MattArtzAnthro

57 mods in 2 plugins, 2 repositories, 50 stars between them.

analyze-network

03

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Run a rigorous structural analysis of the loaded Gephi graph, compare centralities, characterize communities, and report what the data does and does not support. Use for comprehensive network analysis or interpretation rather than one claim or a styling-only task.

not rated 25 +3 changed 21d ago A SkillSpector: pass 51 tokens original Apache-2.0

build-text-network

04

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Turn transcripts, field notes, survey answers, documents, or social posts into a tuned word co-occurrence network in Gephi. Use for build a text network, concept map this corpus, visualize themes in text, or inspect discourse as a graph.

not rated 25 +3 changed 21d ago A 54 tokens original Apache-2.0

centrality-analysis

05

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Compute and compare degree, betweenness, PageRank, eigenvector, closeness, and eccentricity in the loaded Gephi graph. Use to identify hubs, bridges, authorities, and possible structural vulnerabilities without conflating different meanings of importance.

not rated 25 +3 changed 21d ago A 53 tokens original Apache-2.0

community-detection

06

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Detect, validate, visualize, and explain communities in the loaded Gephi graph using Louvain or an installed Leiden statistic. Use for community detection, modularity, cluster coloring, or resolution comparisons.

not rated 25 +3 changed 21d ago A SkillSpector: pass 43 tokens original Apache-2.0

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Test a hypothetical edit against the loaded Gephi graph without changing the real workspace. Use for what-if questions such as removing hubs, adding ties, deleting ties, or comparing structural resilience.

not rated 25 +3 changed 21d ago A 42 tokens original Apache-2.0

explore-network

08

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Explore the graph already open in Gephi through intake, profiling, goal-directed analysis, styling, layout, and an overview. Use when the user has a graph loaded and wants an initial guided exploration without importing a file.

not rated 25 +3 changed 21d ago A 48 tokens original Apache-2.0

export-map

09

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Export the current Gephi map as a clean PNG, labeled PNG, and SVG after checking that it is laid out, styled, and visually valid. Use for publication-ready map export and caption handoff.

not rated 25 +3 changed 21d ago A SkillSpector: pass 44 tokens original Apache-2.0

import-and-explore

10

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Import a GEXF, GraphML, GML, CSV, DOT, or Pajek file into its own Gephi workspace, profile it, style it, lay it out, and present an initial evidence-aware exploration.

not rated 25 +3 changed 21d ago A 50 tokens original Apache-2.0

teach-with-gephi

11

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Run narrated, watch-along network analysis in Gephi for teaching, demos, and paired exploration. Use when a person is watching Gephi Desktop and wants every visible change explained and connected to a network-science concept.

not rated 25 +3 changed 19d ago A SkillSpector: pass 49 tokens original Apache-2.0

verify-claim

12

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Independently verify one plain-language structural claim about the loaded Gephi graph and report confirmed, refuted, or cannot tell with measurements and live-graph receipts. Use for claims about centrality, connectivity, comparison, grouping, or robustness.

not rated 25 +3 changed 21d ago A 53 tokens original Apache-2.0

visualize-network

13

MattArtzAnthro/gephi-ai

Skill Claude CodeCodex

Turn the graph currently open in Gephi into a clean, legible, publication-ready map through a measured layout, visual-QA, inspection, and adjustment loop. Use for visualize, lay out, style, make this readable, or make this publication-ready.

not rated 25 +3 changed 21d ago A 56 tokens original Apache-2.0

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