What problem does it solve? Turning raw Feishu (Lark) API operations into reusable, discoverable AI Skills requires knowing which lark-cli commands exist, what parameters and scopes each API needs, and how to structure a proper SKILL.md. This Skill guides that entire authoring process so new Skills are consistent and correctly triggered. ## 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 template covering frontmatter (name, description, version), command examples, multi-step orchestration notes, and a permission scope table. - Authoring Principles: Enforces trigger-friendly descriptions, authentication scope documentation, dry-run safety for write operations, and data-passing/rollback guidance for multi-step flows. - Use Case: You want to package a "create meeting room reservation" flow as a reusable Skill. Use this Skill to discover the right vc APIs, confirm required scopes, and generate a lark-room-booking/SKILL.md that other AI sessions can trigger. ## Quick Start Ask the AI to create a new lark-cli Skill that wraps a specific Feishu API operation, such as searching meeting rooms, and generate the SKILL.md for it.
