Skill UI

This guide provides detailed best practices for writing and maintaining comprehensive End-to-End (E2E) test cases for the 'lark-cli' tool. It covers the entire workflow, from exploring live help documentation and identifying leaf commands, to structuring state-proving tests (e.g., read-after-write assertions) and generating the required `coverage.md` artifact. Use this when adding or significantly updating E2E coverage for any specific functional domain.

Complex Skill CLI wraps multi-line metadata and coordinates lark-cli plus Node.js binaries to expose a predictable helper for complex automation or deployment tasks within CLI-driven workflows.

Lark Event Listener connects to Feishu via a WebSocket long-lived stream to subscribe to messages, contacts, and calendar changes, emitting NDJSON to stdout. Supports compact agent formatting, regex routing, and file outputs for building realtime event-driven pipelines.

Explores Feishu/Lark native OpenAPI docs when existing lark-* skills or CLI commands lack coverage, fetching markdown indexes stepwise to surface raw API specs and ready-to-run `lark-cli api` invocations.

Guides agents through Lark CLI configuration initialization, auth login as user or bot, identity switching, scope and permission management, error handling, and update reminders so they can safely onboard tooling and troubleshoot permission issues.

Guides developers to wrap Feishu API calls into reusable lark-cli skills, covering API research, command templates, and best practices for authentication, permissions, and orchestration.