# miso

> miso — shunsukehayashi-miso. Use this tool when you need to manage and control OpenClaw multi-agent workflows directly within Telegram, streamlining mission operations and workflows through a native interface that accepts input commands and outputs real-time status updates. It solves problems of complexity and fragmentation in workflow management, providing a centralized hub for monitoring and executing multi-agent tasks. Ideal for use cases requiring seamless communication and coordination between agents and operators.

Canonical page: https://skillsregistry.net/skills/shunsukehayashi-miso  
JSON: https://api.skillsregistry.net/v1/skills/shunsukehayashi-miso

## Description

**MISO** is a Telegram-native mission control for OpenClaw multi-agent workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/shunsukehayashi-miso)

## 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": "shunsukehayashi-miso"
    }
  }
}
```

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