AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Packages and deploys applications to Kubernetes using Dockerfiles, Helm charts, and Minikube for a local-first development workflow.
Empowers AI coding agents to debug runtime behavior through structured logging and queryable telemetry endpoints.
Refactors Flask applications into clean, maintainable architectures using industry-standard design patterns and best practices.
Debugs Flask applications systematically using a structured four-phase methodology and specialized tooling.
Audits Flask applications for architectural integrity, blueprint organization, and production-grade security patterns.
Generates futuristic UI/UX design specifications featuring glassmorphism, 3D depth, and modern SaaS aesthetics.
Analyzes MicroPython code changes using a database of 19,500+ historical maintainer review patterns.
Standardizes the process of building and documenting specialized Claude Code skills for custom agentic workflows.
Designs purposeful, performant UI animations and transitions using Framer Motion for React and Next.js applications.
Implements production-grade backend architectures, API designs, and database optimizations for Node.js and Next.js applications.
Audits IAM policies, ACLs, and permission configurations to identify security vulnerabilities and privilege escalation paths.
Audits system access controls and IAM policies to identify security vulnerabilities, misconfigurations, and privilege escalation risks.
Audits and identifies vulnerabilities in IAM policies, network ACLs, and application-level access controls to ensure security compliance.
Performs automated accessibility audits to ensure web applications meet WCAG standards and ARIA best practices.
Validates the ethical implications, fairness, and potential biases of AI models and datasets to ensure responsible development.
Analyzes AI models and datasets to identify biases, evaluate fairness metrics, and ensure responsible AI development.
Refines and compresses LLM prompts to minimize token usage, reduce costs, and maximize output quality.
Optimizes LLM prompts to reduce token usage, lower operational costs, and improve response performance.
Automates the analysis and management of snapshot test failures across major JavaScript testing frameworks.
Orchestrates complex multi-agent systems and intelligent task routing using the AI SDK v5 across multiple LLM providers.
Orchestrates sophisticated multi-agent systems using the AI SDK v5 to manage agent handoffs, task routing, and complex collaborative workflows.
Generates comprehensive alerting rules and monitoring thresholds to proactively manage system performance and reliability.
Identifies outliers and unusual patterns in datasets using specialized machine learning algorithms like Isolation Forest and One-Class SVM.
Identifies unusual patterns and outliers in datasets using advanced machine learning algorithms to uncover potential fraud, errors, or security threats.
Generates production-ready Ansible playbooks to automate server configurations and infrastructure management tasks.
Performs automated fuzz testing on REST APIs to discover vulnerabilities, input validation flaws, and potential security breaches.
Automates the generation and execution of comprehensive API tests for REST and GraphQL endpoints to ensure contract compliance and security.
Automates the generation and execution of comprehensive test suites for REST and GraphQL APIs to ensure contract compliance and security.
Automates the generation of comprehensive Application Performance Monitoring (APM) dashboards for Grafana and Datadog using natural language.
Analyzes application CPU, memory, and execution time to identify performance bottlenecks and recommend code-level optimizations.
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