Agent skill

graph-analysis

Analyze follower/following network graphs — find clusters, influencers, bridges, and audience segments using graph algorithms. Use when users want to understand the network structure of their X audience or competitor's audience.

View SKILL.md on GitHub Repository
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Forks 39

Install this agent skill to your Project

npx add-skill https://github.com/nirholas/XActions/tree/main/skills/graph-analysis

Metadata

Additional technical details for this skill

author
nichxbt
version
1.0

SKILL.md

Graph Analysis

API-powered network graph analysis for X/Twitter follower relationships.

Entry Points

Goal Route Method
Build a network graph POST /api/graph/build REST API
Get graph data GET /api/graph/:id REST API
Run graph algorithms POST /api/graph/:id/analyze REST API
Export graph GET /api/graph/:id/export REST API
Visualize graph GET /api/graph/:id/visualize REST API

API Usage

Build a network graph

bash
POST /api/graph/build
Authorization: Bearer <token>
Content-Type: application/json

{
  "username": "nichxbt",
  "depth": 1,          // 1 = direct followers, 2 = followers of followers
  "maxNodes": 500      // Limit graph size
}

Run graph algorithms

bash
POST /api/graph/:id/analyze
Authorization: Bearer <token>
Content-Type: application/json

{
  "algorithm": "pagerank"  // "pagerank" | "betweenness" | "community" | "influencers"
}

Available Algorithms

Algorithm Description
pagerank Rank nodes by influence (like Google's PageRank)
betweenness Find bridge accounts connecting different clusters
community Detect communities/clusters within the network
influencers Identify top influencers by degree centrality

Use Cases

Goal Approach
Find bridge accounts for cross-audience reach algorithm: "betweenness"
Identify communities in your follower base algorithm: "community"
Find most influential followers algorithm: "influencers"
Rank followers by network influence algorithm: "pagerank"

Notes

  • Graph building is async and may take several minutes for large networks
  • depth: 2 creates much larger graphs — use maxNodes to limit
  • Export formats: JSON (node/edge list), GraphML, CSV
  • Visualization returns an interactive D3.js-powered HTML page

Related Skills

  • analytics-insights — Analyze your own engagement metrics
  • audience-demographics — Understand follower demographics
  • competitor-intelligence — Analyze competitor audiences
  • crm-management — Manage individual relationships within the graph

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