create-task

To turn natural-language descriptions into structured tasks, you describe the task in plain language and let the AI generate a formal task with a title, inferred type, and branch metadata. It automatically creates a task directory and task.md file with status and timestamps.

Generating task.md files with YAML frontmatter from plain text is done by parsing your informal description into structured metadata. The output includes a concise title, inferred task type, branch label, and initialized status tracking required for project workflows.

You can automatically infer task type and branch naming convention from a plain text description. The parsing logic extracts the necessary metadata from your input and wires it directly to a branch label, ensuring your task onboarding matches your workflow.

Natural-language task management works without external dependencies. The process runs entirely within your environment to create the task directory and task.md file, requiring no additional components to parse descriptions and initialize tracking metadata.

You need to use AI-assisted task onboarding instead of manual entry when you want to reduce ambiguity and speed up task creation. It is designed to translate informal user descriptions into structured, trackable tasks efficiently for project management workflows.