AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Enforces standardized development principles across security, testing, performance, and documentation to ensure high-quality software engineering.
Refines rough ideas into fully-formed technical designs through structured collaborative questioning and incremental validation.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge and proprietary data.
Implements secure authentication and authorization systems using JWT, OAuth2, and robust access control patterns.
Designs and documents production-grade RESTful and GraphQL APIs with OpenAPI specifications and industry-standard security patterns.
Architects optimized PostgreSQL schemas using industry best practices for data integrity, performance, and scalability.
Implement comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.
Identifies and evaluates suitable open-source issues by matching contributor skills, time availability, and project health metrics.
Streamlines the architecture, build optimization, and dependency management of large-scale multi-package repositories using Turborepo, Nx, and pnpm.
Builds intuitive, scalable, and maintainable REST and GraphQL APIs using industry-standard design patterns and best practices.
Implements comprehensive evaluation strategies for Large Language Model applications using automated metrics, human feedback, and comparative benchmarking.
Architects resilient, distributed systems using Temporal workflow patterns, saga implementations, and state management best practices.
Implements a systematic TRACE framework to identify, analyze, and resolve complex software errors efficiently.
Implements comprehensive Python testing strategies using pytest, mocking, and test-driven development best practices.
Designs scalable and resilient distributed systems using industry-standard service boundaries, event-driven communication, and data management patterns.
Optimizes cloud expenditures through resource rightsizing, automated tagging strategies, and infrastructure-as-code patterns.
Creates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.
Analyzes open-source issue requirements and maps them directly to specific code locations and structured implementation plans.
Optimizes cloud infrastructure spending through resource rightsizing, reserved capacity planning, and automated cost governance.
Implements robust backend architectures using Clean Architecture, Hexagonal Architecture, and Domain-Driven Design principles.
Builds reusable, production-ready Terraform modules for AWS, Azure, and GCP following infrastructure-as-code best practices.
Architect multi-stage CI/CD workflows with automated gates, secure orchestration, and advanced deployment strategies.
Automates and guides complex database migrations across multiple ORMs with a focus on zero-downtime and data integrity.
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Implements distributed tracing with Jaeger and Tempo to monitor microservice request flows and pinpoint performance bottlenecks.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and automated alerting.
Architects resilient and vendor-neutral systems by selecting and integrating services across AWS, Azure, and GCP.
Design and implement resilient distributed systems using Temporal workflow patterns, saga logic, and state management best practices.
Implements advanced prompt engineering techniques to optimize LLM performance and output reliability for production applications.
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