# hybrid-orchestrator

> hybrid-orchestrator — anonymousforareason111-hybrid-orchestrator. Use this tool when you need to coordinate human-AI interactions and manage complex workflows. The hybrid-orchestrator enables seamless handoffs between humans and AI agents, solving problems of inefficient collaboration and workflow management. It takes in agent configurations and session inputs, outputting orchestrated workflows and session outputs, ideal for use cases requiring hybrid human-AI teamwork.

Canonical page: https://skillsregistry.net/skills/anonymousforareason111-hybrid-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/anonymousforareason111-hybrid-orchestrator

## Description

🤖 Implement hybrid human-AI orchestration patterns in Python to coordinate agents, manage sessions, and enable smooth AI-human handoffs.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Anonymousforareason111/hybrid-orchestrator)

## 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": "anonymousforareason111-hybrid-orchestrator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anonymousforareason111-hybrid-orchestrator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anonymousforareason111-hybrid-orchestrator/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