AI workflows is through declarative schema definitions for agents, workflows, and custom functions. This Skill provides comprehensive documentation to simplify the creation and configuration of these orchestration resources.

Does this framework support defining custom functions in JavaScript?

Yes, the framework supports defining custom functions in JavaScript alongside YAML structures. This Skill provides schema definitions that outline how to integrate custom JavaScript functions into your agent workflows and resource configurations.