Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Implements asynchronous communication patterns using message brokers and task queues for scalable, event-driven systems.
Implements chronological UI components including vertical timelines, activity feeds, Gantt charts, and calendar interfaces with full accessibility support.
Optimizes system responsiveness and scalability through comprehensive load testing, deep profiling, and full-stack tuning strategies.
Implements high-performance vector databases and retrieval-augmented generation (RAG) patterns for AI-powered applications.
Architects responsive, accessible, and high-performance layout systems using modern CSS techniques like Grid, Flexbox, and Container Queries.
Deploys applications across Kubernetes, serverless, and edge platforms using Infrastructure as Code and GitOps patterns.
Optimizes SQL query performance across PostgreSQL, MySQL, and SQL Server through execution plan analysis and strategic indexing.
Integrates modular AI-generated components into production-ready applications with validated design tokens and framework-specific scaffolding.
Implements comprehensive navigation patterns and multi-stack routing configurations for frontend and backend applications.
Implements modern authentication, fine-grained authorization, and robust API security patterns following 2025 industry standards.
Implements flexible-schema NoSQL database patterns including MongoDB, DynamoDB, and Firestore with optimized indexing and aggregation strategies.
Generates comprehensive technical documentation including API specs, code docs, architecture decision records, and system diagrams.
Transforms raw data into clean, analytical assets using modern ETL/ELT patterns, SQL (dbt), and high-performance Python frameworks.
Manages production Kubernetes clusters through advanced resource configuration, security hardening, and systematic troubleshooting.
Implements multi-layer security scanning, SBOM generation, and risk-based vulnerability prioritization within CI/CD pipelines.
Implements robust traffic distribution strategies across multi-server environments using cloud-managed or self-hosted load balancers.
Provides expert debugging strategies for Python, Go, Rust, and Node.js across local, containerized, and production environments.
Guides architects through strategic data platform design, storage paradigms, and modeling approaches for modern cloud-native systems.
Builds high-quality, cross-platform command-line interfaces in Python, Go, and Rust using modern framework best practices and standardized patterns.
Implements and automates regulatory compliance across SOC 2, HIPAA, PCI-DSS, and GDPR using unified control mapping and policy-as-code.
Provides strategic guidance and technical patterns for operationalizing machine learning models from experimentation to production deployment.
Deploys and optimizes LLM and machine learning models for production-grade inference and API integration.
Configures and deploys production-ready service mesh infrastructure using Istio, Linkerd, or Cilium for secure, observable microservices.
Architects and implements comprehensive disaster recovery strategies, including RTO/RPO planning, automated backups, and cross-region failover configurations.
Implements and optimizes backend API architectures across REST, GraphQL, gRPC, and tRPC protocols.
Manages the lifecycle of API keys, database credentials, and certificates across cloud providers and Kubernetes environments.
Manages Linux servers by optimizing systemd services, troubleshooting performance, and configuring secure networking.
Builds production-ready data infrastructure for AI systems, including RAG pipelines, feature stores, and embedding workflows.
Generates production-grade, multi-stage Dockerfiles optimized for size, performance, and security across multiple programming languages.
Implements professional notification systems, modals, and progress indicators using UI/UX best practices and accessibility standards.
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