# Orchex

> Use this tool when you need to automate complex AI workflows and ensure reliable execution across multiple large language models (LLMs). Orchex solves problems of manual workflow planning, failure handling, and provider management by auto-generating plans, parallelizing tasks, and self-healing failures. It takes intent descriptions as input and outputs orchestrated workflows, supporting integration with six leading LLM providers.

Canonical page: https://skillsregistry.net/skills/wundam-orchex  
JSON: https://api.skillsregistry.net/v1/skills/wundam-orchex

## Description

Autopilot AI orchestration — describe your intent, orchex auto-generates a plan, parallelizes it into streams with file ownership enforcement, self-heals failures, and routes across 6 LLM providers. Supports Claude, OpenAI, Gemini, DeepSeek, Ollama, and AWS Bedrock.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-10

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/wundam/orchex)

## 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": "wundam-orchex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wundam-orchex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wundam-orchex/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt