Extract factual claims from URLs, PDFs, and text files into a vault entity graph.
npx skills add https://github.com/Seth090502/osanwe-public --skill ingest-seth090502
Please help me install this Agent Skill. Skill: ingest Source: https://github.com/Seth090502/osanwe-public/tree/main/.claude/skills/ingest Command: npx skills add https://github.com/Seth090502/osanwe-public --skill ingest-seth090502
This Skill automates the extraction of claims from various sources and integrates them into a vault entity graph, streamlining the process of onboarding research and distributing factual information.
Use the ingest skill to process the latest earnings report for Company XYZ by running the command: /ingest path/to/earnings-report.pdf.
High-intent search queries and answers about installing and using this skill.
You can extract factual claims from a PDF by running the ingest command with the file path, which parses the document and integrates the extracted facts into an entity graph.
Automating entity graph integration is best achieved by extracting claims from text files and distributing them across the vault using atomic commit discipline to maintain data integrity.
Yes, you can process fact-dense content like earnings call transcripts to automatically extract claims and update entity notes within your knowledge base.
Claim extraction handles deduplication by applying text processing and deduplication techniques during integration, ensuring redundant factual claims are not duplicated within the entity graph.
Yes, fact extraction works with URLs and unstructured text files by parsing various text-based sources to onboard research and populate a structured entity database.
HarriesExtract text from PDFs and scanned documents using pymupdf and marker-pdf.
Mang30Ingests papers and records typed relationships in a graph-based research wiki.
yonatangrossOrchestrate knowledge graph memory operations with entity extraction and deduplication.
luyzkkEnforce conventional commits, atomic save-point commits, and short-lived branches.
