# Tigergraph

> Distributed graph analytics platform with GSQL query language. Use when running fraud detection on transaction networks, analyzing supply chain dependencies, building customer 360 views, computing PageRank on billion-edge graphs, or querying deep multi-hop relationships in real time.

- Skill: `bytesagain/tigergraph` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add bytesagain/tigergraph`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bytesagain/tigergraph/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: bytesagain (https://skillmd.com/u/bytesagain)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/bytesagain/tigergraph

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# TigerGraph Reference

Distributed graph analytics platform for real-time deep-link analysis on massive datasets. TigerGraph uses GSQL, a SQL-like graph query language designed for parallel traversal across 100+ billion edges with sub-second response times.

## When to Use

- Fraud detection: identify suspicious transaction rings and money laundering patterns
- Supply chain: trace multi-hop dependencies and find bottleneck nodes
- Customer 360: merge entity data across multiple sources into a unified graph
- Recommendation engines: collaborative filtering at scale using graph traversal
- Network analytics: map telecom or IT infrastructure relationships
- Knowledge graphs: build and query enterprise knowledge bases

## Commands

| Command | Description |
|---------|-------------|
| `intro` | Architecture overview, TigerGraph vs Neo4j comparison, use cases, installation |
| `gsql` | GSQL schema definition, data loading jobs, queries (ad-hoc and installed), PageRank implementation |
| `api` | REST API endpoints for vertices/edges/queries, pyTigerGraph Python SDK, GraphStudio visual IDE |

## Requirements

- No external dependencies — outputs reference documentation only
- No API keys required
- No network access needed

## Feedback

https://bytesagain.com/feedback/