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。
Refines and condenses AI prompts to minimize token consumption while maximizing output quality and performance.
Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and performance evaluation.
Automates the generation of scheduler-aware phylogenomic workflows from genome assemblies using single-copy orthologs.
Extracts and validates structured data from scientific PDF collections for systematic reviews and meta-analyses.
Transforms vague natural language inputs into precision-engineered prompts for Claude, ChatGPT, Gemini, and other large language models.
Designs and implements sophisticated LLM applications using LangChain's modular framework for agents, memory, and multi-step workflows.
Automates the partitioning of datasets into training, validation, and testing sets to streamline machine learning workflows.
Builds interactive, publication-quality data visualizations using the D3.js library for any JavaScript environment.
Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and performance evaluation.
Generates high-quality speech audio locally on Apple Silicon using MLX acceleration and the Kokoro model.
Facilitates seamless interaction with the Gemini CLI to leverage Google Gemini models directly within the Claude Code environment.
Drafts publication-ready Results sections for quantitative sociology research based on established academic patterns.
Powers semantic search and contextual retrieval across local libraries of academic papers and markdown documents.
Automates systematic literature reviews for sociology and academic research using the OpenAlex API and structured screening workflows.
Optimizes LLM prompts for high-accuracy text classification through a systematic, evaluation-driven workflow.
Conducts rigorous, publication-ready statistical analysis in Stata for sociology and social science research.
Automates the creation of structured markdown reading notes from academic PDFs and EPUBs for sociology and social science research.
Drafts publication-ready methods and findings sections for qualitative research using advanced evidence presentation strategies.
Simplifies running, converting, and serving Large Language Models on Apple Silicon using the MLX framework.
Conducts systematic computational text analysis for sociology research using R or Python with a focus on validation and reproducibility.
Retrieves relevant past episodes and patterns from episodic memory to inform AI decision-making and task execution.
Conducts publication-ready quantitative sociological research using phased R workflows and rigorous econometric methods.
Performs differential gene expression analysis on bulk RNA-seq data using the Python implementation of DESeq2.
Accesses and integrates data from over 40 bioinformatics web services and databases using a unified Python API.
Provides comprehensive Python tools for astronomical data analysis, including celestial coordinates, physical units, and FITS file manipulation.
Integrates Google Gemini's advanced coding models into Claude Code for high-context refactoring, deep analysis, and automated file editing.
Sets up and executes probabilistic inference of ancestral geographic ranges on phylogenetic trees using BioGeoBEARS in R.
Accesses the Human Metabolome Database to retrieve chemical properties, clinical biomarkers, and spectral data for metabolomics research.
Automates scientific hypothesis generation and testing by combining observational data with literature insights using large language models.
Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.
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