Data Science & ML Claude 技能

Qualitative Analysis Orchestrator

Optimizes model selection, API cost estimation, and batch processing strategies for AI-assisted qualitative document analysis.

Qual-Shared Research Infrastructure

Manages the foundational state, logging, and workflow enforcement for AI-assisted qualitative research projects.

Qualitative Reflection & Reasoning

Facilitates deep analytical reasoning and navigates theoretical paradoxes in qualitative research using systematic thinking and dialectical wisdom.

Qualitative Research Methodological Rules

Enforces methodological rigor in AI-assisted qualitative research through automated rule generation, saturation tracking, and analytical branching.

Qualitative Data Ingestion

Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI-assisted analysis.

Socratic Research Initialization

Initializes qualitative research projects through a Socratic onboarding process that establishes philosophical foundations and methodological frameworks.

Deep Reasoning & Qualitative Analysis

Facilitates structured, step-by-step thinking for complex analytical decisions and qualitative research framework development.

Qualitative Research Coherence Check

Ensures methodological rigor by aligning philosophical assumptions, language usage, and analytical practices in AI-assisted research.

Methodological Coherence Check

Validates alignment between research epistemology, ontology, and analytical practice to ensure rigorous qualitative research outcomes.

Qualitative Coding Workflow

Orchestrates systematic document coding for qualitative research through automated batch processing and audit trail generation.

Gioia Methodology Framework

Constructs, validates, and exports hierarchical data structures for qualitative research using the Gioia methodology.

ChIP-seq Biological Quality Control

Performs specialized biological validation for ChIP-seq data by calculating cross-correlation metrics and fraction of reads in peaks.

Interview Ingest & Data Prep

Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI analysis.

Qualitative Research Project Setup

Initializes qualitative research projects by establishing philosophical foundations through Socratic dialogue and creating structured epistemic infrastructure.

Paradox Navigation

Resolves conflicting research patterns and theoretical tensions using contemplative, non-dual reasoning frameworks.

Gioia Qualitative Research Framework

Constructs and validates rigorous three-level Gioia methodology hierarchies for qualitative data analysis and academic publication.

Nushell Data Processing

Enables high-performance data manipulation and analysis in Nushell using Polars DataFrames and LazyFrames.

ReasoningBank with AgentDB

Implement high-performance adaptive learning and memory distillation for autonomous agents using AgentDB's ultra-fast vector architecture.

Hotvect Data Dependency Downloader

Automates the retrieval of training and test data dependencies from S3 for local machine learning model development and backtesting.

SageMaker Result Downloader

Automates the retrieval of SageMaker backtest results from Amazon S3 for local analysis and performance comparison.

Hotvect Debug Command Storage

Captures and stores failed Hotvect command invocations as executable shell scripts for seamless debugging and reproduction.

Scientific Critical Thinking

Evaluates research rigor, methodology, and statistical validity to perform critical analysis of scientific claims.

Hotvect Training Setup

Streamlines the configuration and validation of Hotvect algorithm training runs for Vowpal Wabbit.

Databricks Feature Engineering

Streamlines the creation, management, and serving of scalable feature stores within the Databricks MLOps ecosystem.

MLflow Experiment Tracking

Optimizes machine learning workflows on Databricks by implementing structured MLflow experiment tracking and model governance patterns.

ETE Toolkit for Phylogenomics

Manipulates, analyzes, and visualizes phylogenetic trees and genomic data with the Environment for Tree Exploration (ETE) framework.

ML Monitoring for Databricks

Implements automated model monitoring, drift detection, and performance tracking for production machine learning systems on Databricks.

Databricks Delta Live Tables

Build and manage declarative, self-healing data pipelines with built-in quality enforcement and automated lineage tracking.

Statistics & Mathematics for Data Science

Provides foundational mathematical tools and statistical methods for data analysis, hypothesis testing, and machine learning architecture.

Python Programming for Data Engineering

Develops production-grade Python scripts for scalable ETL pipelines and high-performance data processing systems.