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。
Extracts clean, readable text from web URLs by removing advertisements, navigation menus, and distractions.
Enhances the quality, resolution, and clarity of screenshots and images for professional documentation and media.
Synchronizes your local Claude Code skills library with the latest upstream updates and community improvements.
Validates architectural decisions by simulating extreme operational constraints and volume scenarios to identify hidden technical bottlenecks.
Automates the extraction, transcription, and cleaning of YouTube video subtitles and captions into readable text.
Builds complex, production-grade Claude.ai HTML artifacts using modern frontend frameworks like React and shadcn/ui.
Generates sophisticated, multi-component Claude.ai artifacts using React, Tailwind CSS, and shadcn/ui for complex state-driven interfaces.
Generates publication-quality statistical graphics and complex multi-panel data visualizations using the Seaborn Python library.
Automates complex subscription lifecycles, recurring payments, and dunning management workflows for SaaS applications.
Directs developers to the most effective problem-solving techniques by diagnosing specific types of technical roadblocks and bottlenecks.
Performs fast, scalable non-linear dimensionality reduction and manifold learning for high-dimensional data visualization and clustering.
Implements PCI DSS standards and secure payment card data handling practices to protect sensitive financial information.
Traces software bugs backward through the execution chain to identify and fix original triggers at the source.
Provides a systematic framework for evaluating the methodology, statistics, and integrity of scientific manuscripts and grant proposals.
Transforms educational content like tutorials and transcripts into concrete, shippable implementation cycles and iterative learning quests.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using Python's statsmodels library.
Conducts systematic academic literature reviews across multiple scientific databases with automated citation verification and professional formatting.
Applies the Red-Green-Refactor TDD cycle to verify and bulletproof process documentation against AI rationalizations.
Generates testable, evidence-based scientific hypotheses and experimental designs from observations or literature.
Prevents common software testing pitfalls like over-mocking, production code pollution, and incomplete test data structures.
Queries and explores SAP OData endpoints to fetch business data, inspect entity structures, and retrieve service metadata.
Implements a rigorous, hypothesis-driven scientific method to solve complex software bugs and architectural challenges.
Mandates a rigorous pre-planning checkpoint that identifies missing prerequisites before any engineering task or architectural design begins.
Standardizes sub-agent prompt creation using a structured framework to improve task success and multi-agent orchestration.
Enforces a rigorous verification protocol with evidence-based checklists to ensure tasks are fully completed and validated before submission.
Analyzes technical systems and architectural problems through first principles, systems thinking, and engineering optimization frameworks.
Analyzes technical systems using first principles and systems engineering to optimize performance, scalability, and reliability.
Analyzes complex technical systems and architectures using first principles and systems thinking to optimize performance and reliability.
Configures workspace environments to automatically prioritize established scientific research patterns, database access protocols, and package usage guidelines.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank to perform drug discovery research, interaction analysis, and target identification.
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