data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Performs vector similarity search and hierarchical clustering for agent skills using P-adic ultrametrics and MLX-powered embeddings.
Ensures methodological rigor in qualitative research by enforcing isolation rules and phase-aware guidance through specialized AI agents.
Facilitates structured, step-by-step thinking for complex analytical decisions and theoretical framework construction using the Sequential Thinking MCP.
Optimizes interaction sequences using information theory to maximize learning efficiency and pattern recognition.
Integrates advanced topological graph theory and bicomodule structures into Claude for complex scientific computing and algebraic modeling.
Optimizes interaction sequences using information theory and active inference to maximize learning efficiency and information gain.
Performs high-performance geospatial analysis, H3 hexagonal indexing, and PostGIS-compatible spatial SQL queries using DuckDB.
Provides high-performance LLVM-level automatic differentiation for Julia code on CPU and GPU architectures.
Automates high-fidelity PDF and document conversion by selecting the optimal parsing method for academic and qualitative research data.
Converts complex PDFs, academic papers, and tables into structured formats using intelligent tool selection and VLM-based parsing.
Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI-assisted analysis.
Facilitates deep analytical reasoning and navigates theoretical paradoxes in qualitative research using systematic thinking and dialectical wisdom.
Bridges Scholze-Clausen condensed mathematics and analytic stacks to sheaf neural networks via 6-functor formalisms.
Enforces GF(3) color conservation and deterministic traversal across complex data navigator compositions.
Constructs high-fidelity psychological models from interaction patterns to predict intellectual trajectories and maintain authentic voice consistency.
Converts audio recordings and PDF documents into structured markdown for qualitative research and analysis.
Navigates complex research contradictions and integrates conflicting data patterns using contemplative reasoning frameworks.
Builds and validates high-fidelity psychological models to predict behaviors and generate authentic cognitive responses matching a subject's unique patterns.
Builds, trains, and validates high-fidelity psychological models to predict and generate authentic cognitive responses.
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.
Extracts behavioral patterns and interaction sequences to train cognitive surrogate systems and predictive models.
Extracts behavioral patterns and trains cognitive learning agents from interaction sequences.
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.
Systematically refines and validates research tools through multi-phase iterative testing and rigorous data-driven evaluation.
Facilitates exploratory abductive reasoning and hypothesis testing through interactive REPL environments.
Orchestrates cost-effective qualitative research workflows using Kimi K2.5 models and advanced context caching strategies.
Powers iterative hypothesis testing and exploratory abductive inference through an interactive REPL environment.
Facilitates structured, step-by-step thinking for complex analytical decisions and qualitative research framework development.
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