AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Generates interactive HTML dashboards featuring KPI metric cards, SVG-based charts, and data visualizations for monitoring performance.
Transforms complex feature requests into structured, actionable implementation plans and discrete technical tasks.
Masters TypeScript's sophisticated type system to build robust, type-safe applications through generics, conditional types, and mapped types.
Configures comprehensive Prometheus setups for infrastructure and application metric collection, storage, and alerting.
Transforms the writing process into a collaborative partnership by providing real-time research, structured outlining, and section-by-section feedback.
Builds, simulates, and optimizes quantum circuits for various quantum hardware platforms using Google's Cirq framework.
Manages and analyzes microscopy data using the OMERO Python API for advanced bioimage informatics workflows.
Generates comprehensive, multi-layered TypeScript documentation including API references, architectural decision records, and framework-specific patterns.
Empowers product leaders to define strategy, cascade OKRs, and scale high-performing organizations through automated alignment and market analysis.
Facilitates the creation, configuration, and implementation of event-driven automation hooks for Claude Code plugins.
Provides high-performance tools for genomic interval analysis, interval overlap detection, and machine learning tokenization using Rust.
Optimizes LLM performance and reliability through advanced prompting techniques like chain-of-thought, few-shot learning, and structured templates.
Simplifies Amazon DynamoDB integration in Java applications using the AWS SDK 2.x and Enhanced Client.
Implements production-grade REST API design patterns and best practices for Spring Boot applications.
Implements robust JWT-based authentication and authorization for modern Spring Boot 3.5+ applications using Spring Security 6.
Implements secure secret management patterns using the AWS SDK for Java 2.x to store, retrieve, and rotate credentials programmatically.
Simplifies machine learning model interpretation by generating SHAP values and visualizations for model transparency and debugging.
Queries and analyzes openFDA data for drugs, medical devices, food safety, and adverse events using a standardized Python interface.
Enhances image quality, resolution, and sharpness to create professional-grade visuals for documentation and social media.
Automates production-grade PDF workflows including form filling, table extraction, and OCR processing.
Implement industry-standard backend architectures including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design for maintainable systems.
Implements systematic edge case and boundary condition testing patterns for Java applications using JUnit 5.
Facilitates drug discovery and therapeutic machine learning by providing AI-ready datasets, benchmarks, and molecular evaluation oracles.
Architects sophisticated LLM applications using LangChain's agents, memory systems, and complex chain integration patterns.
Builds declarative, type-safe AI services in Java using LangChain4j interfaces, annotations, and memory management.
Mocks external REST API endpoints to enable fast, reliable unit testing of service integrations without real network calls.
Constructs high-performance Model Context Protocol (MCP) servers to bridge LLMs with external APIs and services.
Guides the creation of high-quality Model Context Protocol (MCP) servers to bridge LLMs with external APIs and services.
Implements comprehensive survival analysis and time-to-event modeling workflows using the scikit-survival library.
Enables advanced biomedical literature searches and programmatic data retrieval via the PubMed E-utilities REST API.
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