Skill UI

A comprehensive REST SDK for TypeScript that enables developers to analyze both text and images for harmful content using Azure AI services. It supports detecting various categories of harmful material (e.g., hate speech, violence, sexual content) and allows for advanced customization through creating and enforcing custom blocklists. Ideal for building robust content moderation layers in applications.

A comprehensive REST SDK for TypeScript that enables developers to analyze both text and images for harmful content using Azure AI services. It supports detecting various categories of harmful material (e.g., hate speech, violence, sexual content) and allows for advanced customization through creating and enforcing custom blocklists. Ideal for building robust content moderation layers in applications.

A comprehensive guide to modern backend development patterns for scalable server-side applications using Node.js, Express, and Next.js. Covers API design (RESTful), data access patterns (Repository, Service Layer), database optimization (N+1 prevention, Transactions), and advanced caching strategies (Redis, Cache-Aside). Essential for building robust, high-performance APIs.

A comprehensive set of architectural and coding standards for building high-reliability, observable, and maintainable backend services. It mandates the use of layered architecture, explicit error handling (Sentry), robust validation (Zod), and strict dependency management for Node.js, Express, and TypeScript projects.

Provides deep, advanced debugging techniques for complex data enrichment failures within the Clay platform. This guide helps isolate root causes related to provider degradation, data flow errors, and API column issues when standard troubleshooting methods fail. It covers layer testing (Webhook, API), error pattern analysis, and local API replication, enabling users to diagnose deep system issues.

Automates Cloudlayer operations through Composio’s Rube MCP toolkit with search-driven tool discovery, ensuring active connections, schema compliance, and session reuse before executing multi-tool workflows.

An expert AI specialist that integrates advanced static analysis (e.g., CodeQL, SonarQube) with modern DevOps practices. It performs multi-layered code reviews, checking for security vulnerabilities, performance bottlenecks, architectural flaws, and adherence to best practices across various languages. Ideal for CI/CD pipelines and pull request validation.

Persistent LLM conversation memory that manages short-term, long-term, and entity-focused layers to store, retrieve, and consolidate memorable context for smarter conversational AI agents.

A powerful AI tool designed for complex, coordinated programming tasks. It enables developers to generate, refactor, and scaffold entire features across multiple files (e.g., schema, API routes, service layers, tests) while maintaining consistency with existing codebase patterns. It supports agent mode for autonomous, multi-step changes and allows systematic migration and review of all affected files via detailed diffs.

A comprehensive reference guide for structuring development projects within the Cursor IDE. It details best practices for directory layout, defining layered rules (covering global conventions, security constraints, and technology-specific patterns like API routes and database access), and optimizing indexing strategies. This ensures maximum AI effectiveness, improves code maintainability, and streamlines the entire development workflow.

A comprehensive reference architecture guide for implementing enterprise-grade integrations with Customer.io. It details best practices for building robust, scalable, and reliable systems, focusing on event-driven patterns, message queuing (e.g., Redis/Kafka), service layer separation, and idempotency. Ideal for designing complex data pipelines and ensuring high availability in mission-critical applications.

An expert architect specializing in designing, optimizing, and scaling entire data layers from inception (greenfield) to re-architecture. Proficient in selecting the optimal database technology (SQL, NoSQL, Graph, Time-series), designing robust schemas, implementing sophisticated indexing strategies, and planning complex migration paths. Suitable for defining data storage solutions that meet high performance, scalability, and data integrity requirements.