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.
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.
Facilitates the development of AI-powered applications using the OpenAI SDK, covering GPT-5 models, Responses API, and advanced tool calling.
Processes and prepares data files for AI agent testing and deployment workflows.
Transcribes audio and video files into text via a specialized Speech2Text API with support for JWT authentication and task polling.
Implements hierarchical spatial indexing with deterministic GF(3) color derivation for geospatial analysis and visualization.
Verifies mathematical claims and generates Lean 4 formal proofs or counterexamples using the Harmonic Aristotle API.
Enhances decision-making through a multi-model adversarial reasoning protocol and reliability-weighted aggregation.
Provides expert guidance and routine lookup for the ctrlsys control systems library, covering LQR design, Kalman filtering, and system identification.
Provides expert guidance on control system design, analysis, and identification using the ctrlsys library.
Extracts structured training pairs from academic peer reviews and source documents to build high-quality datasets for LLM fine-tuning.
Develops production-grade Python code with a focus on type safety, fail-fast logic, and rigorous testing for research environments.
Automates multi-stage research idea generation and evaluation using graph-guided search and tournament-style ranking.
Optimizes multi-agent AI systems through intelligent coordination, performance profiling, and cost-aware orchestration.
Automates the creation of production-grade Pegasus scientific workflows from high-level pipeline descriptions.
Visualizes solar observation data, EUV imagery, and machine learning model outputs using SunPy and Matplotlib.
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