documentation

To create standard markdown documentation, use the create_knowledge_entry operation to generate .md files with strict frontmatter and naming conventions. This enforces a consistent format across READMEs and API docs, ensuring project knowledge is preserved and easily discoverable.

Indexing API docs is handled by rebuilding the knowledge index to update README tables, while search_knowledge_base allows rapid discovery of existing wisdom. This workflow standardizes documentation lifecycle management and enables quick information retrieval across codebases.

Yes, this knowledge management workflow operates without external dependencies, using only internal scripts. It applies to teams creating and updating guides and API docs, enforcing standard formatting and frontmatter conventions directly within your repository.

A knowledge harvest workflow maintains project documentation by enforcing a consistent format and standardizing the documentation lifecycle. It automates the creation of knowledge entries and index updates, ensuring that context turns into enduring, searchable docs.

Using strict frontmatter and naming conventions for markdown files requires adherence to the enforced knowledge harvest workflow. While this ensures standard formatting and rapid discovery, it may constrain teams needing highly customized or non-standard documentation structures outside the specified operations.