secondbrain-search-init

Semantic search enables efficient document discovery within a knowledge management project by indexing documents for meaning rather than just keywords. It requires a local project with config.yaml and a qmd installation to create the search directory and build the index.

Initializing qmd indexing requires a local secondbrain project containing a .claude/data/config.yaml file and a working qmd installation. The process validates your environment, creates the .claude/search directory with a qmd.config.json file, and executes the index creation.

Yes, you can automatically update the search index when documents change by enabling optional automatic update hooks during initialization. These hooks trigger incremental indexing, ensuring your qmd-based semantic search results reflect the latest document modifications without manual rebuilds.

No, semantic search initialization does not work without a qmd installation. A functioning qmd environment is a strict prerequisite for the skill to validate your setup, create the qmd.config.json file, and execute the qmd index command for efficient document discovery.

A limitation of using qmd for knowledge management search is its dependency on a specific local project structure requiring a config.yaml file. Additionally, the automatic update hooks are optional, meaning incremental indexing will not occur unless explicitly configured during the initialization process.