Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
钉钉/飞书集成 - 企业通讯、机器人、自动化工作流(Slack 中国版)
钉钉/飞书集成 - 企业通讯、机器人、自动化工作流(Slack 中国版)
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
企业通讯、机器人、自动化工作流。
💬 消息发送/接收 🤖 机器人集成 📅 日程管理 📋 审批流程 🔄 自动化工作流
功能钉钉飞书/LarkWebhook✅✅API✅✅机器人✅✅文档✅✅✅国际化❌✅
# 发送消息 curl -X POST "https://oapi.dingtalk.com/robot/send?access_token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "msgtype": "text", "text": {"content": "这是一条测试消息"} }'
# 使用 dingtalk-sdk pip install dingtalk-sdk from dingtalk import SecretClient client = SecretClient(APP_KEY, APP_SECRET)
# 发送消息 curl -X POST "https://open.feishu.cn/open-apis/bot/v2/hook/YOUR_HOOK" \ -H "Content-Type: application/json" \ -d '{ "msg_type": "text", "content": {"text": "这是一条测试消息"} }'
# 使用 lark-oapi pip install lark-oapi import lark_oapi as lark client = lark.Client.builder() \ .app_id(APP_ID) \ .app_secret(APP_SECRET) \ .build()
服务器告警 业务异常 定时报告
CI/CD 通知 任务完成提醒 审批流程
问答机器人 查询工具 工作助手
# 钉钉机器人 ./scripts/dingtalk-notify.sh "告警: CPU 使用率 90%" # 飞书机器人 ./scripts/feishu-notify.sh "任务完成: 数据同步成功"
安全: Webhook 地址不要泄露 频率: 避免消息轰炸 格式: 使用 Markdown/card 提升体验 版本: 1.0.0
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.