data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Orchestrates sophisticated multi-agent systems with intelligent routing, handoffs, and collaborative workflows across AI providers.
Recalibrates upcoming training sessions dynamically based on recent performance, user feedback, and safety constraints.
Enables building, training, and optimizing quantum circuits and hybrid quantum-classical machine learning models with automatic differentiation.
Evaluates scientific manuscripts and grant proposals for methodological rigor, statistical accuracy, and reporting standards.
Automates the creation, editing, and analysis of professional spreadsheets with support for complex formulas and financial modeling standards.
Integrates Google Gemini's advanced multimodal capabilities to process, analyze, and generate professional audio, image, and video content directly within your workflow.
Analyzes Interactive Brokers CSV statements to uncover trading edges, identify risk management patterns, and generate professional performance reports.
Creates, modifies, and analyzes Excel spreadsheets with production-grade formulas, professional formatting, and financial modeling standards.
Identifies unusual patterns and outliers in complex datasets using advanced machine learning algorithms.
Optimizes mean-reversion trading strategy parameters through real-time performance analysis and pattern identification.
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Performs hydrological modeling and streamflow forecasting using Julia-based classical and machine learning models.
Optimizes AI agent performance through Anthropic-based context engineering and prompt structure standards.
Converts text and long-form markdown documents into high-quality audio locally using the Kokoro-82M model optimized for Apple Silicon.
Optimizes LLM prompts to minimize token usage, reduce operational costs, and enhance model response quality through automated refinement.
Integrates with the NCBI Gene Expression Omnibus (GEO) to search, download, and analyze high-throughput functional genomics datasets.
Refines and compresses LLM prompts to minimize token usage, lower operational costs, and maximize response quality.
Provides specialized functions for hydrological modeling and climate data processing within the Julia environment.
Guides users through a scientifically rigorous five-phase hypothesis testing process to eliminate bias and p-hacking in data analysis.
Accesses the ZINC database of 230M+ purchasable compounds for drug discovery, molecular docking, and chemical informatics.
Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development and bias mitigation.
Performs automated exploratory data analysis and generates comprehensive markdown reports for over 200 scientific file formats.
Standardizes SLURM job output naming by mapping channel numbers to biological marker names for the KINTSUGI pipeline.
Implements systematic evaluation strategies for AI applications using automated metrics, human feedback loops, and LLM-as-judge patterns.
Implements industry-standard gradient boosting algorithms for high-performance machine learning on tabular and structured datasets.
Optimizes large-scale data staging on HPC environments using rsync, bash, and SLURM to ensure data integrity and script reliability.
Engineers and optimizes high-quality LLM prompts across multiple models using established best practices and systematic refinement techniques.
Automates Google Vertex AI multimodal operations to process, analyze, and transform media content within your development environment.
Equips Claude with specialized knowledge for statistical analysis, regression modeling, and reproducible data science script organization.
Translates CODEX/Akoya experiment.json metadata into the KINTSUGI ExperimentConfig format with precise field and wavelength mapping.
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