# Goodqunbot

> AI-powered WeChat message assistant. Retrieve recent messages from contacts/groups and send messages directly through AI chat. Windows 10/11 only. Requires WeChat PC client logged in. Use when this capability is needed.

- Skill: `tomevault-io/goodqunbot` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/goodqunbot`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/goodqunbot/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/goodqunbot

---


# 微信消息助手 (WeChat Message Assistant)

This skill enables AI to interact with WeChat directly through AI chat, providing two core capabilities: retrieving recent messages and sending messages to contacts or groups.

## Platform Requirements

- **OS**: Windows 10/11 only
- **WeChat**: WeChat PC client must be installed, running, and logged in
- **Python**: Python 3.11+ (automatically handled by Goodable)

## Core Capabilities

### 1. Retrieve Recent Messages

Fetch the last 10-15 messages from any WeChat contact or group chat.

**What you can ask:**
```
Get the last 15 messages from "张三"
Show me recent messages from "Product Team" group
Retrieve messages from "李四", last 10 only
```

**What AI will do:**
- Opens the specified chat in WeChat
- Retrieves the requested number of messages (default: 15, max: 100)
- Returns messages with timestamp, sender, and content
- Formats as structured JSON for easy parsing

### 2. Send Messages

Send a text message to any WeChat contact or group chat.

**What you can ask:**
```
Send "Meeting at 3pm" to "张三"
Message "Product Team" group: "Release notes updated"
Tell "李四": "Please review the document"
```

**What AI will do:**
- Opens the specified chat in WeChat
- Sends the message content
- Confirms successful delivery

## How to Use

### Prerequisites

Before using this skill, ensure:

1. WeChat PC client is running
2. You are logged into your WeChat account
3. The contact/group name you specify exists in your WeChat

### Example Usage

**Scenario 1: Check messages from a colleague**
```
User: "帮我看一下张三最近给我发了什么消息"
AI: [Runs get_messages.py script]
AI: "张三最近的5条消息：
1. [2024-01-28 10:30] 张三: 会议资料已发送
2. [2024-01-28 11:00] 张三: 请查收
..."
```

**Scenario 2: Send a message**
```
User: "给产品群发个消息：今天下午3点开会"
AI: [Runs send_message.py script]
AI: "消息已成功发送到产品群"
```

## Instructions for AI

When the user requests WeChat message operations:

### 1. Retrieve Messages

Run the get_messages.py script:

```bash
python scripts/get_messages.py "<Contact/Group Name>" [count]
```

**Parameters:**
- `Contact/Group Name`: Exact name as shown in WeChat (required)
- `count`: Number of recent messages to retrieve (optional, default: 15, max: 100)

**Output Format:**
The script returns JSON with message details:
```json
[
  {
    "time": "2024-01-28 10:30:45",
    "sender": "张三",
    "content": "会议资料已发送",
    "type": "text"
  }
]
```

**IMPORTANT - Output Formatting for User:**
After successfully retrieving messages, you MUST format them in a clean, readable way. DO NOT show raw JSON to the user.

**For 5 or fewer messages** - Use a numbered list:
```
📨 **张三** 的最近消息：

1. [2024-01-28 10:30] 张三: 会议资料已发送
2. [2024-01-28 11:00] 张三: 请查收
3. [2024-01-28 14:30] 你: 好的，已收到
```


**Tips:**
- Always include contact/group name in the header
- Keep timestamps concise (remove date if same day)
- Group consecutive messages from same sender when appropriate
- Highlight important information if user asks for summary

**Error Handling:**
- If WeChat is not running: "WeChat PC client is not running or not logged in"
- If contact not found: "Contact or group 'xxx' not found"
- Parse the error and provide user-friendly explanation in Chinese

### 2. Send Messages

Run the send_message.py script:

```bash
python scripts/send_message.py "<Contact/Group Name>" "<Message Content>"
```

**Parameters:**
- `Contact/Group Name`: Exact name as shown in WeChat (required)
- `Message Content`: Text message to send (required, cannot be empty)

**Output:**
- Success: "Message sent successfully to 'xxx'"
- Failure: Error message with details

**Important Notes:**
- Always enclose contact names and message content in quotes
- Contact names must match exactly as shown in WeChat
- For group chats, use the full group name
- Only text messages are supported (no images/files/emojis)

### 3. Best Practices

**Name Matching:**
- Ask user to confirm the exact contact/group name if unsure
- Suggest checking WeChat contact list for correct spelling
- Chinese names are case-sensitive and must match exactly

**Error Recovery:**
- If "WeChat not found" error: Ask user to start WeChat and log in
- If "Contact not found" error: Ask user to verify the name
- If script fails: Check if Python environment is properly set up

**User Experience:**
- Summarize retrieved messages in a readable format
- Confirm before sending messages if content seems important
- Provide context about what happened after each operation

## Technical Details

### Script Locations

```
skills/goodqunbot/
├── SKILL.md                    # This file
├── scripts/
│   ├── get_messages.py         # Retrieve messages
│   └── send_message.py         # Send messages
└── wxauto_lib/                 # WeChat automation library (pyc bytecode)
```

### Implementation

Both scripts use the wxauto library (RPA-based WeChat automation):

**get_messages.py:**
- Initializes WeChat instance
- Opens specified chat with `wx.ChatWith(who)`
- Retrieves all messages with `wx.GetAllMessage(savepic=False, savefile=False)`
- Returns recent N messages as JSON

**send_message.py:**
- Initializes WeChat instance
- Sends message with `wx.SendMsg(msg=message, who=who, clear=True)`
- Returns success/failure status

### Limitations

1. **Platform**: Windows only (wxauto uses Windows API)
2. **Message Types**: Text only (no images, files, or rich media)
3. **Rate Limits**: May be subject to WeChat's anti-spam mechanisms
4. **Accuracy**: Contact name must match exactly (case-sensitive)
5. **State Dependency**: Requires WeChat PC client to be running and logged in

## Troubleshooting

| Issue | Solution |
|-------|----------|
| "WeChat window not found" | Start WeChat PC client and log in |
| "Contact not found" | Verify exact contact/group name in WeChat |
| Script timeout | Check if WeChat is responding, restart if frozen |
| Import error | Ensure wxauto_lib directory exists in goodqunbot |
| Permission error | Run with appropriate user permissions on Windows |

## Privacy & Security

- **Local Only**: All operations are local, no data sent to external servers
- **Read-Only Access**: get_messages.py only reads, doesn't modify chat history
- **User Control**: send_message.py only sends when explicitly requested
- **No Logging**: Messages are not stored or logged by the scripts
- **Compliance**: Use responsibly and comply with WeChat Terms of Service

## Related Features

This skill complements the GoodQunBot App (template.json), which provides:
- Web UI for browsing all groups
- AI-powered chat summaries
- Data visualization (activity charts, word clouds)
- Member management and business opportunity discovery

**Skill vs App:**
- **Skill Mode**: Quick AI-driven message operations in chat
- **App Mode**: Full-featured web interface for comprehensive chat management
- Both modes share the same wxauto library and work independently

---
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<!-- tomevault:4.0:skill_md:2026-04-11 -->