Data Science & ML Claudeスキル

Curiosity-Driven Learning

Implements intrinsic motivation for AI agents using Schmidhuber's formal theory of creativity and compression progress.

Agent-o-rama Learning & Pattern Extraction

Trains cognitive agents to extract behavioral, temporal, and network patterns from complex interaction sequences.

Three-Match Algorithm Gadget

Facilitates 3-SAT reductions to colored subgraph isomorphism using non-backtracking geodesic gadgets and Möbius filtering.

SplitMix Ternary Streams

Extends splittable random number generation with GF(3) balanced ternary streams for parallel triadic systems.

Gödel Machine Self-Improvement

Implements self-improving AI systems using formal verification and evolutionary search to safely enhance agent performance.

JaxLife Open-Ended Simulator

Simulates agentic artificial life and emergent behaviors within Turing-complete programmable environments using JAX.

Local Feedforward Learning

Implements the Forward-Forward algorithm and local contrastive learning paradigms to train neural networks without backpropagation.

Agent-o-Rama Learning Engine

Extracts complex behavioral patterns and trains predictive learning agents from interaction sequences using multi-interpreter analysis.

JaxLife Open-Ended Simulation

Implements high-performance agentic simulators using JAX for researching emergent behaviors and open-ended evolution.

Derived Categories & Homological Algebra

Implements advanced homological algebra frameworks including chain complexes, derived functors, and triangulated categories for BCI signal processing.

Categorical Composition Architecture

Implements mathematical category theory abstractions to enable compositional learning and structured parameter transfer in AI models.

Emergent Role Assignment

Orchestrates spontaneous role assignment and hierarchical self-organization in multi-agent systems using topological and chemical organization principles.

Senior Data Scientist

Empowers Claude with expert-level statistical modeling, causal inference, and production-grade machine learning capabilities for enterprise data systems.

fal.ai Text-to-Image

Generates high-quality AI images using leading models like FLUX, SDXL, and Ideogram through the fal.ai API.

Fal.ai Performance & Cost Optimizer

Optimizes fal.ai AI model deployments for maximum speed, minimal latency, and reduced infrastructure costs.

fal.ai Image-to-Video Animation

Animates static images into high-quality cinematic videos using leading AI models like Kling, Luma, and Runway via the fal.ai API.

Probabilistic Forecasting Analyst

Generates rigorous, quantified probabilistic forecasts and scenario models for complex future events using Bayesian reasoning and superforecasting techniques.

FFmpeg & OpenCV Integration Guide

Facilitates seamless video processing pipelines by integrating FFmpeg's robust I/O with OpenCV's powerful image manipulation capabilities.

Keboola Data App Developer

Develops and optimizes Streamlit data applications for the Keboola platform using a robust validate-build-verify workflow.

Cognitive Surrogate

Builds, trains, and validates high-fidelity psychological models from interaction patterns to simulate cognitive behavior and intellectual trajectories.

Möbius Path Filter

Classifies and filters dependency graph paths using Möbius inversion to optimize proof structures and resolve circular logic.

GAP Computational Algebra

Generates group-theoretic structures and computational algebraic objects for the Plurigrid ASI ecosystem.

FAL AI Image-to-Image & Enhancement

Transforms, edits, and enhances images using state-of-the-art fal.ai models including FLUX, ControlNet, and advanced upscalers.

Fal.ai Model Selection Guide

Provides expert guidance and decision trees for selecting optimal fal.ai models based on quality, speed, and cost requirements.

Python Video Pipeline

Builds high-performance, GPU-accelerated video processing workflows using FFmpeg, OpenCV, and serverless infrastructure.

fal.ai Text-to-Video Master

Generates professional cinematic videos from text descriptions using state-of-the-art models like Kling, Sora, and Runway.

Python OpenCV Master

Streamlines computer vision development with expert patterns for image processing, video analysis, and deep learning inference using OpenCV.

fal.ai API Reference

Provides comprehensive documentation and implementation patterns for integrating fal.ai's generative AI models via JavaScript, Python, and REST APIs.

Next.js Modal Integration

Bridges Next.js applications with Modal.com for high-performance AI inference, GPU workloads, and heavy serverless compute.

Fal.ai Video-to-Video

Enhances and transforms videos using advanced AI models for style transfer, upscaling, and object replacement.