lark-agent

To convert a markdown test plan into Lark tasks, this skill parses the markdown file to extract scenarios and ownership, then generates a structured JSON representation for batch task creation. It orchestrates MCP calls to build the complete Lark task hierarchy in one batch.

Yes, Lark batch task creation supports subtasks and milestones. The skill generates an executable MCP plan that creates task lists, parent tasks, milestones, and subtasks hierarchically, automating ownership, dates, and priorities without intermediate per-task calls.

Before generating Lark tasks from markdown files, you need Python and JSON configured in your environment. You must provide a structured markdown test plan file and optional parameters like owner name and target date to execute the batch creation script.

Parsing markdown test plans reduces token usage by generating a fully-contained batch MCP plan. Instead of making intermediate per-task API calls, it constructs the entire Lark task hierarchy and JSON representation in one execution pass, minimizing overhead.

Yes, you can assign owners and target dates to multiple Lark tasks from a markdown file. By passing optional arguments like owner name and target date to the script, the skill automates the attribution of ownership, dates, and priorities across all extracted scenarios.

Using a JSON representation when converting markdown documentation into Lark tasks provides a structured, intermediate data format. This enables accurate MCP batch plan construction for task lists and subtasks, ensuring reliable automated ownership and date assignment before final status reporting.