lark-task

You can manage Feishu tasks by issuing natural language requests that create, update, complete, assign, and remind. The skill translates these commands into reliable API operations, handling summaries, descriptions, and due dates automatically.

Yes, you can organize project-style tasklists by creating new lists, adding existing tasks into specific sections, and managing tasklist members. This supports structured task organization and progress tracking for collaborative projects.

Repeat and reminder rules require a due date to be set first, and the task start date must be earlier than or equal to the due date. The skill enforces these identity and time constraints to ensure valid task scheduling.

Yes, uploading attachments and handling subtasks are supported through dedicated endpoints. You can also assign or unassign collaborators, manage followers, and register task agent profiles to track progress and collaboration.

The skill applies heuristics to choose between list and search flows based on time-bounded or keyword-based queries. It supports pagination and cursors while keeping identities correct, returning task URLs in the results.

Yes, lark-cli is a required dependency for executing task operations. You also need to read lark-shared for authentication to ensure correct API parameter shapes and identity rules when delegating work to collaborators.