Loading...
Loading...
Found 19 Skills
Use when deploying to production, handling sensitive data, or the workflow needs safety constraints, input validation, and security boundaries.
Privacy-by-design analytics setup for clients operating under Uganda's Data Protection and Privacy Act 2019, Kenya's Data Protection Act 2019, and international frameworks (GDPR, CCPA). Covers cookie consent implementation, GA4 privacy configuration, data minimisation, and WhatsApp data governance. Invoke when setting up GA4 for a new client, configuring cookie consent banners, advising on analytics data governance, or when a client asks about data protection compliance for their digital channels. Does not replace legal counsel — flags compliance requirements and provides implementation guidance.
Three-layer PII anonymization for session transcripts (therapy, coaching, consulting, mentoring). Runs Natasha (Russian NER), OpenAI Privacy Filter, and local LLM (Ollama) in sequence for maximum coverage. Fully local by default. This skill should be used when anonymizing session transcripts, notes, or any text containing client PII before AI analysis. Triggers on "anonymize", "redact PII", "anonymize session", "protect client data", "strip personal data", "anonymize transcript".
Analyze data privacy compliance requirements under GDPR, Taiwan's Personal Data Protection Act (PDPA), and related regulations. Use this skill when the user needs to assess data privacy obligations, design compliant data handling processes, evaluate cross-border data transfer risks, or understand data subject rights — even if they say 'do we comply with GDPR', 'can we collect this data', 'what are our privacy obligations', or 'how do we handle user data in Taiwan'.
Audits a codebase or business process for regulatory compliance across GDPR, HIPAA, SOC2, CCPA, and PCI-DSS. Scans for PII handling, data retention, encryption, access controls, audit logging, consent management, and data transfer issues. Generates a structured compliance report with findings, gap analysis, remediation steps, and evidence requirements.
Review a Data Processing Agreement against your DPA playbook — auto-detects whether you're processor or controller and applies the right half of the playbook. Use when the user says "review this DPA", "check this data processing addendum", "customer sent their DPA", "is this DPA okay", or attaches a DPA.
This skill should be used when the user asks to "scan for PHI", "detect PII", "HIPAA compliance check", "audit for protected health information", "find sensitive healthcare data", "generate HIPAA audit report", "check code for PHI leakage", "scan logs for PHI", "check authentication on PHI endpoints", "scan FHIR resources", "check HL7 messages", or mentions PHI detection, HIPAA compliance, healthcare data privacy, medical record security, logging PHI violations, authentication checks for health data, or healthcare data formats (FHIR, HL7, CDA).