Beeper integration for Clawdbot. Send messages and search chats across WhatsApp, Telegram, Signal, Discord, Slack, Instagram, iMessage, LinkedIn, Facebook Messenger, Google Messages via Beeper Desktop API. Reactions, reminders, attachments, mark as read. Unified multi-platform messaging automation—just ask.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install claw-me-maybe或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install claw-me-maybe⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/claw-me-maybe/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: claw-me-maybe version: 1.2.0 description: Beeper integration for Clawdbot. Send messages and search chats across WhatsApp, Telegram, Signal, Discord, Slack, Instagram, iMessage, LinkedIn, Facebook Messenger, Google Messages via Beeper Desktop API. Reactions, reminders, attachments, mark as read. Unified multi-platform messaging automation—just ask. author: nickhamze keywords: Beeper, messaging, WhatsApp, Telegram, Signal, Discord, Slack, Instagram, iMessage, LinkedIn, Facebook Messenger, Google Messages, Google Chat, chat automation, unified messaging, Desktop API, send messages, search messages, reactions, reminders, multi-platform, cross-platform messaging, chat search, message history, unread messages metadata: {"clawdbot":{"emoji":"📟","skillKey":"claw-me-maybe","requires":{"bins":["curl"]},"homepage":"https://www.beeper.com","defaultEnv":{"BEEPER_API_URL":"http://localhost:23373"}}} user-invocable: true ---
Your lobster just got a Beeper.
Finally, your Clawdbot can reach you (and everyone else) across every chat platform. WhatsApp? Telegram? Signal? Discord? Slack? Instagram DMs? LinkedIn? iMessage? All of them. One skill. One claw.
Powered by Beeper - the app that unifies all your chats.
🔍 Search Everything - "What did Sarah say about the project last week?" Your lobster will dig through all your Beeper chats instantly.
💬 Send Messages Anywhere - "Tell Mom I'll be late" - and it goes to WhatsApp. "Message the team on Slack" - done. No app switching.
📊 Summarize Your Inbox - "What did I miss?" Get a digest of unread messages across all your Beeper networks.
🔔 Set Reminders - "Remind me to reply to this chat tomorrow" - your lobster remembers so you don't have to.
📎 Grab Attachments - Download files, images, and media from any Beeper conversation.
😀 React to Messages - Add emoji reactions to any message across any Beeper network.
✅ Mark as Read - Keep your Beeper inbox tidy by marking conversations as read.
Your Clawdbot can reach you on any platform Beeper supports:
| Platform | Status | |----------|--------| | WhatsApp | ✅ Full Support | | Telegram | ✅ Full Support | | Signal | ✅ Full Support | | Discord | ✅ Full Support | | Slack | ✅ Full Support | | Instagram DMs | ✅ Full Support | | Facebook Messenger | ✅ Full Support | | LinkedIn Messages | ✅ Full Support | | X (Twitter) DMs | ✅ Full Support | | Google Messages | ✅ Full Support | | Google Chat | ✅ Full Support | | iMessage | ✅ macOS only |
One skill. Twelve platforms. Infinite possibilities.
Don't have Beeper yet? Download it free - it's the app that brings all your chats together.
Open Beeper Desktop → Settings → Developers → Toggle "Beeper Desktop API" ON
That's it. Your lobster now has a direct line to all your chats.
For smoother automation, grab an access token:
~/.clawdbot/clawdbot.json:
{
"skills": {
"entries": {
"claw-me-maybe": {
"enabled": true,
"env": {
"BEEPER_ACCESS_TOKEN": "your-token-here"
}
}
}
}
}
Note: BEEPER_API_URL defaults to http://localhost:23373 - no need to set it unless you're running Beeper on a different port.
Once set up, just ask naturally:
> "Show me my unread messages in Beeper"
> "Search my Beeper chats for messages about dinner plans"
> "Send a WhatsApp message to John saying I'm on my way"
> "What's the latest in my Signal group chat?"
> "Message the #general channel on Slack: standup in 5 minutes"
> "Find all messages from Lisa in the last week"
> "React with 👍 to that last message"
> "Mark my Discord chats as read"
Your lobster handles the rest through Beeper.
(For those who like to peek under the shell)
Base URL: http://localhost:23373 (Beeper Desktop must be running)
# Auth header (when using a token)
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}"
See all connected platforms in your Beeper:
curl -s "${BEEPER_API_URL}/v1/accounts" \
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}"
Example Response:
[
{
"id": "whatsapp-abc123",
"service": "whatsapp",
"displayName": "+1 555-123-4567",
"connected": true
},
{
"id": "telegram-xyz789",
"service": "telegram",
"displayName": "@myusername",
"connected": true
},
{
"id": "signal-def456",
"service": "signal",
"displayName": "+1 555-987-6543",
"connected": true
}
]
curl -s "${BEEPER_API_URL}/v1/chats" \
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}"
Example Response:
[
{
"id": "chat-abc123",
"name": "Family Group",
"service": "whatsapp",
"unreadCount": 5,
"lastMessage": {
"text": "See you at dinner!",
"timestamp": "2026-01-23T15:30:00Z"
}
},
{
"id": "chat-xyz789",
"name": "Work Team",
"service": "slack",
"unreadCount": 0,
"lastMessage": {
"text": "Meeting moved to 3pm",
"timestamp": "2026-01-23T14:00:00Z"
}
}
]
curl -s "${BEEPER_API_URL}/v1/chats/search?q=project+meeting" \
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}"
curl -s "${BEEPER_API_URL}/v1/chats/{chatID}" \
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}"
Example Response:
{
"id": "chat-abc123",
"name": "Family Group",
"service": "whatsapp",
"unreadCount": 5,
"participants": [
{"id": "user-1", "name": "Mom", "phone": "+15551234567"},
{"id": "user-2", "name": "Dad", "phone": "+15559876543"},
{"id": "user-3", "name": "You", "phone": "+15555555555"}
],
"archived": false,
"muted": false
}
curl -X POST "${BEEPER_API_URL}/v1/chats" \
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"accountID": "whatsapp-abc123",
"participants": ["+1234567890"]
}'
curl -X POST "${BEEPER_API_URL}/v1/chats/{chatID}/archive" \
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{"archived": true}'
curl -s "${BEEPER_API_URL}/v1/chats/{chatID}/messages" \
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}"
Example Response:
[
{
"id": "msg-001",
"chatID": "chat-abc123",
"sender": {"id": "user-1", "name": "Mom"},
"text": "Don't forget to call grandma!",
"timestamp": "2026-01-23T15:30:00Z",
"reactions": [
{"emoji": "👍", "user": {"id": "user-2", "name": "Dad"}}
]
},
{
"id": "msg-002",
"chatID": "chat-abc123",
"sender": {"id": "user-2", "name": "Dad"},
"text": "See you at dinner!",
"timestamp": "2026-01-23T15:25:00Z",
"reactions": []
}
]
curl -s "${BEEPER_API_URL}/v1/messages/search?q=dinner+plans" \
-H "Authorization: Bearer ${BEEPER_ACCESS_TOKEN}"
Example Response:
{
"results": [
{
"id": "msg-xyz",
...安装 Claw Me Maybe - Beeper Desktop API & Multi-Platform Messaging 后,可以对 AI 说这些话来触发它
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
将技能文件夹放到 ~/.claude/skills/claw-me-maybe/ 目录(个人级,所有项目可用),或 .claude/skills/claw-me-maybe/(项目级)。重启 AI 客户端后,用 /claw-me-maybe 主动调用,或让 AI 根据上下文自动发现并使用。
Claw Me Maybe - Beeper Desktop API & Multi-Platform Messaging 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Claw Me Maybe - Beeper Desktop API & Multi-Platform Messaging 可免费安装使用。请查阅仓库了解许可证信息。
Beeper integration for Clawdbot. Send messages and search chats across WhatsApp, Telegram, Signal, Discord, Slack, Instagram, iMessage, LinkedIn, Facebook Messenger, Google Messages via Beeper Desktop API. Reactions, reminders, attachments, mark as read. Unified multi-platform messaging automation—just ask.
Claw Me Maybe - Beeper Desktop API & Multi-Platform Messaging 属于「Communication」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。