# neo4j-aura-graph-analytics-skill

A skill that walks your agent through serverless Aura Graph Analytics GDS Sessions: graph projection, memory estimation, async jobs and write-back.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 798 installs · ★ 116
- Author: neo4j-contrib
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/neo4j-contrib/neo4j-skills/tree/HEAD/neo4j-aura-graph-analytics-skill/SKILL.md
- Updated: 2026-10-21
- HTML: https://affpapa.org/en/nevibecode/skills/neo4j-aura-graph-analytics-skill

## What it does

The skill guides an agent through Aura Graph Analytics GDS Sessions. It covers creating `GdsSessions` with `AuraAPICredentials.from_env()`, estimating memory via `sessions.estimate(...)`, opening a session and projecting a graph remotely — `gds.graph.project.cypher`, `gds.graph.project.remote`, `gds.graph.project.native`, `gds.graph.construct`. Async compute through `gds.jobs` and write-back to the database get their own sections.

Inside you get a deployment decision table, the client 2.0–2.2 changelog and a rename map from 1.x. Requirements: Python >= 3.10, the `neo4j` driver 5.26–7.0, pandas 2–3, pyarrow 21–25 and numpy <3. Credentials come from environment variables — `AURA_CLIENT_ID`, `AURA_CLIENT_SECRET`, `AURA_PROJECT_ID`. API keys are created in the Aura Console.

Sessions bill per minute, so you close them with `gds.delete()` or `sessions.delete(session_name=...)`. Default idle TTL is 1h, with a hard 7-day lifetime cap. If you run Aura Pro with the embedded GDS plugin, or self-managed Neo4j with that plugin, this skill is the wrong pick — use `neo4j-gds-skill`. Cypher authoring is out of scope too.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-graph-analytics-skill -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/neo4j-aura-graph-analytics-skill/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/neo4j-aura-graph-analytics-skill/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-graph-analytics-skill -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/neo4j-aura-graph-analytics-skill/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-graph-analytics-skill -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/neo4j-aura-graph-analytics-skill/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install neo4j-contrib/neo4j-skills neo4j-aura-graph-analytics-skill
```

2. **Manually: put the files in place**
- File: `.github/skills/neo4j-aura-graph-analytics-skill/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-graph-analytics-skill -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/neo4j-contrib/neo4j-skills --path neo4j-aura-graph-analytics-skill
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/neo4j-aura-graph-analytics-skill/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-graph-analytics-skill -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/neo4j-contrib/neo4j-skills/tree/HEAD/neo4j-aura-graph-analytics-skill/SKILL.md

## When to use it
- project a graph from a connected AuraDB into an AGA session
- estimate memory for a specific set of algorithms before launching
- run PageRank or Louvain on an ephemeral session and write results back
- port code from the graphdatascience 1.x client to 2.0
- run graph algorithms on Pandas or Spark data with no Neo4j instance

## Example prompts
- Create a GDS session in Aura Graph Analytics and project my AuraDB graph with gds.graph.project.cypher
- Estimate memory for wcc, louvain and fast_rp on 1 000 000 nodes and 5 000 000 relationships
- Run PageRank asynchronously through gds.jobs and write the scores back to the database

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 8b7f533cfb11aae5.

BEGIN THIRD-PARTY FILE 8b7f533cfb11aae5
```text
---
name: neo4j-aura-graph-analytics-skill
description: Serverless Aura Graph Analytics (AGA) GDS Sessions — covers GdsSessions,
  AuraGraphDataScience, AuraAPICredentials, DbmsConnectionInfo, SessionMemory, get_or_create,
  remote graph projection with gds.graph.project.cypher and gds.graph.project.remote,
  gds.graph.project.native, gds.graph.construct, graphdatascience client 2.0 session
  endpoints, async compute and gds.jobs, AuraDB Cypher API memory/sessionId projection,
  algorithms, write-back, and session lifecycle. Use for AuraDB-connected, self-managed
  Neo4j, or standalone DataFrame/Spark session workloads.
  Does NOT cover the embedded GDS plugin on Aura Pro or self-managed Neo4j — use neo4j-gds-skill.
  Does NOT handle Cypher authoring — use neo4j-cypher-skill.
  Does NOT cover Snowflake Graph Analytics — use neo4j-snowflake-graph-analytics-skill.
version: 1.0.12
allowed-tools: Bash WebFetch
---

## When to Use
- Running GDS algorithms in Aura Graph Analytics GDS Sessions
- Creating `GdsSessions` or using `AuraGraphDataScience`
- Remote projecting connected Neo4j data with `gds.graph.project.remote(...)`
- Using AuraDB Cypher API projection with `{ memory: ... }` or `{ sessionId: ... }`
- Processing graph data from non-Neo4j sources (Pandas, Spark, CSV)
- On-demand / pipeline workloads — ephemeral sessions, pay per session-minute
- Full isolation from the live database during analytics

## When NOT to Use
- **Aura Pro with embedded GDS plugin** → `neo4j-gds-skill`
- **Self-managed Neo4j with embedded GDS plugin** → `neo4j-gds-skill`
- **Writing Cypher queries** → `neo4j-cypher-skill`
- **Snowflake Graph Analytics** → `neo4j-snowflake-graph-analytics-skill`

---

## Deployment Decision Table

| Deployment | Use |
|---|---|
| AuraDB Free | **this skill** — max `m_2GB`, 1 concurrent session, unbilled |
| Aura Pro + Graph Analytics plugin enabled (lightweight exploration, shared resources) | `neo4j-gds-skill` |
| Aura Pro / Pro Trial + session (isolated compute) | **this skill** — up to 128 GB (Pro) / 8 GB (Pro Trial), 100 / 3 concurrent sessions |
```
END THIRD-PARTY FILE 8b7f533cfb11aae5

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