Skill UI

This guide provides production-ready coding patterns for interacting with various built-in Replit services. It covers best practices for setting up singleton clients, implementing robust error handling, and creating type-safe wrappers for Key-Value Database, Object Storage, PostgreSQL, and Auth middleware. Ideal for developers building complex Replit integrations or establishing standardized data access layers.

This skill provides comprehensive patterns for data handling and integration with Retell AI. It is designed for developers building advanced voice agents, automating phone calls, or working with complex telephony systems. The guide covers SDK usage, agent listing, and robust error handling, ensuring reliable implementation of voice AI applications.

Automates clustering workflows on supplied datasets with K-means, DBSCAN, or hierarchical algorithms, handling preprocessing, validation, metrics, and visualizations to expose groupings and anomalies.

Provides a comprehensive guide and framework for executing end-to-end (E2E) tests. It simulates real user interactions across the entire application stack, covering browser UI, API calls, and database operations. The guide details best practices like implementing the Page Object Model (POM), configuring multi-browser environments (Playwright, Cypress, Selenium), and establishing robust error handling mechanisms to ensure high application stability and quality.

This skill generates a comprehensive, minimal, and enforceable security policy document (Blue Book) for applications handling sensitive data. It structures requirements using MUST/SHOULD/CAN language, explicitly defining assumptions, scope, threat models, and security gates. It is essential for establishing clear security guardrails and ensuring compliance early in the development lifecycle.

Provides comprehensive security review guidance for authentication, input handling, secrets, APIs, and payment-sensitive workflows, with actionable checklists covering secrets, validation, SQL injection, auth, XSS, CSRF, rate limits, and sensitive data handling.

Configure GDPR-compliant data handling, PII scrubbing, and data retention policies within Sentry. This skill provides detailed instructions on implementing client-side `beforeSend` hooks and server-side scrubbing rules to securely redact sensitive data (passwords, emails, IP addresses, CC numbers). Essential for achieving compliance with regulations like GDPR, HIPAA, and meeting SOC 2 audit controls.

Guides building, tuning, and validating production Apache Spark jobs, covering DataFrame/RDD choices, partitioning, broadcast joins, skew handling, caching, and cluster configuration for big data pipelines.

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 comprehensive guide details the process for upgrading the Speak SDK, migrating data between various language learning platforms (such as Duolingo or Babbel), and handling critical API version deprecations. It provides structured steps for version checking, dependency upgrades, and implementing complex data mapping logic to ensure a smooth transition to production-ready systems.

This skill provides a comprehensive guide for developers to configure and verify webhooks for the Speak language learning platform. It addresses handling critical lifecycle events, including lesson completion, progress tracking, and achievement notifications. Use this when building production-ready integrations or managing enterprise-level data synchronization from Speak's API.

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.