A comprehensive API skill for performing CRUD operations on Feishu Bitable data tables, records, and fields.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feishu-api-bitable
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install feishu-api-bitable using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill provides a robust interface to interact with Feishu Bitable (Multi-dimensional Tables) through its official API. It allows developers and automated agents to programmatically manage data structures, perform complex queries, and handle bulk data operations within the Feishu ecosystem. By leveraging this tool, you can bridge the gap between your local development environment or AI agents and your cloud-based databases.
Integrating this into your collection of Openclaw Skills empowers your workflow with high-performance data management. It handles the complexities of authentication, rate limiting, and data validation, allowing you to focus on building value-driven automations. Whether you are building a custom CRM or a project management dashboard, this skill provides the necessary plumbing to interact with Feishu at scale.
To get started with this skill, follow these installation steps:
# Navigate to the skill directory
cd skills/feishu-bitable
# Install required dependencies
npm install
# Configure your Feishu credentials
export FEISHU_APP_ID=your_app_id
export FEISHU_APP_SECRET=your_app_secret
# Verify the installation
node bitable-cli.js --help
The skill manages data according to the Feishu Bitable hierarchy. Below is the organization of metadata and record structures:
| Component | Description |
|---|---|
| App Token | The unique identifier for the specific Bitable document. |
| Table ID | The identifier for individual sheets/tables within the document. |
| Records | Row-level data containing field-value pairs. |
| Fields | Column definitions including types like single_select, date, and attachment. |
| Filters | JSON-based query conditions for advanced record retrieval. |
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