snowflake-install-auth
Install and configure Snowflake driver authentication for Node.js and Python. Use when setting up snowflake-sdk, snowflake-connector-python, key pair auth, OAuth, or SSO browser authentication. Trigger with phrases like "install snowflake", "setup snowflake", "snowflake auth", "snowflake connection", "snowflake key pair".
What this skill does
# Snowflake Install & Auth
## Overview
Set up Snowflake drivers and configure authentication for Node.js (`snowflake-sdk`) and Python (`snowflake-connector-python`).
## Prerequisites
- Node.js 18+ or Python 3.9+
- Snowflake account (format: `<orgname>-<account_name>` or legacy `<account_locator>.<region>`)
- User with appropriate role granted
## Instructions
### Step 1: Install the Driver
```bash
# Node.js — official driver from snowflakedb
npm install snowflake-sdk
# Python — official connector
pip install snowflake-connector-python
# Python with pandas support
pip install "snowflake-connector-python[pandas]"
```
### Step 2: Choose an Authentication Method
| Method | Use Case | Env Vars Needed |
|--------|----------|-----------------|
| Password | Quick dev setup | `SNOWFLAKE_ACCOUNT`, `SNOWFLAKE_USER`, `SNOWFLAKE_PASSWORD` |
| Key Pair | CI/CD, service accounts | `SNOWFLAKE_ACCOUNT`, `SNOWFLAKE_USER`, `SNOWFLAKE_PRIVATE_KEY_PATH` |
| External Browser SSO | Interactive dev | `SNOWFLAKE_ACCOUNT`, `SNOWFLAKE_USER` |
| OAuth | Enterprise SSO integration | `SNOWFLAKE_ACCOUNT`, `SNOWFLAKE_OAUTH_TOKEN` |
### Step 3a: Password Authentication
```typescript
// src/snowflake/client.ts
import snowflake from 'snowflake-sdk';
const connection = snowflake.createConnection({
account: process.env.SNOWFLAKE_ACCOUNT!, // e.g. 'myorg-myaccount'
username: process.env.SNOWFLAKE_USER!,
password: process.env.SNOWFLAKE_PASSWORD!,
warehouse: process.env.SNOWFLAKE_WAREHOUSE || 'COMPUTE_WH',
database: process.env.SNOWFLAKE_DATABASE,
schema: process.env.SNOWFLAKE_SCHEMA || 'PUBLIC',
role: process.env.SNOWFLAKE_ROLE || 'PUBLIC',
});
connection.connect((err, conn) => {
if (err) {
console.error('Unable to connect:', err.message);
return;
}
console.log('Connected as id:', conn.getId());
});
```
```python
# src/snowflake_client.py
import snowflake.connector
import os
conn = snowflake.connector.connect(
account=os.environ['SNOWFLAKE_ACCOUNT'],
user=os.environ['SNOWFLAKE_USER'],
password=os.environ['SNOWFLAKE_PASSWORD'],
warehouse=os.environ.get('SNOWFLAKE_WAREHOUSE', 'COMPUTE_WH'),
database=os.environ.get('SNOWFLAKE_DATABASE'),
schema=os.environ.get('SNOWFLAKE_SCHEMA', 'PUBLIC'),
role=os.environ.get('SNOWFLAKE_ROLE', 'PUBLIC'),
)
print(f"Connected: {conn.get_query_id()}")
```
### Step 3b: Key Pair Authentication (Recommended for Automation)
```bash
# Generate 2048-bit RSA key pair
openssl genrsa 2048 | openssl pkcs8 -topk8 -inform PEM -out rsa_key.p8 -nocrypt
openssl rsa -in rsa_key.p8 -pubout -out rsa_key.pub
# Assign public key to Snowflake user
# Run in Snowflake worksheet:
# ALTER USER my_service_user SET RSA_PUBLIC_KEY='MIIBIj...';
```
```typescript
import snowflake from 'snowflake-sdk';
import fs from 'fs';
import path from 'path';
const privateKey = fs.readFileSync(
path.resolve(process.env.SNOWFLAKE_PRIVATE_KEY_PATH!),
'utf-8'
);
const connection = snowflake.createConnection({
account: process.env.SNOWFLAKE_ACCOUNT!,
username: process.env.SNOWFLAKE_USER!,
authenticator: 'SNOWFLAKE_JWT',
privateKey: privateKey,
warehouse: 'COMPUTE_WH',
database: 'MY_DB',
schema: 'PUBLIC',
});
```
```python
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.backends import default_backend
with open(os.environ['SNOWFLAKE_PRIVATE_KEY_PATH'], 'rb') as key_file:
private_key = serialization.load_pem_private_key(
key_file.read(), password=None, backend=default_backend()
)
conn = snowflake.connector.connect(
account=os.environ['SNOWFLAKE_ACCOUNT'],
user=os.environ['SNOWFLAKE_USER'],
private_key=private_key,
warehouse='COMPUTE_WH',
database='MY_DB',
schema='PUBLIC',
)
```
### Step 3c: External Browser SSO
```typescript
const connection = snowflake.createConnection({
account: process.env.SNOWFLAKE_ACCOUNT!,
username: process.env.SNOWFLAKE_USER!,
authenticator: 'EXTERNALBROWSER',
warehouse: 'COMPUTE_WH',
});
// Opens browser for IdP login, returns token to driver
```
### Step 4: Configure Environment
```bash
# .env (NEVER commit — add to .gitignore)
SNOWFLAKE_ACCOUNT=myorg-myaccount
SNOWFLAKE_USER=my_user
SNOWFLAKE_PASSWORD=my_password
SNOWFLAKE_WAREHOUSE=COMPUTE_WH
SNOWFLAKE_DATABASE=MY_DB
SNOWFLAKE_SCHEMA=PUBLIC
SNOWFLAKE_ROLE=SYSADMIN
SNOWFLAKE_PRIVATE_KEY_PATH=./rsa_key.p8
# .gitignore additions
.env
.env.local
rsa_key.p8
rsa_key.pub
```
### Step 5: Verify Connection
```typescript
connection.connect((err, conn) => {
if (err) { console.error(err.message); return; }
conn.execute({
sqlText: 'SELECT CURRENT_WAREHOUSE(), CURRENT_DATABASE(), CURRENT_ROLE()',
complete: (err, stmt, rows) => {
if (err) { console.error(err.message); return; }
console.log('Context:', rows?.[0]);
},
});
});
```
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| `390100: Incorrect username or password` | Bad credentials | Verify user/password in Snowflake console |
| `390144: JWT token is invalid` | Wrong private key or expired | Regenerate key pair, re-assign public key |
| `390429: IP ... is not allowed to access Snowflake` | Network policy blocking | Add IP to network policy allowlist |
| `ECONNREFUSED` / `ENOTFOUND` | Wrong account identifier | Use format `orgname-accountname` (not URL) |
| `Could not connect to Snowflake backend` | Firewall or proxy | Allow outbound HTTPS to `*.snowflakecomputing.com` |
## Resources
- [Node.js Driver Docs](https://docs.snowflake.com/en/developer-guide/node-js/nodejs-driver)
- [Python Connector Docs](https://docs.snowflake.com/en/developer-guide/python-connector/python-connector)
- [Key Pair Auth](https://docs.snowflake.com/en/user-guide/key-pair-auth)
- [Authentication Overview](https://docs.snowflake.com/en/user-guide/security-authentication-overview)
## Next Steps
After successful auth, proceed to `snowflake-hello-world` for your first query.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.