# ai-flow

> ai-flow — zhangtt08-ai-flow. Use this tool when you need to automate and manage multiple AI models, such as ChatGPT, Claude, and Gemini, for tasks like cross-model questioning and report generation. It solves problems of manual API key management and tedious task scheduling, providing a one-click solution for local AI collaboration and timed tasks. With ai-flow, you can input your AI model preferences and output customized reports and insights through its desktop interface and MCP API.

Canonical page: https://skillsregistry.net/skills/zhangtt08-ai-flow  
JSON: https://api.skillsregistry.net/v1/skills/zhangtt08-ai-flow

## Description

🤖 0 成本免 API Key！本地多 AI 网页协同与定时工作台：一键调度本机已登录的 ChatGPT / Claude / Gemini / DeepSeek 网页端，全自动跨模型提问、热点聚合与日报生成，附开箱即用桌面端与 MCP 接口！

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-11-06

## Source

- **Source listing:** [GitHub](https://github.com/zhangtt08/ai-flow)

## 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": "zhangtt08-ai-flow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhangtt08-ai-flow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhangtt08-ai-flow/pull`

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