Admin
grafana/skills
Manage Grafana Cloud accounts — organizations, stacks, RBAC roles and assignments, SSO/SAML/OAuth/GitHub auth, service accounts for CI/CD, user invites, team membership, and API-driven provisioning.
Provisions and manages Neo4j Aura instances via CLI (aura-cli v1.7+) or REST API.
$ npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-aura-provisioning-skill --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/neo4j-aura-provisioning-skill .claude/skills/neo4j-aura-provisioning-skill && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "neo4j-aura-provisioning-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-aura-provisioning-skill into .claude/skills/neo4j-aura-provisioning-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-aura-provisioning-skill", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-aura-provisioning-skillType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-aura-provisioning-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/neo4j-aura-provisioning-skill .agents/skills/neo4j-aura-provisioning-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "neo4j-aura-provisioning-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-aura-provisioning-skill into .agents/skills/neo4j-aura-provisioning-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-aura-provisioning-skill", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-aura-provisioning-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/neo4j-aura-provisioning-skill .cursor/skills/neo4j-aura-provisioning-skill && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "neo4j-aura-provisioning-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-aura-provisioning-skill into .cursor/skills/neo4j-aura-provisioning-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-aura-provisioning-skill", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/neo4j-contrib/neo4j-skills.git --path neo4j-aura-provisioning-skill--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-aura-provisioning-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/neo4j-aura-provisioning-skill .gemini/skills/neo4j-aura-provisioning-skill && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "neo4j-aura-provisioning-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-aura-provisioning-skill into .gemini/skills/neo4j-aura-provisioning-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-aura-provisioning-skill", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-aura-provisioning-skillInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/neo4j-aura-provisioning-skill .github/skills/neo4j-aura-provisioning-skill && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "neo4j-aura-provisioning-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-aura-provisioning-skill into .github/skills/neo4j-aura-provisioning-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-aura-provisioning-skill", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-aura-provisioning-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/neo4j-aura-provisioning-skill .opencode/skills/neo4j-aura-provisioning-skill && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "neo4j-aura-provisioning-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-aura-provisioning-skill into .opencode/skills/neo4j-aura-provisioning-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-aura-provisioning-skill", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
neo4j-aura-provisioning-skillProvisions and manages Neo4j Aura instances via CLI (aura-cli v1.7+) or REST API.
Neo4j Aura Provisioning Skill is an agent skill from neo4j-contrib/neo4j-skills. Provisions and manages Neo4j Aura instances via CLI (aura-cli v1.7+) or REST API. Use when creating, pausing, resuming, resizing, or deleting AuraDB Free/Professional/Business Critical/VDC instances; downloading credentials; scripting CI/CD pipelines; polling async status; or using the Terraform neo4j-labs/neo4jaura provider. Covers auth setup (client credentials OAuth2), credential lifecycle (download once — never recoverable), instance type selection, region codes, and Python provisioning scripts. Does NOT…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `README.md`, `references/aura-agent.md` and `references/aura-monitoring.md`).
It sits in DevOps & Cloud, covering REST APIs, Infrastructure as code and OAuth and OpenID Connect. It works with Neo4j, Python and Terraform. The repository describes itself as: Neo4j Skills for Coding and other Agents including Cypher. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit bb30e1f. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashWebFetchFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
jqcurlterraformFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.neo4j.ioneo4j.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AURA_CLIENT_SECRETCLIENT_SECRETNEO4J_PASSWORDFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Neo4j Aura Provisioning Skill loads about 3.7k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 191 tokens; SKILL.md has 833 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
sudo mv aura-cli /usr/local/bin/# Extract for .env## Step 4 — Write .env and Verifycat > .env <<EOF# Ensure .env never committed^\.env$' .gitignore 2>/dev/null || echo '.env' >> .gitignore- Write initial credentials to `.env`; verify `.env` in `.gitignore` before proceeding- If `.env` absent: `python-dotenv` `load_dotenv()` auto-loads; do NOT prompt user unless loading fails- [ ] `.env` created with URI/user/password; `.env` in `.gitignore`allowed-tools: Bash, WebFetchAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from neo4j-contrib/neo4j-skills at commit bb30e1f, republished under its MIT licence (© neo4j-contrib). 833 words, ~3,746 tokens.
.claude/skills/neo4j-aura-provisioning-skill/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.creating → runningneo4j-cypher-skillneo4j-gds-skill (Pro with plugin) or neo4j-aura-graph-analytics-skill (serverless)neo4j-cli-tools-skill| Tier | API type code | Memory | GDS | Replicas | Use when |
|---|---|---|---|---|---|
| AuraDB Free | free-db | 1 GB | ❌ | ❌ | Dev/demo; ≤200k nodes/400k rels |
| AuraDB Professional | professional-db | 2–64 GB | plugin available | ❌ | Production workloads |
| AuraDB Business Critical | business-critical | 4–384 GB | plugin available | ✅ | HA, multi-AZ, SLA |
| AuraDB VDC | enterprise-db | custom | ✅ | ✅ | Dedicated infra, compliance |
| AuraDS Professional | professional-ds | 2–64 GB | ✅ built-in | ❌ | Data science / GDS |
| AuraDS Enterprise | enterprise-ds | custom | ✅ | ✅ | Enterprise GDS |
AuraDB Free limits: 200k nodes, 400k rels; auto-pauses after 72 h inactivity; deleted if paused >30 days; no resize.
Install (binary, not pip):
# macOS
curl -L https://github.com/neo4j/aura-cli/releases/latest/download/aura-cli-darwin-amd64.tar.gz | tar xz
sudo mv aura-cli /usr/local/bin/
aura-cli -v # verifyAdd credentials (from console.neo4j.io → Account Settings → API Credentials):
aura-cli credential add \
--name "my-creds" \
--client-id "$AURA_CLIENT_ID" \
--client-secret "$AURA_CLIENT_SECRET"
aura-cli credential use --name "my-creds"Verify:
aura-cli instance list --output tableToken endpoint: POST https://api.neo4j.io/oauth/token
Token expires: 3600 s (1 h). On 403 → refresh token.
TOKEN=$(curl -s --request POST 'https://api.neo4j.io/oauth/token' \
--user "${AURA_CLIENT_ID}:${AURA_CLIENT_SECRET}" \
--header 'Content-Type: application/x-www-form-urlencoded' \
--data-urlencode 'grant_type=client_credentials' \
| jq -r '.access_token')
echo "Token: ${TOKEN:0:20}..."Use in all subsequent calls: --header "Authorization: Bearer $TOKEN"
CLI:
aura-cli tenants list --output table
# Copy TENANT_ID for create operationsREST:
curl -s https://api.neo4j.io/v1/tenants \
-H "Authorization: Bearer $TOKEN" | jq '.data[] | {id, name}'CRITICAL: Capture output immediately. Initial password shown ONCE — never retrievable again.
If lost: delete and recreate. Store aura-creds.json before doing anything else.
aura-cli instance create \
--name "my-instance" \
--cloud-provider gcp \
--region europe-west1 \
--type professional-db \
--tenant-id "$TENANT_ID" \
--output json | tee aura-creds.json
# Extract for .env
INSTANCE_ID=$(jq -r '.id' aura-creds.json)
PASSWORD=$(jq -r '.password' aura-creds.json)RESPONSE=$(curl -s -X POST https://api.neo4j.io/v1/instances \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"name": "my-instance",
"cloud_provider": "gcp",
"region": "europe-west1",
"type": "professional-db",
"tenant_id": "'"$TENANT_ID"'",
"memory": "4GB",
"version": "5"
}')
echo "$RESPONSE" | tee aura-creds.json
INSTANCE_ID=$(echo "$RESPONSE" | jq -r '.data.id')
PASSWORD=$(echo "$RESPONSE" | jq -r '.data.password')Instance create request body fields:
| Field | Required | Values |
|---|---|---|
name | ✅ | any string |
cloud_provider | ✅ | gcp aws azure |
region | ✅ | see region table |
type | ✅ | see tier table |
tenant_id | ✅ | from tenant list |
memory | ✗ | 1GB 2GB 4GB 8GB … 384GB |
version | ✗ | 5 (default) |
ALL lifecycle operations (create, pause, resume, resize) are async. Do NOT attempt connection or next operation until status = running (or paused for pause op).
poll_status() {
local INSTANCE_ID=$1 TARGET=$2 MAX_WAIT=${3:-600}
local ELAPSED=0 STATUS
echo "Polling for status=$TARGET (max ${MAX_WAIT}s)..."
while [ $ELAPSED -lt $MAX_WAIT ]; do
STATUS=$(aura-cli instance get --instance-id "$INSTANCE_ID" --output json \
| jq -r '.status' 2>/dev/null)
echo " [${ELAPSED}s] status=$STATUS"
[ "$STATUS" = "$TARGET" ] && echo "Ready." && return 0
[ "$STATUS" = "destroying" ] && echo "ERROR: instance is being destroyed" && return 1
sleep 10; ELAPSED=$((ELAPSED + 10))
done
echo "TIMEOUT after ${MAX_WAIT}s — last status: $STATUS" && return 1
}
poll_status "$INSTANCE_ID" "running" 600REST equivalent:
while true; do
STATUS=$(curl -s "https://api.neo4j.io/v1/instances/$INSTANCE_ID" \
-H "Authorization: Bearer $TOKEN" | jq -r '.data.status')
[ "$STATUS" = "running" ] && break
sleep 10
doneStatus lifecycle:
creating → running → pausing → paused → resuming → running
↘ destroying → (gone)CONNECTION_URI="neo4j+s://${INSTANCE_ID}.databases.neo4j.io"
cat > .env <<EOF
NEO4J_URI=${CONNECTION_URI}
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=${PASSWORD}
NEO4J_DATABASE=neo4j
AURA_INSTANCE_ID=${INSTANCE_ID}
EOF
# Ensure .env never committed
grep -q '^\.env$' .gitignore 2>/dev/null || echo '.env' >> .gitignore
# Verify connectivity
cypher-shell -a "$CONNECTION_URI" -u neo4j -p "$PASSWORD" "RETURN 'connected' AS status"All operations require instance in the correct state. Wrong-state ops return 4xx error.
Required state: running
aura-cli instance pause --instance-id "$INSTANCE_ID"
poll_status "$INSTANCE_ID" "paused" 600Required state: paused
aura-cli instance resume --instance-id "$INSTANCE_ID"
poll_status "$INSTANCE_ID" "running" 900 # resume can take longerRequired state: running; instance remains available during resize.
# REST only — CLI resize not available in v1.7
curl -s -X PATCH "https://api.neo4j.io/v1/instances/$INSTANCE_ID" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"memory": "8GB"}'
poll_status "$INSTANCE_ID" "running" 600
# Cannot reduce below current usage levelIRREVERSIBLE. Export snapshots first if data needed.
aura-cli instance delete --instance-id "$INSTANCE_ID"
# No poll needed — immediateREST:
curl -s -X DELETE "https://api.neo4j.io/v1/instances/$INSTANCE_ID" \
-H "Authorization: Bearer $TOKEN"import os, time, requests
CLIENT_ID = os.environ["AURA_CLIENT_ID"]
CLIENT_SECRET = os.environ["AURA_CLIENT_SECRET"]
BASE = "https://api.neo4j.io/v1"
def get_token() -> str:
r = requests.post(
"https://api.neo4j.io/oauth/token",
auth=(CLIENT_ID, CLIENT_SECRET),
data={"grant_type": "client_credentials"},
)
r.raise_for_status()
return r.json()["access_token"]
def auth_headers(token: str) -> dict:
return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
def create_instance(token: str, tenant_id: str, **kwargs) -> dict:
payload = {"tenant_id": tenant_id, "version": "5", **kwargs}
r = requests.post(f"{BASE}/instances", headers=auth_headers(token), json=payload)
r.raise_for_status()
return r.json()["data"] # contains id, password, connection_url
def poll_status(token: str, instance_id: str, target: str, timeout: int = 600) -> None:
deadline = time.time() + timeout
while time.time() < deadline:
r = requests.get(f"{BASE}/instances/{instance_id}", headers=auth_headers(token))
r.raise_for_status()
status = r.json()["data"]["status"]
print(f" status={status}")
if status == target:
return
if status == "destroying":
raise RuntimeError("Instance destroyed unexpectedly")
time.sleep(10)
raise TimeoutError(f"Instance {instance_id} did not reach '{target}' in {timeout}s")
# --- usage ---
token = get_token()
instance = create_instance(
token,
tenant_id = os.environ["AURA_TENANT_ID"],
name = "ci-test-instance",
cloud_provider = "aws",
region = "us-east-1",
type = "professional-db",
memory = "2GB",
)
# SAVE CREDENTIALS IMMEDIATELY — password never retrievable again
print(f"ID: {instance['id']}")
print(f"URI: neo4j+s://{instance['id']}.databases.neo4j.io")
print(f"Password: {instance['password']}") # log to secure vault NOW
poll_status(token, instance["id"], "running", timeout=600)
print("Instance ready.")| Region code | Location |
|---|---|
us-east-1 | N. Virginia |
us-east-2 | Ohio |
us-west-2 | Oregon |
eu-west-1 | Ireland |
eu-west-3 | Paris |
eu-central-1 | Frankfurt |
ap-southeast-1 | Singapore |
ap-southeast-2 | Sydney |
ap-south-1 | Mumbai |
sa-east-1 | São Paulo |
| Region code | Location |
|---|---|
europe-west1 | Belgium |
europe-west3 | Frankfurt |
europe-west4 | Netherlands |
us-central1 | Iowa |
us-east1 | S. Carolina |
us-east4 | N. Virginia |
asia-east1 | Taiwan |
asia-northeast1 | Tokyo |
asia-southeast1 | Singapore |
australia-southeast1 | Sydney |
| Region code | Location |
|---|---|
eastus | E. US |
eastus2 | E. US 2 |
westeurope | Netherlands |
northeurope | Ireland |
uksouth | London |
southeastasia | Singapore |
brazilsouth | Brazil |
koreacentral | Korea |
Enterprise tiers (Business Critical, VDC) add 20+ additional regions per provider. Check console for full list. Free tier: GCP only; limited subset of regions.
terraform {
required_providers {
neo4jaura = {
source = "neo4j-labs/neo4jaura"
}
}
}
provider "neo4jaura" {
client_id = var.aura_client_id # or AURA_CLIENT_ID env var
client_secret = var.aura_client_secret # or AURA_CLIENT_SECRET env var
}
resource "neo4jaura_instance" "db" {
name = "prod-db"
type = "professional-db"
cloud_provider = "gcp"
region = "europe-west1"
memory = "4GB"
project_id = var.aura_project_id # Terraform uses project_id (REST API: tenant_id)
}
output "neo4j_uri" {
value = neo4jaura_instance.db.connection_url
sensitive = false
}
output "neo4j_password" {
value = neo4jaura_instance.db.password
sensitive = true
}After terraform apply: poll status before marking infra ready — Terraform resource creation returns when API call completes, not when DB is running.
| Error | Cause | Fix |
|---|---|---|
403 Forbidden after working | Token expired (1 h TTL) | Re-run get_token() |
409 Conflict on create | Name already exists in tenant | Change name or delete existing |
422 on pause | Instance not running | Check status; wait for ongoing op to finish |
422 on resume | Instance not paused | Check status |
422 on resize | Below current usage | Reduce data first; can't shrink below usage |
| Region not found | Tier doesn't support that region | Use Free tier on GCP only; Pro/BC on all 3 clouds |
| Credentials lost after create | Password only returned at create time | Delete + recreate — no reset exists |
429 Too Many Requests | Rate limit hit (25 req/min Free, 125 req/min Pro+) | Add time.sleep(2) between polling calls |
instance list returns empty | Wrong credential active | aura-cli credential use --name <name> |
| Tier | Requests/minute |
|---|---|
| Free / Pro Trial (no billing) | 25 |
| Pro with billing, BC, VDC | 125 |
Poll interval: ≥10 s to stay within limits on Free; 5 s safe on Pro+.
On Retry-After header in 5xx response: wait that many seconds before retry.
.env; verify .env in .gitignore before proceedingPASSWORD in CI logs — write to secrets vault (AWS Secrets Manager, GitHub secret, Vault)from_env() / os.environ — never hardcode credentials.env absent: python-dotenv load_dotenv() auto-loads; do NOT prompt user unless loading fails| Need | URL |
|---|---|
| REST API spec (OpenAPI) | https://neo4j.com/docs/aura/platform/api/specification/ |
| CLI reference | https://neo4j.com/docs/aura/aura-cli/ |
| Region list | https://neo4j.com/docs/aura/managing-instances/regions/ |
| Auth details | https://neo4j.com/docs/aura/api/authentication/ |
| Instance actions | https://neo4j.com/docs/aura/managing-instances/instance-actions/ |
.env created with URI/user/password; .env in .gitignorepoll_status called after create — do NOT connect before status = runningpoll_status called after pause/resume© neo4j-contrib, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in neo4j-aura-provisioning-skill of neo4j-contrib/neo4j-skills.
Open the folder on GitHubat commit bb30e1f
Neo4j Aura Provisioning Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Neo4j Aura Provisioning Skill this skillneo4j-contrib/neo4j-skills | 114 | — | ~3.7k | Automated safety check: Notes | MIT | |
| Admingrafana/skills | 282 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Devops Deploysickn33/agentic-awesome-skills | 47k | 2 repos | ~1.9k | Automated safety check: Pass | MIT | |
| AWS GitHub Oidc Scoped Rolemizchi/skills | 360 | — | ~1.6k | Automated safety check: Pass | None | |
| Sca TrivyAgentSecOps/SecOpsAgentKit | 220 | 2 repos | ~3.7k | Automated safety check: Pass | Custom licence | |
| Google Cloud Storage Bucket Architectgoogle/skills | 21k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 |
grafana/skills
Manage Grafana Cloud accounts — organizations, stacks, RBAC roles and assignments, SSO/SAML/OAuth/GitHub auth, service accounts for CI/CD, user invites, team membership, and API-driven provisioning.
sickn33/agentic-awesome-skills
DevOps e deploy de aplicacoes — Docker, CI/CD com GitHub Actions, AWS Lambda, SAM, Terraform, infraestrutura como codigo e monitoramento.
mizchi/skills
OpenTofu/Terraform pattern for GitHub Actions OIDC trust with AWS IAM.
AgentSecOps/SecOpsAgentKit
Software Composition Analysis (SCA) and container vulnerability scanning using Aqua Trivy for identifying CVE vulnerabilities in dependencies, container images, IaC misconfigurations, and license…
google/skills
Creates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets.
DataDog/terraform-provider-datadog
Generates a Datadog Terraform provider data source from an OpenAPI operation with tfgen and opens a review-ready GitHub PR with a risk scan and testing guide.
neo4j-contrib/neo4j-skills
Manages Neo4j Aura Agents via the v2beta1 REST API — create, list, get, update, delete, and invoke Aura agents backed by an AuraDB instance.
neo4j-contrib/neo4j-skills
Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x.
neo4j-contrib/neo4j-skills
Serverless Aura Graph Analytics (AGA) GDS Sessions — covers GdsSessions, AuraGraphDataScience, AuraAPICredentials, DbmsConnectionInfo, SessionMemory, getorcreate, remote graph projection with…
neo4j-contrib/neo4j-skills
Orchestrates zero-to-running-app in 8 stages — prerequisites → context → provision → model → load → explore → query → build.
neo4j-contrib/neo4j-skills
Neo4j .NET Driver v6 — IDriver lifecycle, DI registration (singleton), ExecutableQuery fluent API, ExecuteReadAsync/ExecuteWriteAsync managed transactions, IResultCursor (FetchAsync/ ToListAsync)…
neo4j-contrib/neo4j-skills
Covers the Neo4j Go Driver v6 — driver lifecycle, ExecuteQuery, managed and explicit transactions, session config, error handling, data type mapping, and connection tuning.
Categories
Provisions and manages Neo4j Aura instances via CLI (aura-cli v1.7+) or REST API. Neo4j Aura Provisioning Skill is an agent skill from neo4j-contrib/neo4j-skills.7+) or REST API.
Neo4j Aura Provisioning Skill fits situations like: deleting AuraDB Free/Professional/Business Critical/VDC instances; downloading credentials; scripting CI/CD pipelines; polling async status.
Run `npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a claude-code`. Or copy the skill folder (neo4j-aura-provisioning-skill in neo4j-contrib/neo4j-skills) into .claude/skills/neo4j-aura-provisioning-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a codex`. Or copy the skill folder (neo4j-aura-provisioning-skill in neo4j-contrib/neo4j-skills) into .agents/skills/neo4j-aura-provisioning-skill in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add neo4j-contrib/neo4j-skills --skill neo4j-aura-provisioning-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/neo4j-aura-provisioning-skill, .gemini/skills/neo4j-aura-provisioning-skill, .github/skills/neo4j-aura-provisioning-skill and .opencode/skills/neo4j-aura-provisioning-skill in your project.
Going by SKILL.md and its folder, Neo4j Aura Provisioning Skill needs the command-line tools its instructions call (jq, curl and terraform) and credentials named AURA_CLIENT_SECRET, CLIENT_SECRET and NEO4J_PASSWORD. Our summary lists: Python 3; A credential in AURA_CLIENT_SECRET; A credential in CLIENT_SECRET. Its frontmatter pre-approves these tools: Bash, WebFetch.
SKILL.md names 3 domains. In commands or code: api.neo4j.io, neo4j.com and github.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo; mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Neo4j Aura Provisioning Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Neo4j Aura Provisioning Skill: Admin (grafana/skills, 282 stars), Devops Deploy (sickn33/agentic-awesome-skills, 47k stars), AWS GitHub Oidc Scoped Role (mizchi/skills, 360 stars) and Sca Trivy (AgentSecOps/SecOpsAgentKit, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
neo4j-contrib (a GitHub organization) maintains it in neo4j-contrib/neo4j-skills, which has 114 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 9, 2026.
Source: neo4j-contrib/neo4j-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.