Marketplace dingtalk-bridge

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

install
source · Clone the upstream repo
git clone https://github.com/aiskillstore/marketplace
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/aiskillstore/marketplace "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/mguozhen/dingtalk-bridge" ~/.claude/skills/aiskillstore-marketplace-dingtalk-bridge && rm -rf "$T"
manifest: skills/mguozhen/dingtalk-bridge/SKILL.md
source content

DingTalk Bridge Skill

Bridges Claude Code with DingTalk group chat via the DingTalk Stream SDK + OpenAPI.

Capabilities

FeatureDescription
Send MarkdownSend rich markdown messages to a DingTalk group
Send TextSend plain text messages
Stream Bot24/7 listener: receive @mentions, execute via
claude -p
, reply with results
Auto Conv DiscoveryConversation ID auto-saved on first @mention
Keepalive20s WebSocket ping prevents DingTalk 30-min timeout
Crash RecoveryExponential 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:

  1. Connect to DingTalk via Stream protocol
  2. Listen for all @mentions in groups where the bot is added
  3. Execute the message content via
    claude -p "<message>" --continue
  4. 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 KeyEnv VarDefaultDescription
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
cwdWorking 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)

  1. Go to DingTalk Open Platform
  2. Create an Enterprise Internal App (企业内部应用)
  3. Enable Robot capability (机器人)
  4. Set message receive mode to Stream (Stream 模式)
  5. Copy the App Key and App Secret
  6. 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