Skill UI

Provides automated guidance for ab test analyzer workflows, covering SQL queries, visualization, statistical analysis, and BI validation so teams can run reliable experiments within data analytics contexts.

Automates the creation of Airflow DAGs for ETL and streaming data workflows, offering best-practice guidance, production-ready code samples, and validation against common pipeline standards.

Guides you through building Airflow operators for data pipelines with automated best practices, production-ready code/config generation, and validation for ETL, transformation, orchestration, and streaming scenarios.

A comprehensive guide for developers on building secure and robust APIs across REST, GraphQL, and WebSocket protocols. It covers essential security patterns including robust authentication (JWT, OAuth 2.0), granular authorization (RBAC), input validation to prevent injection attacks (SQLi, XSS), rate limiting, and best practices for data encryption and secure headers. Essential for developers preparing for security audits.

This skill automates the validation of AWS environments against critical industry compliance benchmarks. It performs detailed checks for CIS AWS Foundations, PCI-DSS, HIPAA, and SOC 2 standards, covering key areas like Identity and Access Management (IAM), logging, data protection, and network security. Essential for preparing for regulatory audits and maintaining continuous secure operations.

This skill provides a comprehensive checklist for performing rigorous code security reviews. It covers critical areas such as secrets management, input validation, preventing SQL injection, secure authentication (JWT, RLS), and mitigating XSS/CSRF vulnerabilities. Essential for developers building features that handle sensitive data or user input.

An expert developer specializing in secure backend coding practices, vulnerability mitigation, and robust API design. Proficient in preventing common attacks such as SQL injection, XSS, and CSRF. Covers comprehensive areas including input validation, authentication mechanisms (OAuth 2.0, MFA), database security, and implementing necessary security headers (CSP, HSTS) for building secure-by-design applications. Ideal for implementing security fixes or building new, hardened backend services.

This comprehensive framework allows users to validate and test both crypto and traditional trading strategies against extensive historical market data. It calculates essential performance metrics (Sharpe Ratio, Sortino Ratio, Max Drawdown), simulates trade execution, generates equity curves, and includes advanced parameter grid search optimization tools for robust strategy validation.

Automates guidance for setting up and optimizing BigQuery scheduled queries within GCP, offering best practices, configuration templates, and validation for production-ready data workflows.

Provides comprehensive tools for managing enriched lead data in compliance with global privacy regulations like GDPR and CCPA. This skill guides practitioners through data classification (identifying PII sensitivity), input validation, deduplication, implementing data retention metadata, and anonymizing sensitive fields for secure reporting and analytics.

This comprehensive guide details how to migrate from multiple standalone data enrichment providers (like ZoomInfo, Apollo, Clearbit) or complex custom scripts into a unified Clay pipeline. It covers auditing current data stacks, mapping disparate fields, running parallel validation tests, and configuring Clay to consolidate data sources, significantly reducing complexity and operational costs.

This comprehensive checklist guides users through validating and preparing Clay enrichment pipelines for a production launch. It covers critical areas including table schema finalization, data quality gates (validation, deduplication), credit cost management, webhook reliability testing, and establishing robust monitoring and alerting procedures before going live.