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。
Evaluates scientific manuscripts and grant proposals using systematic methodology, statistical rigor, and ethical standards.
Provides seamless command-line access to major knowledge sources and technical documentation including Wikipedia, Stack Exchange, and RFC documents.
Accesses over 600 scientific tools and datasets to automate research workflows across bioinformatics, genomics, and drug discovery.
Processes and analyzes physiological signals including ECG, EEG, and EDA for psychophysiology research and clinical applications.
Generates and reviews production-ready Salesforce Apex code using 2025 best practices and a rigorous 150-point quality scoring system.
Automates the lifecycle of domain-specific subagents by enforcing frontmatter standards and rigorous quality control protocols.
Accesses and queries the Catalogue of Somatic Mutations in Cancer (COSMIC) to retrieve genomic data, mutational signatures, and cancer gene census information.
Generates high-converting automated email sequences for every stage of the customer lifecycle, from onboarding to sales launches.
Manages and synchronizes core agent rule files and project structures across multiple development environments.
Enables seamless programmatic access to UniProt for protein sequence retrieval, functional annotation, and biological database ID mapping.
Implements reinforcement learning workflows including agent training, custom environment design, and model evaluation using Stable Baselines3.
Generates publication-quality static, animated, and interactive visualizations using Python's foundational plotting library.
Creates distinctive, production-grade frontend interfaces with a focus on high-quality aesthetics and creative UI/UX.
Provides a comprehensive toolkit for creating, manipulating, and analyzing complex network structures and graph algorithms in Python.
Streamlines the implementation, evaluation, and deployment of classical machine learning models using the scikit-learn library.
Automates end-to-end scientific research workflows from data-driven hypothesis generation to publication-ready LaTeX manuscripts.
Validates the syntax and structural integrity of agent skills and commands to ensure error-free execution.
Builds and deploys serverless bioinformatics pipelines using the Latch SDK with specialized decorators and cloud data management.
Removes temporary files and output directories after successful deployments to maintain a clean and organized workspace.
Generates high-converting, personalized cold call scripts using a proven 5-step framework to improve prospecting outcomes.
Orchestrates the discovery phase for custom AI agents by conducting stakeholder interviews, researching industry frameworks, and generating structured requirement documents.
Manages annotated data matrices and metadata for single-cell genomics and large-scale biological datasets using the AnnData framework.
Generates and orchestrates specialized, domain-specific sub-agents to handle complex parallel tasks and expert reviews.
Simplifies molecular featurization by providing access to over 100 pre-trained embeddings and hand-crafted featurizers for machine learning.
Architects production-grade Vue 3 applications using TypeScript, the Composition API, and testing-first methodologies.
Applies medicinal chemistry filters, drug-likeness rules, and structural alerts for molecular prioritization in drug discovery.
Automates protein sequence optimization and experimental validation through a cloud-based wet-lab platform.
Processes genomic datasets including sequence alignments, variants, and reference sequences using a Pythonic interface to htslib.
Integrates local LLM inference via Ollama to reduce API costs and enhance data privacy during development and CI/CD pipelines.
Applies official Anthropic brand colors and typography to visual artifacts and documents to ensure design consistency.
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