supabase-data-handling
SKILL.md
Supabase Data Handling
Overview
Handle sensitive data correctly when integrating with Supabase.
Prerequisites
- Understanding of GDPR/CCPA requirements
- Supabase SDK with data export capabilities
- Database for audit logging
- Scheduled job infrastructure for cleanup
Data Classification
| Category | Examples | Handling |
|---|---|---|
| PII | Email, name, phone | Encrypt, minimize |
| Sensitive | API keys, tokens | Never log, rotate |
| Business | Usage metrics | Aggregate when possible |
| Public | Product names | Standard handling |
PII Detection
Scan request and response payloads for PII patterns (emails, phone numbers, SSNs) before logging or storing data.
Instructions
- Assess the current state of the compliance configuration
- Identify the specific requirements and constraints
- Apply the recommended patterns from this skill
- Validate the changes against expected behavior
- Document the configuration for team reference
Output
- Configuration files or code changes applied to the project
- Validation report confirming correct implementation
- Summary of changes made and their rationale
See compliance implementation details for output format specifications.
Error Handling
| Error | Cause | Resolution |
|---|---|---|
| Authentication failure | Invalid or expired credentials | Refresh tokens or re-authenticate with compliance |
| Configuration conflict | Incompatible settings detected | Review and resolve conflicting parameters |
| Resource not found | Referenced resource missing | Verify resource exists and permissions are correct |
Examples
Basic usage: Apply supabase data handling to a standard project setup with default configuration options.
Advanced scenario: Customize supabase data handling for production environments with multiple constraints and team-specific requirements.
Resources
- Official compliance documentation
- Community best practices and patterns
- Related skills in this plugin pack
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jeremylongshore…s-skillsGitHub Stars
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Jan 24, 2026
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