building-knowledge-base

Organize a knowledge base taxonomy by applying a two-axis model—descriptive versus prescriptive and platform-agnostic versus platform-specific—to guide folder placement and ensure content consistency. This prevents duplicative concepts and ambiguous document categorization.

Promote research findings into final knowledge base documentation when they reach a canonical state, moving them into dedicated findings folders. This ensures validated reference content is discoverable and structurally separated from ongoing exploratory research.

Decide if content belongs in a knowledge base versus a project tracker by applying predefined placement rules. Use the knowledge base for canonical reference and final findings, and route active task tracking and operational items to the project tracker.

Structure knowledge base folders by enforcing README-per-folder requirements and local frontmatter conventions. This maintains discoverability and cross-linking within the ecosystem by providing clear navigational context and metadata for every directory.

Governing knowledge base content may require proposing structural changes to existing folder layouts when current structures violate the two-axis taxonomy. Enforcing placement rules ensures correct document categorization and long-term content organization.

A limitation of using a two-axis taxonomy for content management is the strict prohibition on duplicative or ambiguous concepts, which requires continuous structural governance and potentially frequent folder realignment to maintain semantic correctness.