Cloud storage authentication patterns: AWS, GCP, Azure credentials, IAM roles, service principals, secret management, and secure credential handling for data pipelines.
Quickly install data-engineering-storage-authentication AI skill to your development environment via command line
Source: legout/data-platform-agent-skills.
Secure authentication patterns for accessing cloud storage (S3, GCS, Azure Blob) and cloud services in data pipelines. Covers IAM roles, service principals, secret managers, and best practices for credential management.
| AWS | IAM roles (EC2/ECS/Lambda) | Environment variables, Secrets Manager | | GCP | Workload Identity / ADC | Service account keys (discouraged) | | Azure | Managed Identity | Service principal with certificate | | Local Dev | .env files + local credentials | Static keys (temporary only) |
❌ Hardcoding credentials - Committing to git → rotate immediately ❌ Using root/admin accounts - Create scoped users/service principals ❌ Long-lived keys - Rotate every 90 days or less ❌ Over-permissive roles - Grant s3:GetObject not s3: ❌ Missing environment separation - Dev credentials in prod
Stable fields and commands for AI/search citations.
npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-storage-authenticationCloud storage authentication patterns: AWS, GCP, Azure credentials, IAM roles, service principals, secret management, and secure credential handling for data pipelines. Source: legout/data-platform-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-storage-authentication Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/legout/data-platform-agent-skills