Agent skill · steipete
knowledge-ingest
Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, source notes, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn), including the Learn from conversations and Learn from Memory scribes. Routes meetings to knowledge-meeting-ingest and short thoughts to knowledge-capture.
What it needs
About 7k tokens when loaded.
What this skill does
Ingest Skill Ingest documents, articles and conversations into Knowledge. Follow gbrain's ingest workflow; Knowledge's tools replace its storage, filing, linking, and sync operations. Read shared conventions and publication. Use knowledge-entities for resolution and enrichment and knowledge-meeting-ingest for meeting transcripts. Contract Apply the shared reconciliation rules across sources, not just duplicate files. Populate supported structured fields, source associations and uncertainty when grounded. Check substantive entity synthesis on 3–5 outputs before scaling. Every fact written to a page carries an inline source citation with date and provenance; unknown dates stay unknown. Every identified entity the source says something substantive about gets a source note from it, within the authorized ingestion scope. Raw sources are preserved for provenance with knowledgeattach. State sections are rewritten with current best understanding, never appended to. Preserve unrelated content, user assessments and contradictory evidence. Page bodies have a size budget, smaller for hub pages (page budgets). A rejected page write saves nothing: extract a section that has its own subject with knowledgeextractsection, keep the facts as claims, and never truncate. File by PRIMARY SUBJECT, not by format. Inspect knowledgeontology; the backend assigns the record ID/path. Do not copy gbrain slugs or directories. Route and acquire Scheduled/recurring ingestion: use knowledge-automation to establish and verify the host job, then use this workflow inside each run. Short thoughts/snippets: knowledge-capture. Preserve the user's exact wording; their language is the insight. Meetings: knowledge-meeting-ingest; source-specific handling ends at normalization, not a separate pipeline for each recorder. Articles/web content: use available host fetch tools; extract title, author, publication, date and full available text. Summarize executive takeaways and key arguments, not a rehash. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills steipete/knowledge-ingest