# chat

> Use this tool when you need to engage in text-based conversations, generate human-like responses, or retrieve information from a knowledge base, and provide inputs such as text prompts or questions to receive relevant outputs. It solves problems like answering frequently asked questions, providing customer support, or facilitating discussions on various topics. Ideal for use cases where user interaction, information retrieval, or language understanding is required, with capabilities to integrate with git for version control and knowledge management.

Canonical page: https://skillsregistry.net/skills/dbtkd1801-chat  
JSON: https://api.skillsregistry.net/v1/skills/dbtkd1801-chat

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/dbtkd1801/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": "dbtkd1801-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dbtkd1801-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dbtkd1801-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