data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Facilitates reflexive qualitative data analysis through dialogical questioning and multi-stage visible reasoning.
Converts audio recordings and PDF documents into structured markdown for qualitative research and analysis.
Implements a compositional AI framework based on category theory and GF(3) triadic balance for deterministic, self-modifying agent architectures.
Facilitates deep analytical reasoning and navigates theoretical paradoxes in qualitative research using systematic thinking and dialectical wisdom.
Manages the foundational state, logging, and workflow enforcement for AI-assisted qualitative research projects.
Orchestrates cost-effective qualitative research workflows using Kimi K2.5 models and advanced context caching strategies.
Enforces methodological rigor in AI-assisted qualitative research through automated rule generation, saturation tracking, and analytical branching.
Optimizes model selection, API cost estimation, and batch processing strategies for AI-assisted qualitative document analysis.
Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI-assisted analysis.
Deploys and trains advanced reinforcement learning algorithms for autonomous agents to optimize behavior through experience.
Initializes qualitative research projects through a Socratic onboarding process that establishes philosophical foundations and methodological frameworks.
Facilitates structured, step-by-step thinking for complex analytical decisions and qualitative research framework development.
Performs advanced molecular analysis, descriptor calculation, and chemical informatics using the RDKit library.
Ensures methodological rigor by aligning philosophical assumptions, language usage, and analytical practices in AI-assisted research.
Constructs and validates rigorous three-level Gioia methodology hierarchies for qualitative data analysis and academic publication.
Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI analysis.
Validates alignment between research epistemology, ontology, and analytical practice to ensure rigorous qualitative research outcomes.
Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible algorithms.
Constructs, validates, and exports hierarchical data structures for qualitative research using the Gioia methodology.
Orchestrates systematic document coding for qualitative research through automated batch processing and audit trail generation.
Navigates complex research contradictions and integrates conflicting data patterns using contemplative reasoning frameworks.
Provides comprehensive tools for astronomical data analysis, including coordinate transformations, unit conversions, and FITS file manipulation.
Builds and trains machine learning models on genomic interval data to generate embeddings for regions, single cells, and metadata.
Captures and stores failed Hotvect command invocations as executable shell scripts for seamless debugging and reproduction.
Streamlines the configuration and validation of Hotvect algorithm training runs for Vowpal Wabbit.
Automates the retrieval of SageMaker backtest results from Amazon S3 for local analysis and performance comparison.
Provides PhD-level guidance on research ethics, IRB compliance, and data privacy analysis for study protocols and algorithmic models.
Automates the retrieval of training and test data dependencies from S3 for local machine learning model development and backtesting.
Builds and validates the three-level Gioia data structure for systematic qualitative research analysis and academic publication.
Automates the creation of robust data cleaning and preprocessing pipelines for Python-based data science workflows.
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