What problem does it solve? Turning raw Feishu OpenAPI operations into reusable, discoverable AI Skills requires knowing which lark-cli commands exist, what parameters they accept, and how to document them consistently. This Skill guides the full process of researching APIs and authoring a well-formed SKILL.md. ## Core Features & Use Cases - API Research Workflow: Inspect registered APIs and Shortcuts with lark-cli <service> --help, query parameter definitions via lark-cli schema, and call unregistered endpoints through lark-cli api. - SKILL.md Template: Provides a ready-made frontmatter and body template covering description triggers, command examples, and required OAuth scopes. - Multi-Step Orchestration Guidance: Documents how to describe data passing between steps, rollback on failure, and parallel execution when composing multi-API workflows. - Use Case: When you need to package a Feishu operation—such as searching meeting rooms and booking one—into a reusable Skill, this Skill walks you from API discovery to a finished skills/lark-<name>/SKILL.md file. ## Quick Start Ask the AI to create a new lark Skill that wraps a specific Feishu API operation, such as querying calendar events, and it will research the API and generate the SKILL.md file.
