What problem does it solve? Turning Feishu (Lark) OpenAPI operations into repeatable, discoverable AI skills requires knowing which lark-cli commands exist, what parameters and scopes each API needs, and how to structure a SKILL.md file. This Skill standardizes that entire authoring workflow. ## Core Features & Use Cases - API Research Workflow: Guides discovery of registered APIs, shortcuts, and raw OpenAPI endpoints via lark-cli --help, lark-cli schema, and lark-cli api calls. - SKILL.md Template: Provides a ready-made frontmatter and body template covering commands, multi-step orchestration, and permission scope tables. - Authoring Principles: Enforces trigger-friendly descriptions, authentication scope documentation, dry-run safety for write operations, and rollback guidance for multi-step flows. - Use Case: When you need to package a Feishu operation—such as searching meeting rooms or orchestrating a multi-step document workflow—into a reusable skill, this Skill walks you from API investigation to a finished skills/lark-<name>/SKILL.md. ## Quick Start Ask the AI to create a new lark skill that wraps a specific Feishu API operation, such as searching VC rooms, using lark-cli.
