通过 Bitable API 操作数据、字段、视图和权限。
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfeishu-bitableExecute the skills CLI command in your project's root directory to begin installation:
Fetches feishu-bitable from alextangson/feishu_skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate feishu-bitable. Access via /feishu-bitable in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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通过 Bitable API 操作数据、字段、视图和权限。
Base URL: https://open.feishu.cn/open-apis/bitable/v1
从 feishu_skills 根目录执行共享脚本:
TOKEN="$(./scripts/get_feishu_token.sh)"
请求头统一使用 Authorization: Bearer ${TOKEN}。
如果业务接口返回 token 无效、过期或 401,强制刷新后仅重试一次原请求:
TOKEN="$(./scripts/get_feishu_token.sh --force-refresh)"
环境变量:
FEISHU_APP_IDFEISHU_APP_SECRET本地缓存: ./.feishu_token_cache.json(未过期直接复用,默认提前 5 分钟刷新)
关键参数:
app_token: 多维表格 URL 中 /base/ 后的字符串table_id: 调用列表 API 获取| API | 端点 | 说明 |
|---|---|---|
| 新增单条 | POST /apps/{app_token}/tables/{table_id}/records |
- |
| 批量新增 | POST .../records/batch_create |
最多 500 条,支持 Upsert |
| 更新 | PUT .../records/{record_id} |
- |
| 批量更新 | POST .../records/batch_update |
最多 500 条 |
| 批量删除 | POST .../records/batch_delete |
最多 500 条 |
| 查询 | POST .../records/search |
支持 filter/sort/分页 |
分页查询全部记录(单次最多 500 条,循环直到 has_more: false):
page_token = None
all_records = []
while True:
body = {"page_size": 500}
if page_token:
body["page_token"] = page_token
resp = post(".../records/search", json=body)
all_records.extend(resp["data"]["items"])
if not resp["data"].get("has_more"):
break
page_token = resp["data"]["page_token"]
请求示例:
{
"fields": {
"名称": "测试",
"金额": 100,
"进度": 0.75,
"评分": 4,
"日期": 1770508800000,
"状态": "进行中",
"标签": ["重要", "紧急"],
"完成": true,
"负责人": [{"id": "ou_xxx"}],
"电话": "13800138000",
"链接": {"text": "官网", "link": "https://example.com"}
}
}
⚠️ 数值不要传字符串,日期必须是 13 位毫秒时间戳。
| type | ui_type | 中文名 | 写入格式 | 示例 |
|---|---|---|---|---|
| 1 | Text | 多行文本 | 字符串 | "办公用品" |
| 1 | 邮箱 | 字符串 | "[email protected]" |
|
| 2 | Number | 数字 | 数值 | 100 |
| 2 | Currency | 货币 | 数值 | 1280.50 |
| 2 | Progress | 进度 | 数值(0~1) | 0.25 (25%) |
| 2 | Rating | 评分 | 数值(1~5) | 3 |
| 3 | SingleSelect | 单选 | 字符串 | "支出" (自动创建选项) |
| 4 | MultiSelect | 多选 | 字符串数组 | ["餐饮","交通"] |
| 5 | DateTime | 日期 | 毫秒时间戳 | 1770508800000 |
| 7 | Checkbox | 复选框 | 布尔值 | true |
| 11 | User | 人员 | 对象数组 | [{"id":"ou_xxx"}] |
| 13 | Phone | 电话 | 字符串 | "13800138000" |
| 15 | Url | 超链接 | 对象 | {"text":"名称","link":"https://..."} |
| 17 | Attachment | 附件 | 对象数组 | [{"file_token":"xxx"}] |
| 18 | SingleLink | 单向关联 | 字符串数组 | ["recuxxx"] |
| 21 | DuplexLink | 双向关联 | 字符串数组 | ["recuxxx"] |
| 22 | Location | 地理位置 | 字符串 | "116.397,39.903" |
不支持 API 写入: 公式、查找引用、创建时间、修改人、自动编号
日期格式转换:
import datetime
ts = int(datetime.datetime(2026, 2, 9).timestamp() * 1000)
# → 1770508800000
| API | 端点 | 说明 |
|---|---|---|
| 获取字段列表 | GET .../fields |
返回 type 和 ui_name |
| 新增字段 | POST .../fields |
{"field_name":"新字段","type":1} |
| 更新字段 | PUT .../fields/{field_id} |
修改单选需提供完整 property |
| 删除字段 | DELETE .../fields/{field_id} |
- |
公式字段示例:
{
"type": 20,
"field_name": "利润",
"property": {"formula_expression": "[营收]-[成本]"}
}
关联字段示例:
{
"type": 18,
"field_name": "关联客户",
"property": {"table_id": "tblXXX", "multiple": true}
}
| API | 端点 | 说明 |
|---|---|---|
| 创建多维表格 | POST /apps |
{"name":"数据库名称"} |
| 列出数据表 | GET /apps/{app_token}/tables |
- |
| 新增数据表 | POST /apps/{app_token}/tables |
{"table":{"name":"表名"}} |
| 批量新增表 | POST .../tables/batch_create |
最多 10 张表 |
| 删除数据表 | DELETE .../tables/{table_id} |
- |
| 复制数据表 | POST .../tables/{table_id}/copy |
- |
⚠️ 权限管理(重要):
POST /permissions/{app_token}/members
{
"member_type": "user",
"member_id": "ou_xxx",
"perm": "full_access"
}
view / edit / full_access| API | 端点 | 说明 |
|---|---|---|
| 列出视图 | GET .../tables/{table_id}/views |
- |
| 创建视图 | POST .../tables/{table_id}/views |
{"view_name":"新视图","view_type":"grid"} |
| 删除视图 | DELETE .../views/{view_id} |
- |
视图类型: grid(表格) / kanban(看板) / gallery(画册) / gantt(甘特图)
| API | 端点 | 说明 |
|---|---|---|
| 创建协作者 | POST /apps/{app_token}/roles/{role_id}/members/batch_create |
- |
| 删除协作者 | POST .../members/batch_delete |
- |
| 更新权限 | PUT /apps/{app_token}/roles/{role_id} |
- |
角色类型: owner / editor / reader
/apps/:app_token/tables/:table_id/statistics 该接口不存在,飞书官方文档中未提供统计汇总 API。
如需统计数据(如求和、计数),建议:
POST .../records/search 拉取全量记录后在客户端计算SUM、COUNT)后通过 API 读取字段值int(datetime.timestamp() * 1000))已通过实测验证的 15 种字段类型:
测试表格:https://jvbmlo28x0.feishu.cn/base/YdOpb47PvalSbQsHPyXc7LrNnUh
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Solid pick for teams standardizing on skills: feishu-bitable is focused, and the summary matches what you get after install.
feishu-bitable has been reliable in day-to-day use. Documentation quality is above average for community skills.
feishu-bitable fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
feishu-bitable has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: feishu-bitable is focused, and the summary matches what you get after install.
feishu-bitable has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: feishu-bitable is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: feishu-bitable is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: feishu-bitable is focused, and the summary matches what you get after install.
I recommend feishu-bitable for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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