# ai-workflow-orchestrator-docs

> ai-workflow-orchestrator-docs — ravinderji-ai-workflow-orchestrator-docs. Use this tool when you need to integrate and orchestrate complex AI workflows, combining multiple Large Language Models (LLMs), tools, and services with minimal coding effort. It solves problems of workflow management, model integration, and protocol compatibility, providing a lightweight and flexible framework for AI workflow automation. Ideal for use cases involving multiple AI models, tools, and services, it takes in workflow definitions and model configurations as inputs and outputs orchestrated workflow executions.

Canonical page: https://skillsregistry.net/skills/ravinderji-ai-workflow-orchestrator-docs  
JSON: https://api.skillsregistry.net/v1/skills/ravinderji-ai-workflow-orchestrator-docs

## Description

A lightweight, Spring Boot–friendly plugin framework** to orchestrate complex AI workflows — integrating multiple LLMs, tools, and [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) services with zero boilerplate

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ravinderji/ai-workflow-orchestrator-docs)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ravinderji-ai-workflow-orchestrator-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ravinderji-ai-workflow-orchestrator-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ravinderji-ai-workflow-orchestrator-docs/pull`

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