发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Implements high-performance communication frameworks using hyperbolic embeddings and O(log N) routing for large-scale distributed systems.
Validates triadic color systems by comparing predicted efference copies against actual observed stream data to minimize error.
Implements Chemical Organization Theory to model, simulate, and verify self-maintaining autopoietic systems through reaction-diffusion dynamics.
Implements advanced Möbius inversion on posets and lattices to solve complex combinatorial, graph-theoretic, and number-theoretic problems.
Analyzes OpenStreetMap road networks and geographic data using topological graph structures and GF(3) validation.
Generates group-theoretic structures and computational algebraic objects for the Plurigrid ASI ecosystem.
Extracts mathematical LaTeX from images and PDFs using advanced OCR and balanced ternary checkpoints for reliable structured data conversion.
Transforms, edits, and enhances images using state-of-the-art fal.ai models including FLUX, ControlNet, and advanced upscalers.
Provides expert guidance and decision trees for selecting optimal fal.ai models based on quality, speed, and cost requirements.
Builds high-performance, GPU-accelerated video processing workflows using FFmpeg, OpenCV, and serverless infrastructure.
Generates professional cinematic videos from text descriptions using state-of-the-art models like Kling, Sora, and Runway.
Streamlines computer vision development with expert patterns for image processing, video analysis, and deep learning inference using OpenCV.
Provides comprehensive documentation and implementation patterns for integrating fal.ai's generative AI models via JavaScript, Python, and REST APIs.
Bridges Next.js applications with Modal.com for high-performance AI inference, GPU workloads, and heavy serverless compute.
Enhances and transforms videos using advanced AI models for style transfer, upscaling, and object replacement.
Enhances AI reasoning by implementing two-stage deliberate attention mechanisms to filter context and reduce sycophancy.
Computes molecular complexity using Lee Cronin's Assembly Theory to identify biosignatures and calculate minimal construction pathways.
Implements Schmidhuber's compression-based intrinsic reward to drive curiosity and exploration in learning systems.
Generates sheaf-theoretic models and verifies logical propositions using Kripke-Joyal forcing semantics.
Implements advanced topological coordination and distributed reasoning using sheaf theory for multi-agent systems.
Implements Darwin Gödel Machine patterns to enable autonomous code evolution and self-improvement for AI agents.
Optimizes complex graph structures by identifying and removing redundant dependencies while maintaining critical spectral connectivity.
Implements directional simplicial neural networks with E(n)-equivariance and persistent homology for advanced topological data analysis.
Navigates complex mathematical and philosophical state spaces using Badiou’s event ontology and modal logic constraints.
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.
Integrates Chicken Scheme with Geiser to provide graph 3-coloring, collaborative S-expression patterns, and Penrose diagram generation.
Facilitates cross-domain knowledge transfer using propagator networks and deterministic parallel processing.
Enhances Clojure development with semantic code navigation and similarity search using vector embeddings.
Enhances Clojure development by providing semantic code navigation and similarity search via CIDER embeddings.
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