dingtalk-bridge

Apps & Automation

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

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Source SKILL.md: https://github.com/aiskillstore/marketplace/blob/HEAD/skills/mguozhen/dingtalk-bridge/SKILL.md

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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"  # optional

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

# Markdown (default)
python3 "$CLAUDE_SKILL_DIR/src/send.py" "**Bold** message with markdown"

# With custom title
python3 "$CLAUDE_SKILL_DIR/src/send.py" --title "Alert" "Server is down!"

# Plain text
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