How do I install the Tigergraph skill?

Run npx skillmds@latest add bytesagain/tigergraph in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Tigergraph safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Tigergraph?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Tigergraph free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Tigergraph?

bytesagain (@bytesagain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Tigergraph by bytesagain — Agent Skill

Name: Tigergraph
Rating: 4.5 (4 reviews)
Author: bytesagain

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.

bytesagain Updated Sep 9, 2026 12 repo stars

File contents

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/

Frequently asked questions