lark-skill-maker

To automate Lark CLI tasks for AI agents, you package manual operations into a reusable Skill by defining a SKILL.md file with YAML frontmatter. This encodes instructions and metadata for consistent execution.

A Lark CLI Skill is a reusable instruction set that standardizes manual CLI operations for AI agents. It works by using a SKILL.md file with YAML frontmatter to define the task, along with optional supporting directories.

You create a reusable developer tool by adding a SKILL.md file with proper YAML frontmatter to a new folder. The frontmatter must include a name and description, while the body contains the operational instructions.

Yes, you can package both atomic API calls and multi-step flows into a Skill for team sharing. This enables consistent execution across projects by defining the workflow inside a SKILL.md file.

Setting up a Skill template requires a SKILL.md file at the root with YAML frontmatter. You can also include optional scripts/, references/, and assets/ directories to support the implementation.

Packaging atomic API calls into a Skill requires no external dependencies. You only need to create a SKILL.md file with the appropriate YAML frontmatter and operational instructions.