AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Simplifies access to the Ensembl REST API for comprehensive genomic data retrieval, sequence analysis, and variant prediction across 250+ species.
Optimizes Flutter and Dart codebases using modern Dart 3 features and industry-standard state management patterns.
Builds sophisticated Retrieval-Augmented Generation systems to ground LLMs with external data and private knowledge bases.
Designs and implements sophisticated multi-agent orchestration architectures for scalable, isolated, and efficient AI workflows.
Optimizes multi-agent system performance through context-efficient coordination patterns and strategic handoff protocols.
Provides architectural blueprints and proven patterns for building robust, scalable automation workflows in n8n.
Refactors Angular applications to modern standards including Signals, standalone components, and optimized RxJS patterns.
Systematically diagnoses and resolves Kubernetes cluster issues including pod failures, connectivity problems, and resource constraints using a structured four-phase methodology.
Refactors Pandas code to improve performance, readability, and memory efficiency using modern best practices and 2.0+ features.
Monitors the health and operational status of LlamaFarm machine learning services, models, and data buffers.
Automates WebWorks ePublisher documentation builds and publishing workflows using the AutoMap command-line interface.
Standardizes project documentation through a hierarchical convergence structure and automated validation tools.
Manages WebWorks ePublisher project structures, targets, and source document groups for automated documentation workflows.
Diagnoses and resolves complex Terraform issues including state locks, provider authentication, and resource drift using a systematic four-phase approach.
Evaluates the linguistic and pragmatic depth of Japanese vocabulary cards to identify necessary learning extensions.
Orchestrates the initialization and health monitoring of LlamaFarm backend services, RAG workers, and ML runtimes.
Refactors PyTorch code to improve maintainability, performance, and adherence to PyTorch 2.x best practices.
Queries built-in macOS dictionaries to provide instant definitions, readings, and translations for Japanese, Chinese, and English terms.
Standardizes multi-layer testing workflows including Playwright E2E, Vitest components, and automated UI verification.
Translates informal user stories and requirements into precise, testable EARS format for clear and unambiguous system specifications.
Standardizes Python research project documentation to ensure reproducibility and clarity for contributors.
Enables seamless inter-agent communication and coordination within tmux sessions using a persistent file-based messaging system.
Applies medicinal chemistry filters and drug-likeness rules to prioritize compound libraries and assess molecular quality.
Provides a comprehensive suite of tools for statistical estimation, inference, and rigorous econometric analysis in Python.
Provides expert guidance for writing Python scripts within n8n Code nodes, focusing on data access and environment limitations.
Orchestrates collaborative AI agent teams using role-based design and complex task delegation for autonomous workflows.
Transforms FastAPI and Python code into maintainable, high-performance APIs following Pydantic v2 and SOLID principles.
Validates the structural integrity and formatting of Japanese language learning cards to ensure consistent data quality.
Refactors legacy or inefficient Next.js code into modern, high-performance App Router architecture using React Server Components and best practices.
Standardizes project documentation and file headers using a hierarchical aggregation structure to maintain codebase clarity and consistency.
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