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lark-base

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
One-click install
npx skills add https://github.com/liutao96/skill --skill lark-base-liutao96
Or copy as Structured Prompt for Agent▼
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.

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