nirholas/graph-analysis
skills/graph-analysis/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add nirholas/xactions graph-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 10, 2026, 2:09 AM68.1s1 file scanned
SKILL.md
- name:
- graph-analysis
- description:
- 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.
- license:
- MIT
- author:
- nichxbt
- version:
- 1.0
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
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
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: 2creates much larger graphs — usemaxNodesto 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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