# llm_chat

> llm_chat — supposedlysam-llm-chat. Use this tool when you need to manage multiple AI coding agents on a single machine, streamlining communication and minimizing interruptions. The llm_chat system solves the problem of efficient agent coordination, allowing for seamless exchange of information between agents and humans through CLI, MCP server, or Slack bridge. It takes in user input and agent responses, outputting replies directly into the addressed agent's context, eliminating the need for polling.

Canonical page: https://skillsregistry.net/skills/supposedlysam-llm-chat  
JSON: https://api.skillsregistry.net/v1/skills/supposedlysam-llm-chat

## Description

A local chat system for AI coding agents — any number of them, each in its own repo, on one machine. Replies land in their context automatically: no polling, and only the agents you address are interrupted. CLI, MCP server, and a Slack bridge for the human.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SupposedlySam/llm_chat)

## 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": "supposedlysam-llm-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/supposedlysam-llm-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/supposedlysam-llm-chat/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