What problem does it solve? Turning Feishu (Lark) API operations into reusable, discoverable Skills requires knowing which lark-cli commands exist, what parameters and scopes each API needs, and how to structure a valid SKILL.md. This Skill guides that authoring process end to end. ## Core Features & Use Cases - API Research Workflow: Inspect registered APIs and Shortcuts via lark-cli <service> --help, query parameter definitions with lark-cli schema, and call any unregistered Feishu OpenAPI endpoint through lark-cli api. - SKILL.md Template: Provides a ready-made frontmatter and body template covering description triggers, command examples, multi-step orchestration, and permission scope tables. - Authoring Principles: Enforces best practices such as trigger-oriented descriptions, authentication scope documentation, dry-run safety for write operations, and data-passing between orchestrated steps. - Use Case: You want to package a multi-step workflow—create a meeting room, then query it—into a reusable Skill. This Skill walks you through discovering the right endpoints, testing them with lark-cli, and writing the final SKILL.md. ## Quick Start Ask the AI to create a new lark-cli Skill that wraps the Feishu API operation you need, for example creating calendar events.
