# agent-linguo

> Use this tool when you need to facilitate seamless communication between AI agents, enabling efficient data exchange and coordination. The agent-linguo protocol solves problems of incompatible language formats and data misinterpretation, supporting various use cases such as multi-agent systems and cooperative learning. It accepts standardized input formats and outputs unified, interpretable data, ideal for applications requiring agent interoperability and knowledge sharing.

Canonical page: https://skillsregistry.net/skills/xiwan-agent-linguo  
JSON: https://api.skillsregistry.net/v1/skills/xiwan-agent-linguo

## Description

Efficient Agent Communication Protocol Language.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-08-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/xiwan-agent-linguo)

## 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": "xiwan-agent-linguo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiwan-agent-linguo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiwan-agent-linguo/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