lark-base

Name: lark-base
Availability: InStock
Author: liutao96

Manage Lark Base tables, fields, records, views, and dashboards via CLI.

Updated Feb 14, 2026

Search Tags:#dashboards #fields #workflows #tables #records #lark-base #base-commands

Ready to run

npx skills add https://github.com/liutao96/skill --skill lark-base-liutao96

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lark-base
Source: https://github.com/liutao96/skill/tree/main/lark-base
Command: npx skills add https://github.com/liutao96/skill --skill lark-base-liutao96

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manage and automate Feishu's Lark Base data architecture by providing a comprehensive CLI for tables, fields, records, views, dashboards, and workflows.

Core Features & Use Cases

Atomic command primitives for table, field, record, view, dashboard, and workflow management.
Safe, serializable operations with strict guidance and references for data integrity and permissions.
Use cases include provisioning new bases, configuring dashboards, and automating data workflows across teams.

Quick Start

Create a new base named 'Sales Pipeline' and a sample table with fields to start capturing opportunities.

Frequently Asked Questions about lark-base

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

FAQPage Schema

How do I automate Feishu Lark Base table and record management?▼

Automate Feishu Lark Base table and record management by using atomic CLI command primitives like +record-upsert and +field-create, which enable safe, serializable operations for provisioning and updating data architectures.

Can I programmatically configure dashboards and views in Feishu Base?▼

Yes, you can programmatically configure dashboards and views in Feishu Base using specific atomic commands like +view-set-filter and +dashboard-* to orchestrate complex workflows and automate data views across teams.

What is the best way to provision a new Feishu Base data architecture?▼

The best way to provision a new Feishu Base data architecture is through a comprehensive CLI that requires a base_token and table_id to execute strict, serialized operations for consistent resource governance.

Does the Lark Base CLI support strict permission controls for team workflows?▼

Yes, the Lark Base CLI supports strict permission controls and serialized operation semantics, ensuring safe data integrity and governance when automating workflows and provisioning Base resources across multiple teams.

What do I need to start automating Feishu Base data workflows?▼

To start automating Feishu Base data workflows, you need a base_token, table_id, and field definitions to execute atomic commands like +table-list and +record-upsert for consistent resource provisioning.