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A comprehensive guide for managing resource limits and quotas across all Supabase services (API, Auth, Storage, Realtime, Edge Functions). Learn how to understand tier-specific limits, configure connection pooling using Supavisor (Transaction/Session mode), and implement robust retry logic with exponential backoff to gracefully handle 429 rate limiting errors, ensuring high application reliability.

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 skill provides a comprehensive guide to securing Supabase projects. It covers critical security measures, including proper separation of anonymous and service role keys, enforcing Row Level Security (RLS) on all tables, and hardening the API surface. Use this when setting up a new project, performing security audits, or implementing robust data access control policies.

This comprehensive skill provides advanced architectural patterns for implementing robust API throttling and rate limiting policies. It covers critical concepts like concurrency limiting, priority queuing, circuit breakers, and adaptive throttling that adjust limits based on real-time backend health metrics (p95/p99 latency). Use this when designing resilient, scalable backend services that must protect themselves from overload and maintain stability under high load.

A comprehensive utility suite for handling external API rate limits, specifically designed for services like TwinMind. It implements advanced patterns including exponential backoff with jitter and request queue management. Use this to ensure resilient, high-throughput, and stable interactions with resource-constrained AI APIs, minimizing 429 errors.

This guide details how to handle critical TwinMind meeting events, including transcription completion, automated action item extraction, and calendar synchronization notifications. It is essential for developers implementing robust webhooks or managing advanced AI operations within a corporate meeting workflow using services like GPT-4, Claude, or Gemini.

This skill provides robust strategies and Python implementations for dealing with API rate limiting (HTTP 429 errors) when interacting with services like Vast.ai. It includes automatic retry logic, exponential backoff algorithms, and optimized techniques for batch operations and polling, ensuring stable and efficient API throughput.

This guide provides comprehensive solutions for handling Vercel API rate limits (HTTP 429 errors). It covers implementing robust retry logic with exponential backoff for consuming Vercel's outbound APIs. Furthermore, it demonstrates how to configure Vercel's WAF rate limiting and custom edge configurations to protect your own deployed API endpoints, ensuring stability and preventing service abuse.

Systematic Windows privilege escalation guide covering enumeration, credential harvesting, service abuse, token impersonation, kernel exploits and configuration flaws to elevate from standard user to Administrator/SYSTEM during pentests.

A comprehensive guide and skill for building robust, production-ready REST API endpoints. This skill covers full lifecycle development, including input validation, centralized error handling, authentication/authorization checks, CRUD operations, pagination, and generating proper API documentation. It ensures that back-end services are secure, scalable, and adhere to industry best practices.

This comprehensive guide details how to establish secure and robust API endpoints using Expo Router and EAS Hosting. Learn best practices for handling server-side secrets (API keys, credentials), proxying third-party services (like OpenAI), executing secure database operations, and implementing complex business logic entirely on the server. It covers file structure, HTTP methods, and deployment to Cloudflare Workers.

A guide to building robust, type-safe, and highly testable backend services using functional programming patterns in Node.js or Deno. This pattern utilizes fp-ts and ReaderTaskEither to manage dependency injection, compose complex business logic, and handle typed errors gracefully, promoting clean service layer architecture.