lark-skill-maker

Name: lark-skill-maker
Availability: InStock
Author: liutao96

Wrap Feishu API tasks into reusable Skills for the Lark CLI.

Updated Feb 14, 2026

Search Tags:#automation #workflow #integration #openapi #cli #skill-builder #lark-cli

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Wraps Feishu API tasks into reusable Skills for the Lark CLI.

Core Features & Use Cases

Encapsulates single or multi-step CLI workflows that wrap Feishu API calls into shareable Skills.
Uses a single SKILL.md as the entry point to drive AI-assisted task execution.
Provides a clear template and workflow for defining name, description, and required metadata to standardize Skill creation.

Quick Start

Create a new Skill by adding a SKILL.md at the skill root that defines name, description, and required metadata.

Frequently Asked Questions about lark-skill-maker

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

FAQPage Schema

How do I wrap Feishu API calls into a reusable Lark CLI Skill?▼

To wrap Feishu API calls into a reusable Skill, create a SKILL.md file at the skill root directory with the required name and description frontmatter metadata to drive AI-assisted execution.

What do I need to start building a Lark CLI Skill for Feishu API workflows?▼

You need a SKILL.md file at the skill root directory containing required name and description frontmatter metadata to start building a Lark CLI Skill for Feishu API workflows.

Can I include multi-step CLI workflows and custom scripts in a packaged Feishu Skill?▼

Yes, you can encapsulate single or multi-step CLI workflows in a packaged Feishu Skill, optionally supporting custom scripts, references, and assets alongside the required SKILL.md file.

What is the best way to standardize Feishu API task automation into shareable units?▼

The best way to standardize Feishu API task automation is to use a SKILL.md entry point that defines required metadata to package CLI workflows into shareable units.

Are there limitations when using a single SKILL.md file to package Feishu API workflows?▼

The limitation is that packaging Feishu API workflows requires a SKILL.md file as the mandatory entry point; without proper frontmatter metadata defining the name and description, the AI-assisted execution cannot proceed.

Does Lark CLI support encapsulating multi-step OpenAPI workflows into shareable units?▼

Yes, Lark CLI supports encapsulating single or multi-step OpenAPI workflows into shareable units by defining a SKILL.md file at the skill root with required metadata to drive task execution.