data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Validates financial calculations for XIRR and management fees to ensure accuracy and parity with industry-standard Excel models.
Recommends optimized experiment plans and development tasks by analyzing historical project data across machine learning and GPU computing domains.
Enforces rigorous technical validation and user acceptance testing for data science workflows to ensure reproducible results.
Debugs and verifies Jupyter, Marimo, and Jupytext notebooks by enforcing rigorous execution and traceback checks.
Enforces rigorous output-first verification and subagent delegation for reliable data science workflows in Claude Code.
Profiles datasets and generates structured analysis task breakdowns for data science workflows.
Automates numerical computing, matrix operations, and scientific visualization using MATLAB and GNU Octave.
Compresses verbose agent memories into a dense, symbolic format for efficient knowledge retrieval and context management.
Implements and trains autonomous agents using nine specialized reinforcement learning algorithms for self-improving behavior.
Facilitates complex decision-making through a multi-agent debate simulation that analyzes problems from diverse cognitive perspectives.
Train, deploy, and manage distributed neural networks across sandboxed E2B environments using multiple architectures and federated learning.
Implements persistent, high-performance memory and learning patterns for AI agents using AgentDB.
Integrates Google's Gemini-3-pro-preview model into Claude Code for multimodal analysis, massive context processing, and real-time grounding.
Enhances Claude's problem-solving capabilities using advanced search strategies like Beam Search and Monte Carlo Tree Search.
Designs, optimizes, and implements robust Apache Airflow DAGs using industry-standard operators and scheduling best practices.
Implements high-performance adaptive learning and experience replay for AI agents using the AgentDB vector engine.
Streamlines distributed data processing by providing standardized PySpark patterns and performance best practices.
Orchestrates the creation of publication-quality AI and ML benchmark reports with high-resolution diagrams and professional PDF exports.
Analyzes German U19 badminton ranking data from the DBV directly within Claude Code.
Automates the discovery and summarization of relevant arXiv research papers based on specific interests in physics and machine learning.
Integrates React and Vite applications with the Bodhi JS SDK to enable local LLM chat capabilities and seamless authentication.
Optimizes Claude's output quality using research-backed psychological framing and statistical pattern-matching techniques.
Automates complex spreadsheet creation, financial modeling, and data analysis with formula integrity and industry-standard formatting.
Trains, deploys, and manages distributed neural networks using E2B sandboxes and custom architectures.
Performs exact symbolic mathematics in Python, including calculus, algebra, and complex equation solving.
Transforms vague requirements into precise, effective prompts through a structured framework of systematic analysis and iterative refinement.
Trains and deploys self-learning autonomous agents using nine reinforcement learning algorithms to optimize behavior through experience.
Simplifies the creation, orchestration, and deployment of production-grade AI agents using Google's Agent Development Kit.
Analyzes datasets, calculates statistical metrics, and generates visual insights to drive data-informed decisions.
Automates the creation, analysis, and formatting of Excel spreadsheets using programmatic data manipulation and visualization techniques.
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