data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Analyzes and extracts structured insights from video files using AI-powered understanding and timestamped key moment identification.
Converts audio and video files into text transcripts with word-level timestamps using WhisperX.
Refactors trading system logic to transform rigid trade rejections into intelligent, constraint-based position sizing.
Implements comprehensive audio processing and text-to-speech generation using the Google Gemini API.
Analyzes and extracts insights from images, videos, and audio files using advanced AI models.
Transforms raw datasets into professional-grade charts, graphs, and visual plots using intelligent data analysis.
Transcribes audio files locally using whisper.cpp with CUDA acceleration for high-performance speech-to-text conversion.
Tracks experiment parameters, results, and environment snapshots to ensure full reproducibility and systematic iteration.
Prevents false positive pattern recognition in data and visual analysis by distinguishing genuine signals from cognitive illusions.
Facilitates the development of AI-powered applications using the OpenAI SDK, covering GPT-5 models, Responses API, and advanced tool calling.
Streamlines academic research data analysis by enforcing reproducible dbt pipelines and interactive Streamlit dashboards.
Facilitates reproducible academic research and data pipelines using dbt and Streamlit while enforcing rigorous data integrity standards.
Extracts structured training examples from document sets to create high-quality datasets for teaching LLMs specific tasks or styles.
Implements and optimizes reinforcement learning workflows using the Stable Baselines3 PyTorch library.
Implements self-improving code architectures that use formal proofs and evolutionary search to safely enhance system utility.
Implements a decoupled architecture for pre-computing machine learning predictions at scheduled intervals to optimize costs and serving latency.
Implements high-throughput machine learning inference patterns for processing large-scale datasets on a scheduled basis.
Quantifies uncertainty in estimates by generating plausible ranges to enable more reliable data-driven decision making.
Initializes a professional Quarto environment for survey data analysis using Python, uv, and Typst PDF pipelines.
Identifies and manages risks in fat-tailed distributions where extreme events occur more frequently than standard models predict.
Automates the generation of professional Quarto PDF reports and PowerPoint presentations from CSV survey data.
Implements hierarchical spatial indexing with deterministic GF(3) color derivation for geospatial analysis and visualization.
Adjusts and optimizes aggregated probability forecasts to compensate for crowd conservatism and improve predictive accuracy.
Identifies long-term societal and structural shifts through bottom-up pattern detection and massive data aggregation.
Conducts professional-grade biomedical literature searches and manages citations using the PubMed database.
Standardizes vector memory workflows and MCP tool interactions for persistent codebase intelligence and context management.
Quantifies uncertainty and assesses risk distributions by running thousands of probabilistic scenarios with random variable inputs.
Analyzes and designs self-sustaining systems through the lens of collective catalysis and network closure.
Enables seamless model-to-model collaboration by delegating research, code reviews, and architectural validation to Google Gemini.
Verifies mathematical claims and generates Lean 4 formal proofs or counterexamples using the Harmonic Aristotle API.
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