Skill UI

This comprehensive guide demonstrates how to integrate external applications with the Clay platform using webhooks. Users learn to send raw data (such as company domains or lead information) via API calls in multiple popular languages (cURL, Python, Node.js). Clay automatically processes this data through configured enrichment columns and returns enriched, structured results. This is essential for building robust data pipelines and testing webhook setups.

A comprehensive guide for deploying applications authenticated with Clerk to various major hosting platforms, including Vercel, Netlify, Railway, and custom Docker setups. It details environment variable setup, domain configuration, webhook handling, and provides post-deployment verification scripts to ensure a robust production environment.

Automates cloud security posture assistance within the Security Advanced domain, guiding practitioners through best practices, compliance checks, threat modeling, and prod-ready configurations whenever they mention cloud security posture.

Generates Python code and workflows for collaborative, content-based, or hybrid recommendation models, handling data prep, training, evaluation, and scalability so Claude can deliver tailored suggestions across domains.

Scans component namespaces to detect duplicated domain logic across services, then suggests consolidation paths or shared services to improve maintainability and clarity.

Assists container security auditors within the Security Advanced domain by auto-activating when key terms appear, walking through best-practice guidance, producing production-ready code/configurations, and validating results against compliance and threat-modeling standards.

Automates cors policy validator tasks in the Security Fundamentals domain, offering best-practice guidance, prompt validation, and production-ready configuration snippets whenever you ask about cors policy patterns or hardening.

Automated AWS skill that activates when you invoke cost optimization analyzer, offering guided best practices, code/config validation, and recommendations across compute, storage, networking, and serverless domains.

This skill models the expertise of a senior data scientist, covering the entire data science lifecycle. It provides advanced capabilities in statistical modeling, machine learning (deep learning, XGBoost), predictive analytics, and business intelligence. From raw data exploration (EDA) to deploying production-ready models and creating actionable dashboards, it covers technical depth across Python, R, SQL, and cloud platforms, while applying domain knowledge in finance, marketing, and operations.

This skill guides the definition of relationships and integration contracts between distinct bounded contexts within a complex system using Domain-Driven Design (DDD) patterns. It is crucial for preventing domain leakage, planning anti-corruption layers (ACLs), and clarifying ownership boundaries when multiple services interact, ensuring a robust and scalable system architecture.

This skill guides the architectural definition of complex business domains using Domain-Driven Design (DDD). It helps in defining core subdomains, separating services by bounded contexts, and establishing a unified ubiquitous language. It is essential for decomposing monoliths, structuring microservices, and aligning team ownership with clear domain boundaries.

This skill guides the application of Domain-Driven Design (DDD) tactical patterns, including defining aggregates, modeling value objects, managing repositories, and utilizing domain events. It helps developers translate complex domain rules into clean, robust, and behavior-rich code structures, ensuring invariants are explicitly enforced.