# ChatBL

> ChatBL — fengerss-chatbl. Use this tool when you need to analyze data through conversational interfaces, converting Chinese natural language inputs into SQL, charts, or machine learning outputs. It solves problems of complex data analysis by providing an intuitive and interactive way to query and visualize data. Ideal for users who want to leverage AI-powered data analysis without requiring extensive technical expertise.

Canonical page: https://skillsregistry.net/skills/fengerss-chatbl  
JSON: https://api.skillsregistry.net/v1/skills/fengerss-chatbl

## Description

ChatBL — AI 对话式数据分析助手。中文自然语言 → SQL/图表/机器学习，基于 LangGraph supervisor pipeline + MCP 工具协议，pywebview 桌面窗口，本地运行。

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Fengerss/ChatBL)

## 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": "fengerss-chatbl"
    }
  }
}
```

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