Query PharmKG triples by entity name and export JSON results.
npx skills add https://github.com/QSong-github/DrugClaw --skill pharmkg-query
Please help me install this Agent Skill. Skill: pharmkg-query Source: https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_knowledgebase/pharmkg Command: npx skills add https://github.com/QSong-github/DrugClaw --skill pharmkg-query
PharmKG Query Skill helps researchers and developers retrieve knowledge graph relationships by searching the PharmKG triples with an entity name, enabling rapid, evidence-grounded exploration of biomedical links.
Run a query by providing an entity name to retrieve its related triples from PharmKG.
High-intent search queries and answers about installing and using this skill.
To find relationships between drugs, genes, and diseases, you query the PharmKG dataset by providing an entity name. The search returns related triples and normalized relations, prioritizing exact matches before falling back to substring results.
You can perform batch queries to search multiple biomedical entities simultaneously. The system processes multiple entity names and produces readable summaries or JSON exports of the matched triples.
To search for drug and gene interactions, you need a local copy of the PharmKG train.tsv file. The system loads this file to build the searchable index of biomedical triples before executing queries.
The biomedical knowledge graph search supports case-insensitive matching. It prioritizes exact matches first and uses a substring fallback to retrieve related drugs, genes, and diseases.
You export biomedical knowledge graph query results using the built-in JSON export utility. After querying entities and summarizing the hits, you can convert the retrieved triples into JSON format for integration.
ethan-rioExtract entity-relation triples from Obsidian notes into graph memory stores.
monarch-initiativeIdentify enriched pathways, GO terms, and disease associations from gene lists.
dralkhQuery PrimeKG CSV data to retrieve biomedical entities and relationships.
shushuznSearch biomedical entities and extract neighbor associations from the PrimeKG knowledge graph.
