What problem does it solve? Turning Feishu (Lark) OpenAPI 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 SKILL.md so it triggers correctly. This Skill standardizes that entire authoring workflow. ## Core Features & Use Cases - API Discovery Workflow: Guides investigation of registered APIs, shortcuts, and raw lark-cli api calls, with schema lookup via lark-cli schema. - SKILL.md Template: Provides a ready-made frontmatter and body template covering commands, multi-step orchestration, and permission scopes. - Authoring Principles: Enforces best practices for trigger-friendly descriptions, authentication scopes, dry-run safety, and step-by-step data passing. - Use Case: You want to package a multi-step Feishu workflow—such as searching meeting rooms and booking one—into a reusable Skill. This Skill walks you through researching the APIs, then generates a compliant skills/lark-<name>/SKILL.md. ## Quick Start Ask the AI to create a new lark-cli Skill that wraps the Feishu API operation you need, describing the task it should automate.
