Logseq Doctor provides a powerful command-line interface for enhancing your Logseq Markdown files, ensuring that they are well-structured and optimized for integration into your Logseq environment. This tool is designed to assist users in converting plain Markdown files into Logseq's outline format, managing tasks effectively, and maintaining tidy Markdown documents.

Key Features

• Backlog Management: Combine tasks from various pages into an organized backlog with features such as overdue detection and smart categorization to enhance your productivity.
• Content Management: Easily append raw Markdown content to your Logseq pages or journals for improved organization.
• Markdown Integration: Flexibly parse and integrate Markdown content with support for parent blocks and targeted journal entries.
• Task Management: Add or update tasks swiftly using a key-based search method, ensuring that all task properties and sub-tasks are preserved.
• Tidy Up: Automatically clean and standardize Markdown files to maintain a consistent structure.
• Fast Performance: Built in Go, Logseq Doctor offers speed and efficiency for all command execution.
• Outline Conversion: Seamlessly convert flat Markdown files into the hierarchical outline format that Logseq supports.
• Task Listing: Effortlessly manage tasks across your Logseq graph for better visibility and prioritization.

Getting Started

Running Logseq Doctor is straightforward. Execute lqd to explore available commands:

lqd

This command will display the capabilities of Logseq Doctor, including various subcommands like backlog, content, task, and tidy-up, each designed to facilitate a specific aspect of Markdown file management.

For users familiar with Python, the original CLI tool can be accessed via lqdpy, providing similar functionalities along with the option to introduce new features as development progresses.

The current version remains in alpha, showcasing essential functionalities while more enhancements and refinements are planned for future releases. Logseq Doctor aims to empower users to efficiently manipulate Markdown files, laying a strong foundation for an improved workflow in Logseq.