모든 Claude 스킬 탐색

Load Balancer Testing

Automates the validation of traffic distribution, failover mechanisms, and health checks for load balancing configurations.

Load Balancer Tester

Validates load balancing strategies by testing traffic distribution, failover scenarios, and session persistence.

Load Testing Adapter

Generates and executes comprehensive load test scripts to validate application performance and identify architectural bottlenecks.

Log Aggregation Setup

Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production environments.

Log Analysis & Insights

Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.

Performance Metrics Aggregator

Aggregates and centralizes performance metrics from diverse systems to streamline observability and real-time monitoring.

Automated ML Model Trainer

Automates the machine learning lifecycle by analyzing datasets, selecting optimal algorithms, and training models with cross-validation.

Automated ML Training

Automates the end-to-end machine learning workflow by analyzing datasets, selecting optimal model types, and generating production-ready model artifacts.

Mobile App Testing Adapter

Automates mobile application testing across iOS and Android platforms using industry-standard frameworks like Appium and Detox.

Mobile App Testing Automation

Automates end-to-end testing for iOS and Android applications using frameworks like Appium, Detox, and XCUITest.

Machine Learning Model Deployment Adapter

Automates the transition of machine learning models from development to production environments through API generation and containerization.

ML Model Deployment Adapter

Automates the deployment and serving of machine learning models into production environments using industry best practices.

Machine Learning Model Evaluation

Evaluates machine learning model performance using a comprehensive suite of metrics to facilitate data-driven optimization and validation.

Machine Learning Model Evaluator

Evaluates machine learning model performance using a comprehensive suite of metrics to ensure accuracy and reliability.

ML Model Explainability

Provides deep insights into machine learning model predictions using interpretability techniques like SHAP and LIME.

ML Model Explainability & Interpretation

Provides deep insights into machine learning model predictions and feature importance using interpretability techniques like SHAP and LIME.

AI Model Versioning Tracker

Tracks and manages AI/ML model versions, lineage, and performance metrics within your development workflow.

Model Versioning Tracker

Tracks and manages AI/ML model versions, performance metrics, and lineage within Claude Code workflows.

Monitoring Stack Deployer

Automates the deployment and configuration of observability tools like Prometheus, Grafana, and Datadog for production-ready environments.

Mutation Test Runner

Validates test suite effectiveness by introducing code mutations and analyzing survival rates to identify testing gaps.

Mutation Testing Specialist

Validates test suite effectiveness by introducing code mutations and measuring the ability of existing tests to detect logic changes.

Network Latency & Request Optimizer

Diagnoses and resolves application bottlenecks by optimizing network request patterns, parallelizing API calls, and improving connection management.

Kubernetes Network Policy Manager

Generates and manages secure Kubernetes network policies and firewall rules based on infrastructure requirements and security best practices.

Neural Network Builder

Automates the design and configuration of deep learning architectures including CNNs, RNNs, and Transformers through natural language commands.

Neural Network Builder

Constructs and configures complex neural network architectures using natural language commands within Claude Code.

NLP & Text Analysis

Analyzes text data to perform sentiment analysis, keyword extraction, and topic modeling using advanced NLP techniques.

NLP Text Analyzer

Performs advanced natural language processing tasks including sentiment analysis, keyword extraction, and topic modeling to derive actionable insights from text.

NoSQL Data Modeler

Designs high-performance NoSQL schemas and data models optimized for scalability in databases like MongoDB and DynamoDB.

ORM & Database Schema Generator

Generates production-ready ORM models and database schemas for frameworks like TypeORM, Prisma, and SQLAlchemy using natural language.

Overnight Autonomous Development

Automates end-to-end software development tasks using Git hooks to enforce a rigorous test-driven development (TDD) workflow.