The Research Quest plugin enhances the research workflow in Obsidian by automatically generating insightful questions based on the content of your notes. By leveraging OpenAI's GPT models, it identifies potential areas of inquiry from the current document and tracks your progress in addressing them. The plugin maintains a dynamic list that distinguishes between active and answered research questions, updating automatically as you write.
The Word Frequency plugin helps Obsidian users analyze their notes by displaying a list of the most frequently used words in a sidebar. It supports filtering, ignoring specific words through a blacklist, and setting a minimum occurrence threshold to focus on meaningful terms. Designed to aid in keyword identification for SEO, résumé writing, and general content analysis, the plugin ensures special characters are excluded from counts.
The Lookalike plugin for Obsidian identifies notes similar to the one currently being viewed by analyzing word frequencies across the vault. It provides a sidebar view listing similar notes with similarity scores, making it easier to discover related content. Users can click on any note in the list to open it directly in the editor. Future updates aim to include customizable settings such as similarity thresholds, exclusion of certain folders or words, and alternative algorithms for similarity calculations. This plugin enhances navigation and connections within your knowledge base by surfacing related notes efficiently.
The Performium plugin introduces a fun, gamified approach to note-taking by calculating performance points (PP) inspired by the osu! game system. It analyzes your vault based on factors like readability, complexity, and informational content to generate a score reflecting the quality of your notes. A dedicated ribbon icon and command trigger the scoring process, which displays results in a modal once analysis is complete. Users can also choose between different PP system versions from the settings, which may affect the scoring outcome.