Explore our collection of Agent Skills to enhance your AI workflow.
Evaluates machine learning model performance using a comprehensive suite of metrics to ensure accuracy and reliability.
Evaluates machine learning model performance using a comprehensive suite of metrics to facilitate data-driven optimization and validation.
Automates the deployment and serving of machine learning models into production environments using industry best practices.
Automates the transition of machine learning models from development to production environments through API generation and containerization.
Automates end-to-end testing for iOS and Android applications using frameworks like Appium, Detox, and XCUITest.
Automates mobile application testing across iOS and Android platforms using industry-standard frameworks like Appium and Detox.
Automates the end-to-end machine learning workflow by analyzing datasets, selecting optimal model types, and generating production-ready model artifacts.
Automates the machine learning lifecycle by analyzing datasets, selecting optimal algorithms, and training models with cross-validation.
Aggregates and centralizes performance metrics from diverse systems to streamline observability and real-time monitoring.
Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production environments.
Generates and executes comprehensive load test scripts to validate application performance and identify architectural bottlenecks.
Validates load balancing strategies by testing traffic distribution, failover scenarios, and session persistence.
Automates the validation of traffic distribution, failover mechanisms, and health checks for load balancing configurations.
Generates production-ready configurations for AWS ALB/NLB, Nginx, and HAProxy to automate infrastructure deployment and traffic management.
Generates production-ready Kubernetes manifests including deployments, services, and ingress configurations following industry best practices.
Automates the setup, execution, and cleanup of comprehensive integration test suites within the Claude Code environment.
Automates the execution of complex integration test suites by managing environment setup, database migrations, and service orchestration.
Conducts comprehensive security assessments and vulnerability discovery for REST, SOAP, and GraphQL APIs.
Extracts and transforms conversation patterns, workflows, and domain knowledge into reusable AI skills.
Scans source code to identify and mitigate input validation vulnerabilities like SQL injection, XSS, and command injection.
Manages and queries user entitlements for Azure Data Manager for Energy (ADME) via the OSDU API.
Provisions and manages user access for OSDU and Azure Data Manager for Energy (ADME) preshipping environments.
Scans source code to identify and mitigate input validation vulnerabilities like SQL injection and cross-site scripting.
Scans source code for security vulnerabilities related to improper input validation, sanitization, and common web exploits.
Identifies potential security vulnerabilities by scanning source code for missing or insufficient input validation and sanitization.
Provides actionable techniques and command-line references for escalating user privileges on Linux and Windows systems.
Performs comprehensive SEO audits to identify technical issues, optimize on-page elements, and improve organic search performance.
Automates the collection and visualization of comprehensive infrastructure performance metrics across multi-layer systems and cloud services.
Automatically addresses and resolves code review feedback from GitHub PRs and local review agents.
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