Parse wiki-links to build an adjacency map and generate an insights report.
npx skills add https://github.com/alexanderop/vault-astro --skill exploring-graph
Please help me install this Agent Skill. Skill: exploring-graph Source: https://github.com/alexanderop/vault-astro/tree/main/.claude/skills/exploring-graph Command: npx skills add https://github.com/alexanderop/vault-astro --skill exploring-graph
This Skill helps you analyze and understand the structure of large knowledge graphs by mapping wiki-links, measuring connectivity, and surfacing central notes, orphan notes, and clusters.
Analyze the knowledge graph by building the connection map from wiki-links and generating an insights report.
High-intent search queries and answers about installing and using this skill.
You can identify orphan and hub notes by parsing wiki-links to build an adjacency map, then computing incoming and outgoing connection counts per note to reveal structural patterns in your knowledge graph.
Knowledge graph analysis maps wiki-links by parsing content to construct an adjacency list, which measures connectivity and surfaces central notes, clusters, and broken links within document collections.
Generate an insights report by computing graph metrics like total connections and clustering, producing an organized summary of hub lists, orphan notes, and connection opportunities for your project notes.
Yes, broken link detection and cluster identification work for document collections by building an adjacency map from wiki-links to map note relationships and flag invalid references.
The best way to identify MOCs and dead ends in a wiki-link graph is to compute incoming and outgoing link counts per note, categorizing high-traffic notes as hubs and isolated notes as dead ends.
zhiluopEdit Siyuan notes with SFMarkdown to render wiki links, block references, and embedded blocks.
KirillKlemGenerate structured hub notes for topic clusters in Obsidian.
mattniedelmanIdentify orphan notes and propose relations in large note collections.
AesopScottGenerate graphical representations of data schemas for daily review cycles.
