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。
Streamlines the lifecycle of Claude Code extensions by providing structured guidance for building plugins, commands, agents, and MCP integrations.
Scaffolds epic documentation and directory structures automatically by extracting stories and objectives from your Product Requirements Document.
Automates biomedical literature searches and data retrieval from the PubMed database using advanced MeSH queries and the E-utilities API.
Streamlines the design and architecture of domain-specific AI agents using Claude Agent SDK patterns.
Automates and routes Spec-Driven Development workflows by detecting project status and recommending the next logical development step.
Guides the creation of scalable, maintainable backend systems using industry-standard design patterns and architectural principles.
Automates laboratory workflows and controls liquid handling robots, plate readers, and analytical equipment through a unified Python interface.
Generates localized, engaging newsletter content for the Catskills community using a warm and neighborly persona.
Architects scalable distributed systems using industry-standard decomposition patterns, inter-service communication strategies, and resilient data management.
Implements high-performance asynchronous Python patterns using asyncio and concurrent programming techniques.
Master algorithm design, common patterns, and optimization techniques to solve complex computational challenges efficiently.
Deletes Slack messages directly through Claude Code using either user or bot tokens with built-in safety confirmations.
Analyzes Claude Code interaction history to identify workflow patterns, recurring errors, and opportunities for automation.
Manages the discovery, configuration, and security of Model Context Protocol (MCP) servers to extend Claude's capabilities.
Orchestrates a structured 7-phase change management workflow including impact analysis, TDD delta builds, and regression verification.
Implements and configures server-side property editor schemas for Umbraco CMS backoffice customizations.
Develops high-performance reinforcement learning systems with optimized PPO training, vectorized simulations, and multi-agent support.
Retrieves the exact UTC date and time via real-time command execution to ensure accurate temporal context for AI-driven tasks.
Facilitates seamless conversion between ESS-DIVE dataset identifiers and DOIs while providing geographic visualization tools.
Secures backend applications against OWASP threats and ensures regulatory compliance through automated scanning and robust authentication patterns.
Transforms academic papers into interactive websites, professional presentation videos, and print-ready conference posters automatically.
Transforms technical git commits into polished, user-friendly changelogs for customers and stakeholders.
Processes and prepares whole slide pathology images for deep learning and digital pathology workflows.
Streamlines machine learning workflows in Python by providing expert guidance on scikit-learn algorithms, data preprocessing, and production-ready pipelines.
Automates the gathering of external sources and synthesis of research notes for developing new specialized skills.
Guides development teams through increasing levels of agentic maturity from manual prompting to fully autonomous zero-touch engineering.
Analyzes mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.
Guides the Red-Green-Refactor development cycle for .NET applications to ensure robust, testable, and maintainable code.
Builds, validates, and deploys scalable AWS cloud infrastructure using the Cloud Development Kit with TypeScript and Python.
Executes implementation plans through controlled task batches and mandatory verification checkpoints.
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