pms-ingest

Automating wiki ingestion involves classifying raw files into wiki/sources/{type}/ directories and updating reference documents. This Skill handles the end-to-end workflow by reading, classifying, and routing files deterministically in alphabetical order.

When ingesting duplicate files into wiki sources, the workflow skips them to prevent redundant data. This ensures repeatable workflows for ongoing file drops without creating duplicate index entries or overwriting existing source documents.

File classification for wiki sources works by reading raw files and determining their type to route them into wiki/sources/{type}/ directories. It then updates the wiki readme, schedule, decisions, and index to reflect new sources and maintain correct links.

If your raw directory is empty, the ingestion workflow reports the empty state and makes no changes. You can safely run it repeatedly for ongoing file drops, as it processes directories deterministically without altering existing wiki documents when no new files exist.

The best way to maintain wiki indices after dropping new files is to run an automated ingestion workflow. This Skill updates the wiki readme, schedule, decisions, and index automatically by extracting metadata and creating index entries to maintain correct links.

Yes, the wiki ingestion workflow processes all files deterministically in alphabetical order. This ensures consistent wiki document updates, predictable index generation, and repeatable workflows across multiple ingestion runs.