memory-canonicalize

To convert raw memory notes into structured markdown wiki entries, the skill applies category-specific formatting to shape content for projects, concepts, or people while generating a normalized slug. This standardizes memory capture workflows into consistent wiki-ready markdown.

The best way to normalize slugs and detect collisions is by converting proposed slugs to kebab-case and checking for existing entries. This process decides whether to safely update existing content or create a new markdown entry to prevent wiki drift.

Cross-linking works by proposing related wiki links based on existing candidate discovery during the memory promotion workflow. It identifies related entries and generates a concise index line alongside the formatted markdown content for publication.

Yes, you can use memory canonicalization for updating existing wiki entries because it handles update-versus-create decisions. By checking for existing slugs, it determines whether to overwrite current content or generate a completely new markdown file.

You need to generate an index line for your markdown wiki when promoting memory items to ensure downstream writing steps stay aligned. It provides a concise publication reference that links the newly standardized entry into the broader wiki structure.