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。
Processes and analyzes complex physiological data including ECG, EEG, and EDA for scientific research and health applications.
Secures backend applications against OWASP threats and ensures regulatory compliance through automated scanning and robust authentication patterns.
Facilitates advanced materials analysis, crystal structure manipulation, and computational workflows using the Python Materials Genomics library.
Facilitates the creation, debugging, and optimization of event-driven shell commands and automated workflows within Claude Code.
Conducts advanced RAN performance analysis and bottleneck detection using cognitive temporal reasoning and causal inference.
Guides developers through the end-to-end process of building high-quality Model Context Protocol (MCP) servers for AI agents.
Automatically generates capability manifests for skills and MCP servers using semantic analysis and structured extraction.
Automates comprehensive GitHub pull request reviews using specialized AI swarms for security, performance, and architecture analysis.
Enables Claude to perform AI-powered web searches with real-time information and source citations using Perplexity models.
Standardizes Git commit messages by using multiline strings instead of HEREDOC to ensure reliable shell execution.
Processes and analyzes massive tabular datasets with billions of rows using out-of-core DataFrame operations and lazy evaluation.
Standardizes and formats Claude's responses using specialized templates for structured data, accessible summaries, and professional documentation.
Integrates with the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental studies for biomarker discovery.
Designs scalable, robust software architectures using proven patterns, C4 modeling, and detailed capacity planning.
Manages Architecture Decision Records (ADRs) to document and track significant technology choices and design decisions over time.
Builds sophisticated Retrieval-Augmented Generation (RAG) systems to ground AI responses in external knowledge bases and private documentation.
Provides comprehensive testing patterns and boilerplate for Flutter applications, covering unit, widget, golden, and integration tests.
Extracts clean, clutter-free article and blog content from URLs by stripping away ads, navigation, and unnecessary UI elements.
Handles Claude Code errors gracefully with systematic recovery strategies and prevention techniques to maintain development momentum.
Creates distinctive, production-grade frontend interfaces with high design quality and a unique aesthetic.
Accesses the ClinicalTrials.gov API v2 to search, filter, and export global clinical research data for medical analysis.
Facilitates collaborative research ideation by generating hypotheses, identifying research gaps, and exploring interdisciplinary connections for scientific problem-solving.
Automates and manages secure connections between Claude Code and Logseq graphs via HTTP API, CLI, or MCP servers.
Manages complex RAN deployments and Kubernetes orchestration using cognitive intelligence for high-performance 5G network scalability.
Implements comprehensive Python testing strategies using pytest, mocking, and test-driven development best practices.
Enforces strict code formatting, DRY principles, and aggressive legacy code removal to maintain a high-quality, lean codebase.
Automatically detects frontend testing frameworks and generates comprehensive unit tests for components, functions, and modules.
Streamlines the creation, validation, and packaging of custom Claude Code skills using standardized templates and automation utilities.
Facilitates direct integration with the Google Gemini API for multi-modal content handling and context management within multi-model infrastructures.
Streamlines TypeScript data validation and schema modeling using the latest Zod v4 patterns and migration strategies.
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