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feishu-bitable

Manage Feishu Bitable apps, tables, fields, views, and records.

1|Updated Mar 10, 2026
Search Tags:#database#feishu#lark#records#bitable#bulk import#field schema
One-click install
npx skills add https://github.com/picpic2013/feishu-openclaw-plugin --skill feishu-bitable-picpic2013
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: feishu-bitable
Source: https://github.com/picpic2013/feishu-openclaw-plugin/tree/main/skills/feishu-bitable
Command: npx skills add https://github.com/picpic2013/feishu-openclaw-plugin --skill feishu-bitable-picpic2013

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of working with Feishu Bitable by helping you create, inspect, update, and search structured workspace data without memorizing API field formats.

Core Features & Use Cases

  • Create and manage apps, tables, fields, and views for structured business data.
  • Read, add, update, delete, and batch import records with support for people, dates, attachments, selects, links, and relations.
  • Run filtered searches, multi-field sorting, and safe bulk operations for customer management, task tracking, and operational databases.

Quick Start

Use the feishu-bitable skill to inspect the table schema and import the records I provide with the correct field values.

Frequently Asked Questions about feishu-bitable

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bulk import records into Feishu Bitable without field format errors?▼

Feishu Bitable bulk imports require strict field schema inspection before writing data. You must format people, dates, and attachments correctly to execute batch-safe write limits without API errors.

What is the correct format for user and attachment fields in Feishu Bitable?▼

Correct user and attachment value formats in Feishu Bitable depend on strict field schema inspection. Formatting these relational fields accurately ensures reliable API execution for collaborative workspace records.

Can I run filtered searches and multi-field sorting on Feishu Bitable records?▼

You can run filtered searches and multi-field sorting on Feishu Bitable records to manage customer databases and task trackers. This enables precise retrieval of structured business data in collaborative workspaces.

Does Feishu Bitable support batch-safe write limits for large operational databases?▼

Feishu Bitable supports batch-safe write limits for managing large operational databases. Adhering to these limits and using correct millisecond timestamps ensures reliable API execution during bulk record updates.

Why does my Feishu Bitable API update fail when modifying date records?▼

Feishu Bitable API updates fail when modifying date records if precise millisecond timestamps are not used. Inspecting the field schema and converting dates to milliseconds ensures successful record updates.

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