Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Converts audio recordings and PDF documents into structured markdown for qualitative research and analysis.
Implements high-performance adaptive learning and experience replay for self-improving AI agents using AgentDB.
Optimizes model selection, API cost estimation, and batch processing strategies for AI-assisted qualitative document analysis.
Manages the foundational state, logging, and workflow enforcement for AI-assisted qualitative research projects.
Initializes qualitative research projects through a Socratic onboarding process that establishes philosophical foundations and methodological frameworks.
Enforces methodological rigor in AI-assisted qualitative research through automated rule generation, saturation tracking, and analytical branching.
Facilitates deep analytical reasoning and navigates theoretical paradoxes in qualitative research using systematic thinking and dialectical wisdom.
Transforms high-level requirements into production-ready system prompts for complex single and multi-agent AI systems.
Deploys and trains advanced reinforcement learning algorithms for autonomous agents to optimize behavior through experience.
Ensures methodological rigor by aligning philosophical assumptions, language usage, and analytical practices in AI-assisted research.
Orchestrates systematic document coding for qualitative research through automated batch processing and audit trail generation.
Performs advanced molecular analysis, descriptor calculation, and chemical informatics using the RDKit library.
Facilitates structured, step-by-step thinking for complex analytical decisions and qualitative research framework development.
Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI-assisted analysis.
Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI analysis.
Constructs, validates, and exports hierarchical data structures for qualitative research using the Gioia methodology.
Constructs and validates rigorous three-level Gioia methodology hierarchies for qualitative data analysis and academic publication.
Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible algorithms.
Resolves conflicting research patterns and theoretical tensions using contemplative, non-dual reasoning frameworks.
Validates alignment between research epistemology, ontology, and analytical practice to ensure rigorous qualitative research outcomes.
Converts complex PDFs, academic papers, and tables into structured formats using intelligent tool selection and VLM-based parsing.
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.
Automates the retrieval of training and test data dependencies from S3 for local machine learning model development and backtesting.
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.
Provides PhD-level guidance on research ethics, IRB compliance, and data privacy analysis for study protocols and algorithmic models.
Automates the retrieval of SageMaker backtest results from Amazon S3 for local analysis and performance comparison.
Automates the creation of robust data cleaning and preprocessing pipelines for Python-based data science workflows.
Standardizes variable summation and entity aggregation within the PolicyEngine microsimulation framework.
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