Route incoming content to ingestion workflows by detecting type and extracting entities.
npx skills add https://github.com/weiping/gbrain-cn --skill ingest-weiping
Please help me install this Agent Skill. Skill: ingest Source: https://github.com/weiping/gbrain-cn/tree/main/skills/ingest Command: npx skills add https://github.com/weiping/gbrain-cn --skill ingest-weiping
This Skill eliminates the manual effort of deciding what to save and how to structure it by automatically parsing incoming content and routing it into the right brain pages with citations and cross-links.
[Source: ...] citations and preserves raw sources for verifiability using gbrain files upload-raw.Ask your agent to ingest a meeting transcript you provide so it can create the meeting page, update all referenced entity pages, and add timeline entries with proper source citations.
High-intent search queries and answers about installing and using this skill.
To extract entities from meeting transcripts, route the content through an ingestion workflow that detects input types and extracts people, companies, and events. The system automatically creates pages, enforces back-links, and writes timeline entries with mandatory inline source citations.
Timeline propagation in a knowledge graph is the process of writing reverse-chronological entries across all entities mentioned in your documents. It ensures every event is tracked with inline source citations and raw source preservation for verifiability.
Yes, you can ingest articles, web pages, and PDFs into a knowledge graph with automatic back-linking. The workflow detects the document input type, extracts concepts and entities, and enforces back-links so mentions never go unlinked across pages.
Yes, content ingestion requires mandatory inline source citations for every written fact added to the knowledge graph. The workflow enforces provenance preservation and saves raw sources via file upload to ensure verifiability of extracted entities and events.
The best way to route social posts and media transcripts into a knowledge brain is using a content router that detects the input type and delegates to the correct ingestion workflow. This extracts entities, applies timeline propagation, and preserves raw sources.
starlink-awakenTransform raw webhook JSON payloads into structured markdown pages.
inbrainfunEnriches brain pages for notable persons and companies with sourced timelines and citations.
PostergullyCapture ideas and entity mentions from inbound messages into cross-linked brain pages.
GYF0311Parse unstructured content into knowledge base pages with citations.