Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Generates and manages production-ready Helm charts to streamline Kubernetes application packaging and deployment.
Scans codebases and infrastructure configurations to identify potential HIPAA violations and ensure secure handling of protected health information.
Audits codebases, infrastructure configurations, and documentation to identify potential HIPAA compliance violations and security risks.
Automates the discovery of optimal machine learning model configurations using grid search, random search, and Bayesian optimization.
Optimizes machine learning models using automated grid, random, and Bayesian search strategies to maximize predictive performance.
Generates production-ready Infrastructure as Code configurations for multiple cloud providers and platforms using natural language prompts.
Automates the collection and visualization of comprehensive infrastructure performance metrics across multi-layer systems and cloud services.
Identifies potential security vulnerabilities by scanning source code for missing or insufficient input validation and sanitization.
Scans source code for security vulnerabilities related to improper input validation, sanitization, and common web exploits.
Scans source code to identify and mitigate input validation vulnerabilities like SQL injection and cross-site scripting.
Scans source code to identify and mitigate input validation vulnerabilities like SQL injection, XSS, and command injection.
Automates the execution of complex integration test suites by managing environment setup, database migrations, and service orchestration.
Automates the setup, execution, and cleanup of comprehensive integration test suites within the Claude Code environment.
Generates production-ready Kubernetes manifests including deployments, services, and ingress configurations following industry best practices.
Generates production-ready configurations for AWS ALB/NLB, Nginx, and HAProxy to automate infrastructure deployment and traffic management.
Automates the validation of traffic distribution, failover mechanisms, and health checks for load balancing configurations.
Validates load balancing strategies by testing traffic distribution, failover scenarios, and session persistence.
Generates and executes comprehensive load test scripts to validate application performance and identify architectural bottlenecks.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production environments.
Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Aggregates and centralizes performance metrics from diverse systems to streamline observability and real-time monitoring.
Automates the machine learning lifecycle by analyzing datasets, selecting optimal algorithms, and training models with cross-validation.
Automates the end-to-end machine learning workflow by analyzing datasets, selecting optimal model types, and generating production-ready model artifacts.
Automates web application penetration testing and vulnerability assessments to identify security risks like the OWASP Top 10.
Automates security vulnerability assessments and penetration testing for web applications and APIs using industry-standard patterns.
Conducts automated security audits and vulnerability assessments to identify OWASP Top 10 threats in web applications.
Validates application performance metrics against predefined thresholds to prevent regressions and maintain optimal user experiences.
Analyzes software projects to identify bottlenecks and provide prioritized recommendations for enhancing speed and efficiency across the full stack.
Identifies and reports performance degradations within CI/CD pipelines by analyzing response times and throughput metrics against historical baselines.
Automates the design, execution, and analysis of performance tests to identify system bottlenecks and optimize application throughput.
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