Installable skillMIT

飞书消息与文档 Skill

飞书消息发送与文档创建工作流。 触发场景:查找群成员、查找群ID、发送消息失败需要重新尝试。 适用于:发送飞书消息。

BY kbarbel640-delUPDATED Oct 27, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
name: feishu-messaging
description: |
  飞书消息发送与文档创建工作流。
  触发场景:查找群成员、查找群ID、发送消息失败需要重新尝试。
  适用于:发送飞书消息。
---

# 飞书消息与文档 Skill

## 概述

此 Skill 通过飞书开放平台 API 帮助用户发送消息、创建文档和管理飞书资源。

## 核心能力

| 功能 | 状态 | 所需权限 |
|------|------|---------|
| 发送文本消息 | ✅ 可用 | `im:message:send_as_bot` |
| 获取群聊列表 | ✅ 可用 | `im:chat:readonly` |
| 获取群成员 | ✅ 可用 | `im:chat.members:read` |

## 使用方法

### 发送消息给指定用户

```
给 [姓名] 发一条飞书消息,告诉他 [内容]
```

**前置条件**:需要获取用户的 open_id

### 1. 获取群聊id的方法

```python
import json

import lark_oapi as lark
from lark_oapi.api.im.v1 import *


def main():
    # 创建client
    client = lark.Client.builder() \
        .app_id("YOUR_APP_ID") \
        .app_secret("YOUR_APP_SECRET") \
        .log_level(lark.LogLevel.DEBUG) \
        .build()

    # 构造请求对象
    request: SearchChatRequest = SearchChatRequest.builder() \
        .user_id_type("open_id") \
        .query("小鸭子") \
        .page_size(20) \
        .build()

    # 发起请求
    response: SearchChatResponse = client.im.v1.chat.search(request)

    # 处理失败返回
    if not response.success():
        lark.logger.error(
            f"client.im.v1.chat.search failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp:
{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}")
        return

    # 处理业务结果
    lark.logger.info(lark.JSON.marshal(response.data, indent=4))


if __name__ == "__main__":
    main()
```

### 2. 发送消息

``` python
import json

import lark_oapi as lark
from lark_oapi.api.im.v1 import *


def main():
    # 创建client
    client = lark.Client.builder() \
        .app_id("YOUR_APP_ID") \
        .app_secret("YOUR_APP_SECRET") \
        .log_level(lark.LogLevel.DEBUG) \
        .build()

    # 构造请求对象
    request: CreateMessageRequest = CreateMessageRequest.builder() \
        .receive_id_type("open_id") \
        .request_body(CreateMessageRequestBody.builder()
            .receive_id("ou_7d8a6e6df7621556ce0d21922b676706ccs")
            .msg_type("text")
            .content("{\"text\":\"test content\"}")
            .uuid("选填,每次调用前请更换,如a0d69e20-1dd1-458b-k525-dfeca4015204")
            .build()) \
        .build()

    # 发起请求
    response: CreateMessageResponse = client.im.v1.message.create(request)

    # 处理失败返回
    if not response.success():
        lark.logger.error(
            f"client.im.v1.message.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp:
{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}")
        return

    # 处理业务结果
    lark.logger.info(lark.JSON.marshal(response.data, indent=4))


if __name__ == "__main__":
    main()

```

### 3. 图片消息

```python
import json

import lark_oapi as lark
from lark_oapi.api.im.v1 import *


def main():
    # 创建client
    client = lark.Client.builder() \
        .app_id("YOUR_APP_ID") \
        .app_secret("YOUR_APP_SECRET") \
        .log_level(lark.LogLevel.DEBUG) \
        .build()

    # 构造请求对象
    file = open("小鸭子.jpg", "rb")
    request: CreateImageRequest = CreateImageRequest.builder() \
        .request_body(CreateImageRequestBody.builder()
            .image_type("message")
            .image(file)
            .build()) \
        .build()

    # 发起请求
    response: CreateImageResponse = client.im.v1.image.create(request)

    # 处理失败返回
    if not response.success():
        lark.logger.error(
            f"client.im.v1.image.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp:
{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}")
        return

    # 处理业务结果
    lark.logger.info(lark.JSON.marshal(response.data, indent=4))


if __name__ == "__main__":
    main()

```

### 4. 上传文件

```python
import json

import lark_oapi as lark
from lark_oapi.api.im.v1 import *


def main():
    # 创建client
    client = lark.Client.builder() \
        .app_id("YOUR_APP_ID") \
        .app_secret("YOUR_APP_SECRET") \
        .log_level(lark.LogLevel.DEBUG) \
        .build()

    # 构造请求对象
    file = open("飞书20260129-173520.mp4", "rb")
    request: CreateFileRequest = CreateFileRequest.builder() \
        .request_body(CreateFileRequestBody.builder()
            .file_type("mp4")
            .file_name(""1.mp4"")
            .duration("3000")
            .file(file)
            .build()) \
        .build()

    # 发起请求
    response: CreateFileResponse = client.im.v1.file.create(request)

    # 处理失败返回
    if not response.success():
        lark.logger.error(
            f"client.im.v1.file.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp:
{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}")
        return

    # 处理业务结果
    lark.logger.info(lark.JSON.marshal(response.data, indent=4))


if __name__ == "__main__":
    main()

```

### 5. 查询群成员

``` python
import json

import lark_oapi as lark
from lark_oapi.api.im.v1 import *


def main():
    # 创建client
    client = lark.Client.builder() \
        .app_id("YOUR_APP_ID") \
        .app_secret("YOUR_APP_SECRET") \
        .log_level(lark.LogLevel.DEBUG) \
        .build()

    # 构造请求对象
    request: GetChatMembersRequest = GetChatMembersRequest.builder() \
        .chat_id("oc_dcc94d101e8d41e291e90f4623eca17a") \
        .member_id_type("user_id") \
        .build()

    # 发起请求
    response: GetChatMembersResponse = client.im.v1.chat_members.get(request)

    # 处理失败返回
    if not response.success():
        lark.logger.error(
            f"client.im.v1.chat_members.get failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp:
{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}")
        return

    # 处理业务结果
    lark.logger.info(lark.JSON.marshal(response.data, indent=4))


if __name__ == "__main__":
    main()

```

## 文档
- [飞书 API 文档](https://open.feishu.cn/document/server-docs/api-call-guide/server-api-list)
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.