AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Implements end-to-end request tracking across microservices using Jaeger, Tempo, and OpenTelemetry to eliminate performance bottlenecks.
Generates comprehensive action plans with success criteria, risk assessment, and fallback strategies for complex technical tasks.
Applies consistent and standardized global commenting patterns across codebases using the Agent OS framework.
Generates custom, project-specific Claude Code skills tailored to unique codebases, architectural patterns, and organizational workflows.
Provides a comprehensive overview of project quality standards, tools, and workflows to ensure code health.
Designs and implements rich domain models using Domain-Driven Design (DDD), CQRS, and hexagonal architecture patterns.
Validates feature implementation against acceptance criteria through automated test execution and code analysis.
Enforces repository execution discipline through small PRs, automated migration testing, and structured AI agent handoff protocols.
Implement a multi-layered persistent memory architecture for AI agents to enable cross-session learning and long-term context retention.
Automates and manages Gemini CLI built-in tools for seamless file operations, web research, and secure shell execution.
Analyzes feature scope and project architecture to generate effort estimates, cost projections, and optimized development pipelines.
Orchestrates multi-step generative AI workflows using Amazon Bedrock's visual flow builder and specialized logic nodes.
Automates browser-based end-to-end testing to verify that feature implementations meet specific acceptance criteria.
Executes comprehensive test suites including unit, integration, E2E, and mutation tests to validate code changes and ensure quality.
Optimizes Amazon EKS clusters with intelligent, high-performance node autoscaling using Karpenter for significant cost reduction and faster provisioning.
Creates and edits user interface components for Highrise Studio projects using UXML, Lua, and USS files.
Standardizes Python code formatting, linting, and type checking to enhance long-term project maintainability.
Conducts comprehensive, systematic quality assessments and production-readiness reviews for Claude Code skills across five key dimensions.
Automates the detection, retrieval, and integration of the latest Anthropic documentation to keep AI development skills current.
Ensures deterministic results in Python research code by centralizing configurations, controlling randomness, and recording run metadata.
Integrates real-time financial market data including stock quotes, forex rates, crypto prices, and company fundamentals via the FinnHub API.
Provides comprehensive expertise and implementation patterns for the entire Anthropic ecosystem, including Claude models, APIs, SDKs, and the Model Context Protocol.
Protects AI applications against prompt injection attacks by managing security patterns and automating regression testing.
Automates electronic lab notebook workflows including data uploads, notebook backups, and programmatic entry management via the LabArchives REST API.
Creates new Claude skills by following Anthropic best practices for packaging procedural knowledge and extending domain expertise.
Creates high-quality, standardized programming exercises and tutorials with automated formatting and structure.
Automates Gemini CLI tool execution for file management, web research, and shell operations within Claude Code workflows.
Generates professional research posters using HTML and CSS for seamless export to PowerPoint and PDF formats.
Implement deep generative models for single-cell omics analysis, enabling batch correction, multimodal integration, and probabilistic differential expression.
Validates web application accessibility by providing comprehensive guides and implementation patterns for screen reader testing across major platforms.
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