Skill UI

Guides Spring Boot 3.x engineers through configuration scaffolds, REST controllers, Spring Security 6 authentication flows, Spring Data JPA repositories, and reactive WebFlux endpoints, making it easier to build microservices and Java REST APIs.

Checklist covering Spring Security best practices for authentication, authorization, validation, CSRF, secrets, headers, rate limiting, dependency scans, and logging in Java Spring Boot services.

Auto-activating security assistant that steps through SQL injection detector tasks, enforces best practices on authentication, input validation, and secure coding, and produces validated code/configuration for Security Fundamentals scenarios.

A comprehensive guide to securely implementing Supabase across diverse modern application stacks. This skill covers critical patterns for Next.js Server Components (SSR), Single Page Applications (SPA), React Native mobile apps, Edge Functions (Serverless), and complex multi-tenant deployments using RLS or schema isolation. It guides developers on correctly managing client types (anon vs. service_role) and handling authentication flows in various environments.

This module provides the essential three pillars for building robust full-stack applications on Supabase. It implements comprehensive user authentication (including OAuth, email/password, and session management), secure file storage (uploading, downloading, and managing signed URLs), and real-time data subscriptions (listening to Postgres changes, presence, and broadcasts). It is crucial for developing modern, live-updating, and highly secure web services.

A comprehensive diagnostic guide for resolving common errors across the entire Supabase stack, including PostgREST, PostgreSQL, Authentication, and Storage. Use this tool when encountering specific error codes (e.g., PGRST301, 42501) or debugging complex API failures like RLS violations or session expiry. It provides step-by-step instructions for identifying the error layer and applying the correct fix.

This tool collects a comprehensive, redacted diagnostic bundle from a Supabase project. It systematically tests connectivity, authentication (Auth), Realtime capabilities, Storage buckets, and Row-Level Security (RLS) policies. The resulting archive is designed for sharing with support teams to accelerate troubleshooting of complex issues like connection failures or misconfigurations.

This comprehensive guide provides step-by-step instructions for setting up a complete connection to a Supabase backend. It covers installing the necessary SDKs (for TypeScript and Python) and the CLI, securely configuring environment variables (URL, anon key, service role key), and initializing the client singleton for both client-side and server-side applications. Essential for new project development and authentication integration.

Learn robust and production-ready patterns for interacting with Supabase backend services. This skill covers client initialization, advanced CRUD operations (filtering, upserting), authentication, real-time subscriptions, and RPC calls. Provides best practices for both TypeScript and Python environments, ensuring secure and reliable data handling.

This guide provides comprehensive solutions for diagnosing and fixing common technical errors and exceptions encountered when using the TwinMind platform. Whether you are facing API authentication failures, microphone permission issues, transcription timeouts, rate limit exceedances, or audio format incompatibility, this reference offers step-by-step solutions and code examples to ensure smooth operation and successful integration.

A comprehensive checklist designed to ensure TwinMind integrations are deployed securely, stably, and compliantly in a production environment. It covers critical best practices across multiple domains, including authentication, data encryption (PII, GDPR), robust infrastructure setup (auto-scaling, load balancing), advanced monitoring (metrics, tracing, alerting), and full CI/CD deployment workflows. Use this when preparing for go-live or conducting production audits.

This guide provides production-ready patterns for implementing the TwinMind AI memory and meeting intelligence REST API. It covers best practices for authentication, storing contextual memories, searching knowledge bases, and processing meeting transcripts to extract actionable insights. Use this when building robust, scalable AI-powered applications or standardizing team coding practices.