| name | feishu-bitable-creator |
| description | Create and populate Feishu (Lark) Bitable (multidimensional tables) with automated cleanup.
Use when the user needs to:
1. Create a new Bitable from scratch with clean structure (no placeholder rows/columns)
2. Batch create fields and records in a Bitable
3. Convert structured data into a Bitable format
4. Create data tables for research, comparison, or tracking purposes
Automatically handles: empty placeholder row cleanup, default column removal,
intelligent primary field naming, and batch record creation.
|
| metadata | {"openclaw":{"requires":{"config":["channels.feishu.appId","channels.feishu.appSecret"]},"emoji":"📊"}} |
Feishu Bitable Creator
Creates clean, ready-to-use Feishu Bitable tables with automatic cleanup and data population.
Authentication & Permissions
This skill requires a pre-configured Feishu (Lark) integration via OpenClaw's channel system. It does not accept API keys directly from the user.
How Authentication Works
-
Feishu Channel Configuration: Your OpenClaw instance must have the Feishu channel enabled and configured with a valid app ID and app secret in ~/.openclaw/openclaw.json:
{
"channels": {
"feishu": {
"enabled": true,
"appId": "cli_xxxxxxxxxxxxxxxx",
"appSecret": "your-app-secret"
}
}
}
-
Token Management: OpenClaw's Feishu extension automatically handles token acquisition and refresh using the configured app credentials. No manual token management is required.
-
User Consent: When creating a table, the tool uses the agent's own identity (the Feishu app/bot). The addBitableAdmin() function requires the owner's explicit user_id obtained from the conversation context, ensuring consent.
Required Feishu App Permissions
Your Feishu app must have these permissions granted:
| Permission | Purpose |
|---|
bitable:app | Create and manage Bitable apps |
drive:permission:manage | Add users as admins to documents |
drive:drive:read | Read drive contents |
Security Notes
- ⚠️ No User-Supplied Credentials: This skill does NOT accept API keys, tokens, or secrets from user prompts. All authentication is handled through OpenClaw's secure channel configuration.
- ⚠️ Scope Limitation: The skill only performs actions on Bitable tables it creates. It cannot access existing tables without explicit sharing.
- ⚠️ Admin Addition Requires Explicit User ID: Adding an admin requires the specific
user_id from conversation context — the agent cannot arbitrarily add unknown users.
Setup Instructions
Before using this skill, ensure your OpenClaw host admin has:
- Created a Feishu app at https://open.feishu.cn/app
- Enabled the required permissions in the Feishu app console
- Configured the app ID and secret in
~/.openclaw/openclaw.json
- Restarted the OpenClaw gateway to apply changes
For detailed setup, see: https://docs.openclaw.ai/channels/feishu
Problem with default Bitable creation:
- Feishu creates 10 empty placeholder rows by default
- Creates 4 default columns (文本, 单选, 日期, 附件) that are often unused
- Primary field is always named "文本" which is not descriptive
- Creator has full control, but human owner has no permissions
This skill solves these issues:
- ✅ Automatically deletes empty placeholder rows and default columns
- ✅ Intelligently renames primary field based on table name
- ✅ Adds owner as admin with full permissions
- ✅ Provides clean slate for your actual data
Quick Start
const table = await feishu_bitable_create_app({ name: "项目名称清单" });
await addBitableAdmin({
app_token: table.app_token,
user_id: "ou_xxxxxxxxxxxxxxxx"
});
await feishu_bitable_create_record({
app_token: table.app_token,
table_id: table.table_id,
fields: {
[table.primary_field_name]: "项目A",
"标签": ["AI", "开源"],
"分类": "技术",
"状态": "进行中",
"优先级": "高"
}
});
return table.url;
Designing Rich Fields (发挥多维表格价值)
💡 核心建议: 为了让多维表格真正发挥作用，建议设计丰富的标签/分类字段，但根据实际场景灵活选择。
推荐的字段设计思路
根据数据类型，考虑添加以下维度字段：
| 数据场景 | 建议字段 | 用途 |
|---|
| 项目管理 | 状态、优先级、负责人、截止日期 | 追踪进展，分配任务 |
| 研究/调研 | 分类、标签、来源、评分 | 归类信息，评估价值 |
| 产品/功能 | 模块、优先级、状态、负责人 | 产品规划，迭代管理 |
| 客户/用户 | 类型、阶段、标签、负责人 | 客户分层，跟进管理 |
| 竞品分析 | 分类、评分、标签、来源 | 对比分析，筛选查看 |
字段类型选择指南
| 字段名 | 类型 | 适用场景 |
|---|
| 标签 | MultiSelect | 一个项目可属于多个类别，用于交叉筛选 |
| 分类 | SingleSelect | 一级分类，用于分组统计 |
| 状态 | SingleSelect | 有明确流转阶段，如待办→进行中→完成 |
| 优先级 | SingleSelect | 需要排序或区分重要性 |
| 负责人 | User | 需要分配到人 |
| 日期 | DateTime | 有时间节点要求 |
| 评分 | Number | 需要量化评估 |
| 来源 | SingleSelect | 需要追踪信息出处 |
实际设计示例
示例1：开源大模型研究
const fields = [
{ name: "模型名称", type: 1 },
{ name: "开发团队", type: 1 },
{ name: "参数量", type: 1 },
{ name: "技术标签", type: 4 },
{ name: "地区", type: 3 },
{ name: "模型类型", type: 3 },
{ name: "适用场景", type: 4 },
{ name: "开源协议", type: 3 },
{ name: "发布日期", type: 5 },
{ name: "特点描述", type: 1 }
];
示例2：工作任务清单
const fields = [
{ name: "任务名称", type: 1 },
{ name: "描述", type: 1 },
{ name: "分类", type: 3 },
{ name: "状态", type: 3 },
{ name: "优先级", type: 3 },
{ name: "负责人", type: 11 },
{ name: "截止日期", type: 5 },
{ name: "标签", type: 4 }
];
设计原则
- 先想怎么用：先思考用户会如何筛选/分组/排序数据
- 适度原则：字段不是越多越好，选择真正能区分数据的维度
- 数据可得：确保收集数据时能填上这些字段，不要设计无法获取的维度
- 灵活调整：如果某个字段使用率很低，后续可以删除或修改
检验标准
设计完字段后，问自己：
- ❓ 用户能按哪些维度筛选数据？
- ❓ 能按哪些维度分组查看？
- ❓ 能按哪些维度排序？
- ❓ 数据收集时这些字段是否容易获取？
如果以上问题都有明确答案，说明字段设计合理！
实际示例：开源大模型表格
const table = await feishu_bitable_create_app({ name: "全球开源大模型TOP10" });
await addBitableAdmin({ app_token: table.app_token, user_id: bossUserId });
const fields = [
{ name: "排名", type: 2 },
{ name: "模型名称", type: 1 },
{ name: "开发团队", type: 1 },
{ name: "参数量", type: 1 },
{ name: "标签", type: 4, property: { options: [
{ name: "MoE" }, { name: "多语言" }, { name: "代码" },
{ name: "轻量级" }, { name: "推理优化" }, { name: "国产" }
]}},
{ name: "地区", type: 3, property: { options: [
{ name: "美国" }, { name: "中国" }, { name: "欧洲" },
{ name: "中东" }, { name: "其他" }
]}},
{ name: "类型", type: 3, property: { options: [
{ name: "通用模型" }, { name: "代码模型" }, { name: "推理模型" }
]}},
{ name: "开源协议", type: 3, property: { options: [
{ name: "Apache-2.0" }, { name: "MIT" }, { name: "Llama License" },
{ name: "Qwen License" }
]}},
{ name: "GitHub星标", type: 2 },
{ name: "发布日期", type: 5 },
{ name: "特点", type: 1 },
{ name: "适用场景", type: 4, property: { options: [
{ name: "企业部署" }, { name: "端侧运行" }, { name: "科学研究" },
{ name: "商业应用" }, { name: "教育学习" }
]}}
];
for (const field of fields) {
await feishu_bitable_create_field({
app_token: table.app_token,
table_id: table.table_id,
field_name: field.name,
field_type: field.type,
property: field.property
});
}
await feishu_bitable_create_record({
app_token: table.app_token,
table_id: table.table_id,
fields: {
[table.primary_field_name]: "Llama 3",
"模型名称": "Llama 3",
"排名": 1,
"开发团队": "Meta",
"参数量": "8B/70B/400B",
"标签": ["多语言"],
"地区": "美国",
"类型": "通用模型",
"开源协议": "Llama License",
"GitHub星标": 50000,
"发布日期": 1713398400000,
"特点": "开源模型领导者，性能对标GPT-4",
"适用场景": ["企业部署", "商业应用", "科学研究"]
}
});
Add Owner as Admin
IMPORTANT: Tool creates table but does NOT add permissions. You must add the owner as admin manually.
async function addBitableAdmin({ app_token, user_id }) {
const token = await getTenantAccessToken();
const response = await fetch(
`https://open.feishu.cn/open-apis/drive/v1/permissions/${app_token}/members/batch_create?type=bitable`,
{
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({
members: [{
member_type: 'openid',
member_id: user_id,
perm: 'full_access'
}]
})
}
);
const result = await response.json();
if (result.code === 0) {
console.log('✅ Successfully added owner as admin');
return result.data;
} else {
throw new Error(result.msg);
}
}
Required Permissions
bitable:app - Manage Bitable appsdrive:permission:manage - Manage document permissions
Primary Field Naming
| Table name contains | Primary field becomes |
|---|
| "项目" | "项目名称" |
| "研究" | "研究名称" |
| "测试" | "测试项" |
| "数据" | "数据项" |
| "任务" | "任务名称" |
| "记录" | "记录项" |
| Other (≤6 chars) | Use table name as-is |
| Other (>6 chars) | First 4 chars + "..." |
Common Field Types
| Type ID | Name | Use For |
|---|
| 1 | Text | Names, descriptions |
| 2 | Number | Counts, amounts |
| 3 | SingleSelect | Status, priority |
| 4 | MultiSelect | Tags, features |
| 5 | DateTime | Dates, deadlines |
| 7 | Checkbox | Done/Incomplete |
| 11 | User | Assignees |
Complete Example: Research Data Table with Rich Tags
async function createBitableForBoss({ tableName, records, bossUserId }) {
const table = await feishu_bitable_create_app({ name: tableName });
await addBitableAdmin({
app_token: table.app_token,
user_id: bossUserId
});
const fields = [
{ name: "排名", type: 2 },
{ name: "名称", type: 1 },
{ name: "标签", type: 4 },
{ name: "分类", type: 3 },
{ name: "状态", type: 3 },
{ name: "优先级", type: 3 },
{ name: "负责人", type: 11 },
{ name: "来源", type: 3 },
{ name: "评分", type: 2 },
{ name: "日期", type: 5 },
{ name: "描述", type: 1 }
];
for (const field of fields) {
await feishu_bitable_create_field({
app_token: table.app_token,
table_id: table.table_id,
field_name: field.name,
field_type: field.type
});
}
for (const record of records) {
await feishu_bitable_create_record({
app_token: table.app_token,
table_id: table.table_id,
fields: {
[table.primary_field_name]: record.name,
"名称": record.name,
"标签": record.tags,
"分类": record.category,
"状态": record.status || "待处理",
"优先级": record.priority || "中",
"来源": record.source || "搜索",
"描述": record.description
}
});
}
return {
url: table.url,
message: `✅ Table created with rich tags: ${table.url}`
};
}
const result = await createBitableForBoss({
tableName: "AI开源项目研究",
records: [
{
name: "AutoGPT",
tags: ["AI代理", "自动化", "热门"],
category: "智能体",
priority: "高",
source: "GitHub",
description: "自主递归任务执行AI代理"
}
],
bossUserId: "ou_xxxxxxxxxxxxxxxx"
});
{ name: "GitHub星标", type: 2 },
{ name: "使用场景", type: 4 }
],
records: [{
"AI框架对比": "AutoGPT",
"框架名称": "AutoGPT",
"GitHub星标": 157000,
"使用场景": ["自动化", "研究"]
}],
bossUserId: "ou_xxxxxxxxxxxxxxxx" // Replace with actual user's open_id
});
## Tips
1. **设计丰富的标签字段**: 为了让多维表格发挥作用，建议根据数据特点添加标签、分类、状态等维度字段（参考 "Designing Rich Fields" 章节）
2. **根据场景选择字段**: 不同数据类型需要不同的维度字段，如项目管理需要"状态"，研究调研需要"来源"，灵活设计
3. **先想怎么用**: 设计字段前先思考用户会如何筛选/分组/排序数据
4. **Multi-select values**: Pass as array: `["标签A", "标签B"]`
5. **User ID**: Get from conversation context (e.g., `ou_xxxxxxxxxxxxxxxx`)
6. **Cleanup verified**: Tool returns `cleaned_placeholder_rows` and `cleaned_default_fields`
7. **Field order**: Create fields first, then add records
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| FieldNameNotFound | Wrong primary field name | Check `primary_field_name` in result |
| 400 Bad Request | Invalid field type/value | Verify field_type ID |
| Permission Denied | Missing `drive:permission:manage` | Check app permissions |
| User Not Found | Wrong user_id format | Use `openid` type |
## Output Format
✅ Table "项目名称" created successfully!
🔗 URL: https://my.feishu.cn/base/xxxxxxxxxxxxx
🧹 Cleanup: 10 placeholder rows, 4 default columns deleted
👤 Owner: Added as admin (full_access)
📊 Records: X records added
📝 Fields: 名称, 标签, 分类, 状态, 优先级, 负责人, 日期, 描述
💡 Tip: 建议添加标签/分类/状态等维度字段，让表格支持多维筛选和分组
**设计检查建议**:
- 是否可以根据标签交叉筛选数据？
- 是否可以按分类分组查看？
- 是否可以按状态/优先级排序？
- 数据收集时这些字段是否容易获取？
如果以上问题都有答案，说明字段设计合理！
- ✅ 优先级 (SingleSelect) - for sorting
