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。
Builds sophisticated Retrieval-Augmented Generation systems to ground LLM responses with external knowledge and semantic search.
Retrieves and analyzes South Korean corporate disclosures, financial statements, and shareholder reports via the OpenDART REST API.
Provides structured patterns and best practices for crafting reliable system prompts for AI agents.
Develops and manages sophisticated LLM agents within the Treasure Data ecosystem using a YAML-based configuration workflow.
Enforces professional R coding standards, naming conventions, and Tidyverse-aligned function design patterns.
Optimizes R code through professional profiling, benchmarking, and implementation of high-performance backend patterns.
Provides expert guidance and implementation patterns for building robust, CRAN-compliant R packages.
Performs advanced Bayesian statistical modeling and causal inference using the brms and Stan ecosystem in R.
Facilitates methodologically rigorous ML and AI benchmarking experiments using xetrack and DuckDB.
Searches and downloads arXiv paper source code and LaTeX files for scientific research and analysis.
Manages machine learning experiment versioning and reproducibility using Git, DVC, and xetrack.
Accesses the NASA Astrophysics Data System (ADS) to search for literature, retrieve BibTeX citations, and track paper metadata.
Generates and optimizes high-quality prompts for modern large language models using advanced techniques like chain-of-thought, few-shot learning, and structured formatting.
Executes Python scripts and manages local Anaconda environments with integrated support for organized file structures and Chinese language visualization.
Simplifies scientific data analysis by managing labeled multidimensional arrays with Xarray's powerful indexing and metadata features.
Optimizes Mycelia multiomic analysis workflows for High Performance Computing (HPC) environments and SLURM workload managers.
Evaluates AI vendor proposals and solutions through a structured framework to mitigate risks, analyze pricing models, and guide strategic build-versus-buy decisions.
Standardizes the auditing of planning documents for the Mycelia multiomics platform by cross-referencing source code, tests, and infrastructure.
Implements Anthropic's official prompt engineering techniques to generate, optimize, and refine prompts for high-performance Claude AI interactions.
Builds production-grade Python agents using Pydantic for strict type validation and dependency injection.
Standardizes the integration, citation, and testing of external bioinformatics tools within the Mycelia multiomic framework.
Routes AI requests to various LLM providers including OpenAI, Grok, Groq, and DeepSeek using the SwiftOpenAI-CLI agent mode.
Routes reinforcement learning problems to specialized algorithms and implementation strategies based on task characteristics and environmental constraints.
Guides and routes LLM-related development tasks toward specialized patterns for prompt engineering, RAG, fine-tuning, and model optimization.
Builds production-grade multi-agent systems, AgentOS runtimes, and complex agentic workflows with native MCP integration.
Manages fast, reproducible scientific Python environments by unifying conda and PyPI ecosystems within a single workflow.
Performs constraint-based metabolic modeling and systems biology simulations to analyze cellular metabolism and phenotype predictions.
Extracts and converts PDF content into clean, LLM-ready markdown or text using AI-powered and high-fidelity local tools.
Streamlines the analysis, transformation, and visualization of Excel spreadsheets using advanced Python libraries within Claude Code.
Decodes intermediate transformer layer activations into human-readable vocabulary predictions to visualize model processing.
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