Skill UI

This skill implements robust data privacy controls for interactions with OpenRouter APIs. It automatically detects and redacts Personally Identifiable Information (PII)—such as emails, SSNs, credit cards, and API keys—from prompts. It ensures compliance with privacy regulations like GDPR and CCPA, allowing developers to safely process sensitive data when using various upstream LLM providers.

This guide provides comprehensive strategies for implementing privacy-safe analytics using PostHog. It addresses critical compliance requirements like GDPR and CCPA, covering explicit consent management (opt-in/opt-out), real-time property sanitization (stripping PII like IP or tokens), and methods for handling Data Subject Access Requests (SAR) and the Right to Erasure. Use this to build highly compliant and privacy-preserving analytics pipelines.

Automatically scans code and configs using the data-privacy-scanner plugin to flag sensitive data exposure and compliance violations for privacy audits.

This skill provides a comprehensive guide for securely handling student audio data, assessment records, and learning progress within the Speak platform. It focuses on implementing robust data pipelines while ensuring compliance with international privacy regulations such as GDPR and COPPA. Essential for developers integrating or maintaining language learning applications.

This guide outlines essential security best practices for integrating the Speak API. It covers critical areas like securing API keys using secrets managers, ensuring audio data privacy by deleting local files, and maintaining compliance with major regulations such as COPPA and FERPA. Use this knowledge when building production-ready, secure language learning applications.

Implement comprehensive GDPR and CCPA compliance measures within Supabase. This skill guides developers on setting up Row Level Security (RLS) for tenant isolation, managing PII columns, executing right-to-deletion workflows, auditing sensitive data, and establishing automated data retention policies. Essential for any SaaS application handling regulated user data.

This skill outlines security best practices for the TwinMind AI meeting assistant. It covers crucial aspects like on-device audio processing, encrypted cloud backups, and managing microphone permissions. Use it when setting up new TwinMind instances or managing AI operations to ensure data privacy, compliance, and robust security for sensitive meeting data.

A comprehensive guide for developers on handling sensitive data and ensuring compliance with major privacy regulations like GDPR and CCPA when deploying serverless functions on Vercel. Learn techniques for PII redaction in logs, implementing data subject rights (Right to Access/Erasure), securing session cookies, and configuring data residency to meet global privacy standards.

This skill provides comprehensive configuration for Windsurf deployments, managing data transmission controls, retention policies, and regional compliance settings. It ensures adherence to global privacy standards, such as GDPR, by handling data governance and defining code exclusion patterns.

This comprehensive guide details how to control and audit the scope of code and data accessible by AI tools (like Codeium or Windsurf AI). Learn to implement robust data exclusion patterns, set compliance boundaries (e.g., HIPAA, GDPR), and configure secure deployment modes, ensuring sensitive data and secrets are never processed or retained by the AI model.

An expert guide for deploying and optimizing Large Language Models (LLMs) entirely on local hardware. Mastering the entire local AI ecosystem, including inference engines like Ollama, vLLM, and llama.cpp. Provides deep knowledge on quantization formats (GGUF, EXL2, AWQ), VRAM calculation, and ensuring privacy-first, offline deployment for state-of-the-art models.

A comprehensive guide to integrating privacy protections into software architecture from the ground up. This skill ensures compliance with major global regulations like GDPR, CCPA, and LGPD by implementing core principles such as data minimization, purpose limitation, and default privacy settings. Essential for developers building any application that handles personal user data.