Skill UI

This guide identifies and avoids anti-patterns and common integration mistakes when working with Exa's neural search API. It covers crucial topics such as distinguishing between keyword and neural searches, properly retrieving content, handling date filters, and managing client instances. Use this when reviewing Exa-powered code, onboarding new team members, or auditing existing integrations for robustness and correctness.

This comprehensive guide details essential security practices for integrating the Exa API. It covers key areas such as secure API key management using environment variables, implementing content moderation to filter unsafe results, restricting results via domain allow/block lists, and sanitizing user queries to prevent injection attacks. Use this when hardening or auditing an Exa-powered application.

A comprehensive guide to optimizing Fireflies.ai subscription costs. Learn how to reduce expenses by auditing user utilization, configuring selective recording policies, managing storage retention, and accurately right-sizing your plan (Pro, Business, Enterprise). Ideal for teams reviewing billing or implementing cost-saving measures.

This skill acts as a comprehensive security scanner specializing in detecting Cross-Site Scripting (XSS) vulnerabilities in client-side code. It performs static analysis across React, Vue, Angular, and vanilla JavaScript, specifically identifying unsafe practices like direct HTML manipulation (innerHTML), raw rendering (v-html), and insecure URL handling. Use it when auditing frontend code for security flaws and needing best practices for secure coding.

This comprehensive guide provides strategies to optimize your Granola spending. Learn how to calculate individual and team ROI by quantifying time saved, selecting the most appropriate plan (Basic, Business, or Enterprise) based on usage needs, auditing inactive seats, and implementing advanced billing strategies to maximize value and minimize costs.

Assists with auditing HTTP headers by generating best-practice guidance, production-ready configurations, and validations triggered when header security is mentioned.

This guide details best practices for securing Ideogram API integrations. It covers essential steps like using environment variables for key storage, implementing key rotation procedures, establishing server-side proxies to prevent key exposure, and sanitizing prompts to mitigate data leaks. Use this when setting up, maintaining, or auditing API security infrastructure.

Comprehensive reference for designing Spring Boot entities, repositories, transactions, pagination, and pooling with JPA/Hibernate patterns plus auditing, indexing, and caching strategies.

This tool provides comprehensive usage analytics and reporting for Kling AI video generation. It logs detailed events (submission, completion, errors) into structured JSONL files. Users can track performance metrics, analyze success rates, monitor total resource consumption (credits), and generate cost summaries over defined periods. Ideal for building dashboards, cost auditing, and understanding usage patterns.

A comprehensive checklist for ensuring LangChain applications are robust, secure, and scalable for production environments. It covers critical areas including configuration management, advanced error handling, observability setup (e.g., LangSmith), performance optimization, security best practices (like prompt injection prevention and PII handling), rigorous testing, and zero-downtime deployment strategies. Use this guide when preparing for a major launch or auditing existing LLM systems.

This comprehensive guide outlines essential security best practices for implementing and using Lindy AI agents. It covers crucial topics such as robust API key management, webhook signature verification, strict agent permission scoping, and secure data handling protocols. Use this resource when auditing agent activity, configuring enterprise security features (SSO/SCIM), or ensuring compliance and minimizing the attack surface area of autonomous AI systems.

This comprehensive checklist provides best practices and patterns for deploying Linear integrations to a production environment. It covers critical areas including robust authentication and secure secret management, error handling and system resilience (rate limiting, timeouts), performance optimization (caching, batching), and setting up full observability (health checks, structured logging). Use this when preparing for a go-live or auditing existing deployments.