| name | dingtalk-bridge |
| description | DingTalk group chat bridge for Claude Code. Send markdown/text messages to DingTalk groups, receive @mentions and auto-execute via Claude CLI, run a 24/7 Stream bot. Triggers: dingtalk, send dingtalk, dingtalk bot, dingtalk message, send group message, 钉钉, 发群消息, 钉钉机器人 |
| allowed-tools | Bash |
DingTalk Bridge Skill
Bridges Claude Code with DingTalk group chat via the DingTalk Stream SDK + OpenAPI.
Capabilities
| Feature | Description |
|---|
| Send Markdown | Send rich markdown messages to a DingTalk group |
| Send Text | Send plain text messages |
| Stream Bot | 24/7 listener: receive @mentions, execute via claude -p, reply with results |
| Auto Conv Discovery | Conversation ID auto-saved on first @mention |
| Keepalive | 20s WebSocket ping prevents DingTalk 30-min timeout |
| Crash Recovery | Exponential backoff (5s to 60s) on disconnect |
Quick Start
1. Install
bash "$CLAUDE_SKILL_DIR/scripts/install.sh"
The script will:
- Install Python dependencies (
dingtalk_stream, websockets)
- Prompt for your DingTalk App Key & Secret (or read from env)
- Generate
config.json
- Create
data/ directory for conversation state
- Optionally create a macOS LaunchAgent for 24/7 operation
2. Configure
Set credentials via environment variables (recommended):
export DINGTALK_APP_KEY="your_app_key"
export DINGTALK_APP_SECRET="your_app_secret"
export DINGTALK_WORKDIR="/path/to/your/project"
Or edit config.json in the skill directory (see config.example.json).
3. Get Conversation ID
The bot needs a conversation ID to send messages. Two ways:
Auto (recommended): Start the Stream bot, then @mention it in a DingTalk group. The conv ID is saved automatically.
Manual: If you already have the openConversationId and robotCode:
mkdir -p "$CLAUDE_SKILL_DIR/data"
echo '{"openConversationId":"YOUR_ID","robotCode":"YOUR_ROBOT_CODE"}' > "$CLAUDE_SKILL_DIR/data/conv.json"
Commands
Send a message
python3 "$CLAUDE_SKILL_DIR/src/send.py" "**Bold** message with markdown"
python3 "$CLAUDE_SKILL_DIR/src/send.py" --title "Alert" "Server is down!"
python3 "$CLAUDE_SKILL_DIR/src/send.py" --text "Plain text message"
Start the Stream Bot
python3 "$CLAUDE_SKILL_DIR/src/stream_bot.py"
The bot will:
- Connect to DingTalk via Stream protocol
- Listen for all @mentions in groups where the bot is added
- Execute the message content via
claude -p "<message>" --continue
- Reply with the result as a markdown message
Use as Python module
import sys
sys.path.insert(0, "/path/to/dingtalk-bridge/src")
from send import send_markdown, send_text
send_markdown("Daily Report", "**Sent:** 50\n**Opened:** 18\n**Clicked:** 7")
send_text("Simple notification")
Configuration Reference
| Config Key | Env Var | Default | Description |
|---|
app_key | DINGTALK_APP_KEY | (required) | DingTalk App Key |
app_secret | DINGTALK_APP_SECRET | (required) | DingTalk App Secret |
conv_file | DINGTALK_CONV_FILE | <skill>/data/conv.json | Conversation metadata path |
workdir | DINGTALK_WORKDIR | cwd | Working directory for claude CLI |
claude_bin | DINGTALK_CLAUDE_BIN | claude | Path to claude binary |
max_reply | DINGTALK_MAX_REPLY | 3000 | Max reply length (chars) |
keepalive | DINGTALK_KEEPALIVE | 20 | WebSocket keepalive interval (seconds) |
DingTalk App Setup (Prerequisites)
- Go to DingTalk Open Platform
- Create an Enterprise Internal App (企业内部应用)
- Enable Robot capability (机器人)
- Set message receive mode to Stream (Stream 模式)
- Copy the App Key and App Secret
- Add the bot to a group chat
Running Tests
python3 "$CLAUDE_SKILL_DIR/tests/test_dingtalk.py"
Architecture
dingtalk-bridge/
├── SKILL.md # This file
├── config.example.json # Example configuration
├── config.json # Your config (gitignored)
├── data/
│ └── conv.json # Auto-saved conversation metadata
├── src/
│ ├── __init__.py
│ ├── config.py # Config loader (env > file > defaults)
│ ├── send.py # Send messages (OpenAPI)
│ └── stream_bot.py # Stream bot (receive + execute + reply)
├── scripts/
│ └── install.sh # One-command setup
└── tests/
└── test_dingtalk.py # Regression tests
