Individual skill

research-knowledge-graph

Turn a bibliography or literature corpus into a knowledge graph of papers, authors, venues, topics and citation links, then analyze it (citation clusters, key papers, bridging work, research gaps) or export it to Neo4j, Gephi, NetworkX, Obsidian or Markdown-graph tools such as graphify. Use when mapping a research field, building a citation network, finding influential or bridging papers, or visualizing how a literature connects. Zero-dependency builder with optional OpenAlex enrichment.

plugins/KalarisLabs/research-agent-skills/skills/research-knowledge-graph/SKILL.md

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# Research Knowledge Graphs

A literature review is a graph problem in disguise: which papers everyone
builds on, which clusters talk past each other, which work bridges them, and
where the gaps are. This skill builds that graph from a reference library and
hands it to whichever graph tool the user prefers.

## Build

```bash
# Offline: authors, venues and keywords from the .bib itself
python scripts/build_graph.py references.bib --out kg/

# Enriched: disambiguated authors (OpenAlex IDs, ORCID), venues, topics, and