Skill UI

This comprehensive guide provides essential security protocols for building robust Laravel applications. It covers best practices for authentication (Sanctum, Passport), authorization (Policies), input validation, and protecting against common vulnerabilities like CSRF, XSS, and SQL injection. Key topics include secure file uploads, rate limiting, environment variable management, and implementing robust middleware.

Evaluates API rate limiting controls for bypass vulnerabilities by probing headers, IPs, methods, versions, and encodings, ensuring throttling defenses hold up during brute-force, credential stuffing, or DoS assessments.

Guides securing public API Gateway endpoints using AWS WAF managed rule groups for OWASP coverage, custom rate limits, bot control, IP reputation filtering, and metric monitoring to keep attacks and abuse in check.

Guide to systematically assess REST and GraphQL APIs against the OWASP API Security Top 10 risks using Burp Suite, Postman, ffuf, and curl to discover endpoints, probe auth/authorization flaws, and verify rate limiting before deployment.

A comprehensive multi-agent feedback loop inspired by Generative Adversarial Networks (GANs), designed to build complex, production-ready applications. It separates generation from evaluation, using a 'ruthlessly strict' evaluator (QA) to drive continuous iteration. This process ensures high design quality, robust functionality, and originality, overcoming the limitations of single-agent self-critique. Ideal for full-stack feature development and complex product specification implementation.

This comprehensive guide outlines essential best practices and structural checks for developing robust Salesforce Apex code. It covers critical areas such as preventing governor limit exceptions (e.g., bulk safety), enforcing security (CRUD/FLS), preventing SOQL injection, adhering to sharing models, and implementing modern Apex idioms. It also mandates rigorous testing strategies (Positive, Negative, Bulk) and proper trigger architecture.

Comprehensive runbook for managing Adobe API integration outages, covering Firefly, PDF Services, and IMS authentication failures. Provides structured procedures for initial triage, determining severity (P1-P4), executing recovery steps (Auth/Rate Limit), implementing fallback modes, and documenting post-incident reports and communication.

This guide provides comprehensive troubleshooting for common issues encountered when converting Figma designs to code using the Anima SDK. It covers authentication failures (Figma/Anima tokens), specific node/file lookup errors, code rate limits, and output quality problems, helping developers ensure accurate and robust code generation.

This guide details advanced strategies for optimizing Claude API usage to reduce latency and cost. Techniques covered include prompt caching (significant cost reduction), strategic model selection (Haiku, Sonnet, Opus) based on task complexity, implementing streaming for perceived speed, and managing token limits. Use this guide when building high-performance, cost-efficient LLM applications that interact with large language models.

A comprehensive diagnostic reference for resolving common technical failures encountered when running web scraping and automation tasks on the Apify platform. Covers issues such as Actor run failures, API rate limits (429), authentication errors (401), anti-bot blocks, and memory allocation issues, providing structured fixes and best practices for robust scraping pipelines.

This guide provides comprehensive strategies for optimizing API usage and managing costs associated with the Attio platform. Learn how to audit current usage patterns, implement smart caching tiers (schema, records, queries), and replace inefficient polling mechanisms with webhooks to significantly reduce request volume and stay within budget limits.

This guide provides a set of production-grade TypeScript patterns for robust interaction with the Attio REST API. It covers essential best practices including typed clients, automatic retry mechanisms with exponential backoff, cursor-based pagination iterators, and multi-tenant factory implementation, ensuring reliable and scalable API integration. Use these patterns to handle common API challenges like rate limiting and large datasets efficiently.