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。
Adjusts and optimizes aggregated probability forecasts to compensate for crowd conservatism and improve predictive accuracy.
Architects autonomous AI agent systems using structured reasoning patterns, memory management, and resilient tool integration.
Quantifies the accuracy of probabilistic predictions to improve decision-making and calibration through systematic feedback.
Converts Snakemake and Nextflow pipelines into robust Pegasus workflows for high-performance computing environments.
Downloads solar observation data from SDO, STEREO, and Solar Orbiter missions for scientific analysis and machine learning.
Establishes rigorous and defensible ground truth labels for evaluation datasets based on authoritative guidelines.
Streamlines academic research data analysis by enforcing reproducible dbt pipelines and interactive Streamlit dashboards.
Facilitates reproducible academic research and data pipelines using dbt and Streamlit while enforcing rigorous data integrity standards.
Implements continuous model updates and incremental learning patterns to handle evolving data streams without full retraining.
Extracts structured training examples from document sets to create high-quality datasets for teaching LLMs specific tasks or styles.
Leverages the data flywheel mental model to build compounding competitive advantages through automated machine learning and user-generated signals.
Corrects probability judgments by integrating statistical base rates with case-specific information to avoid common cognitive biases.
Automates the generation of professional Quarto PDF reports and PowerPoint presentations from CSV survey data.
Initializes a professional Quarto environment for survey data analysis using Python, uv, and Typst PDF pipelines.
Performs systematic testing of input variables to identify key drivers and assess model risk across finance, engineering, and strategy.
Architects reliable, production-ready AI agent workflows using constrained loops and proven reliability patterns.
Enables high-speed chat completions via Groq Cloud and local text embeddings through Ollama for efficient RAG workflows.
Implements production-grade deep learning training loops using battle-tested architectural patterns for optimized performance and stability.
Mitigates cognitive bias in decision-making by prioritizing statistical base rates over vivid, anecdotal evidence.
Guides the selection of optimal machine learning algorithms by analyzing problem structure, data properties, and production constraints.
Performs systematic qualitative thematic analysis on document collections to extract deep structural insights and categorized themes.
Transcribes audio and video files locally using the OpenAI Whisper CLI without the need for an API key.
Conducts autonomous, institutional-grade financial analysis using multi-guru perspectives and advanced composite scoring.
Build and deploy production-ready multi-agent systems with MCP integration and automated workflows.
Provides comprehensive frameworks and best practices for adapting foundation models to specialized domains using full fine-tuning and parameter-efficient methods.
Automates systematic literature screening using the PRISMA 2020 framework and cost-effective Groq LLMs.
Prevents false positive pattern recognition in data and visual analysis by distinguishing genuine signals from cognitive illusions.
Identifies and mitigates the tendency to see meaningful patterns in random data streaks or clusters.
Enables Claude to identify and mitigate logical errors caused by focusing on visible successes while ignoring hidden failures.
Enhances decision-making by identifying statistical reversion in performance data and preventing false causal interpretations.
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