data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Generates high-quality AI images using leading models like FLUX, SDXL, and Ideogram through the fal.ai API.
Implements and manages neural networks that adapt, grow, or prune their topology during training to optimize capacity and prevent catastrophic forgetting.
Accelerates high-performance computing tasks by providing expert guidance on NVIDIA CUDA kernels, memory management, and parallel programming libraries.
Consults external AI models like Gemini and OpenAI to provide second opinions, code reviews, and alternative implementation plans.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold database for structural biology and drug discovery.
Builds, tests, and deploys specialized machine learning models for healthcare applications using clinical data and electronic health records.
Performs high-performance genomic interval analysis, coverage generation, and machine learning preprocessing using Rust and Python.
Enhances and transforms videos using advanced AI models for style transfer, upscaling, and object replacement.
Provides comprehensive documentation and implementation patterns for integrating fal.ai's generative AI models via JavaScript, Python, and REST APIs.
Generates professional cinematic videos from text descriptions using state-of-the-art models like Kling, Sora, and Runway.
Provides expert guidance and decision trees for selecting optimal fal.ai models based on quality, speed, and cost requirements.
Transforms, edits, and enhances images using state-of-the-art fal.ai models including FLUX, ControlNet, and advanced upscalers.
Streamlines data manipulation, information processing, and analytical workflows within Claude Code.
Optimizes Python codebases through systematic profiling, algorithmic efficiency, and advanced acceleration techniques.
Synthesizes category theory, compression-driven intelligence, and generative flow networks into a unified framework for advanced AI research and reasoning.
Standardizes how AI agents discover, reference, and compose skills using a progressive disclosure architecture.
Calculates geodesic paths, spherical trigonometry, and Riemannian manifold metrics for complex navigation and spatial modeling.
Enhances Clojure development with semantic code navigation and similarity search using vector embeddings.
Facilitates cross-domain knowledge synthesis using propagator-based networks to bridge conceptual gaps between different fields of study.
Implements 3-SAT reductions via colored subgraph isomorphism and non-backtracking geodesics for topological computing.
Generates balanced execution schedules by interleaving three deterministic color streams for parallel tasks and simulations.
Navigates complex mathematical and philosophical state spaces using Badiou’s event ontology and modal logic constraints.
Optimizes complex problem-solving through topological logic and advanced resolution patterns.
Validates and executes Aptos blockchain operations while managing data science notebooks in the World D ecosystem.
Integrates fal.ai audio models for high-accuracy speech-to-text, premium text-to-speech, and advanced voice cloning.
Facilitates advanced topological computation and chemputer configuration within the plurigrid ecosystem.
Manages AI research environments, evaluation pipelines, and hosted reinforcement learning runs through the Prime Intellect platform.
Generates rigorous, quantified probabilistic forecasts and scenario models for complex future events using Bayesian reasoning and superforecasting techniques.
Empowers Claude with expert-level statistical modeling, causal inference, and production-grade machine learning capabilities for enterprise data systems.
Implements Generative Flow Networks to sample diverse, high-reward candidates for molecule design, causal discovery, and combinatorial optimization.
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