Use to build and analyse the knowledge wiki as a graph. Runs scripts/wiki-to-graph.py (from the research project template) to export an interactive self-contained graph.html (open in any browser, no install) plus graph.json / graph.graphml — and answers questions against the live wiki via deterministic query sub-commands (neighbors, path, god-nodes, bridges, relations, search, stats), grounded in the result — most-connected pages (god nodes), entities that bridge otherwise-unconnected sources, relation types and confidence (inferred vs grounded), clusters and weak spots. Triggers include "build/show me a knowledge graph", "map the wiki", "graph view of my research", "which entity connects or bridges my sources", "what are the most connected or central pages", "find surprising connections", "where are the gaps or weak links in the wiki", "export the wiki to Gephi/yEd". For frontmatter and wikilink validation use wiki-lint; for content and claim audit use semantic-wiki-review.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
Use to build and analyse the knowledge wiki as a graph. Runs scripts/wiki-to-graph.py (from the research project template) to export an interactive self-contained graph.html (open in any browser, no install) plus graph.json / graph.graphml — and answers questions against the live wiki via deterministic query sub-commands (neighbors, path, god-nodes, bridges, relations, search, stats), grounded in the result — most-connected pages (god nodes), entities that bridge otherwise-unconnected sources, relation types and confidence (inferred vs grounded), clusters and weak spots. Triggers include "build/show me a knowledge graph", "map the wiki", "graph view of my research", "which entity connects or bridges my sources", "what are the most connected or central pages", "find surprising connections", "where are the gaps or weak links in the wiki", "export the wiki to Gephi/yEd". For frontmatter and wikilink validation use wiki-lint; for content and claim audit use semantic-wiki-review.
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Use to build and analyse the knowledge wiki as a graph. Runs `scripts/wiki-to-graph.py` (from the research project template) to export an interactive self-contained graph.html (open in any browser, no install) plus graph.json / graph.graphml — and answers questions against the *live* wiki via deterministic query sub-commands (`neighbors`, `path`, `god-nodes`, `bridges`, `relations`, `search`, `stats`), grounded in the result — most-connected pages (god nodes), entities that bridge otherwise-unconnected sources, relation types and confidence (inferred vs grounded), clusters and weak spots. Triggers include "build/show me a knowledge graph", "map the wiki", "graph view of my research", "which entity connects or bridges my sources", "what are the most connected or central pages", "find surprising connections", "where are the gaps or weak links in the wiki", "export the wiki to Gephi/yEd". For frontmatter and wikilink validation use `wiki-lint`; for content and claim audit use `semantic-wiki-review`.
About this listing
Category
Science & research
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI