collect-knowledge

You can extract concepts from source code to build a knowledge base by analyzing source files, loading categories, and generating structured knowledge entries. This process automates the collection of knowledge from codebases of varying languages and sizes.

Organizing source code into structured knowledge entries involves analyzing files to extract concepts, loading predefined categories, and generating entries. The process updates the knowledge index and supports a confirmation workflow before final creation.

You need a frontmatter-defined SKILL.md file with name and description to automate source code analysis. The Skill supports tools like Read and Bash to process source files and output structured knowledge data across varying codebase sizes.

Yes, you can generate knowledge entries from codebases of different programming languages. The knowledge collection process applies to codebases of varying languages and sizes, analyzing source files to extract concepts for the knowledge base.

You update the knowledge index after extracting concepts by using the automated collection workflow, which generates entries and updates the index. It includes a confirmation workflow before creation to ensure accurate knowledge entry generation.