# io.github.khaoss85/orchestro

> Use this tool when you need to orchestrate intelligent tasks and workflows, leveraging 60 MCP tools to streamline AI development and automation. It solves problems related to task management, workflow optimization, and AI model integration, providing a comprehensive interface for inputs and outputs. Ideal for use cases requiring complex task automation, data processing, and model deployment, in contexts such as data science, machine learning, and DevOps.

Canonical page: https://skillsregistry.net/skills/io-github-khaoss85-orchestro  
JSON: https://api.skillsregistry.net/v1/skills/io-github-khaoss85-orchestro

## Description

Your AI Development Conductor - 60 MCP tools for intelligent task orchestration

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.khaoss85%2Forchestro)

## 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": "io-github-khaoss85-orchestro"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-khaoss85-orchestro` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-khaoss85-orchestro/pull`

---
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