Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Implements adaptive learning and high-performance trajectory tracking for autonomous agents using the AgentDB vector backend.
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Ensures deterministic data traversal and logical consistency by enforcing GF(3) color conservation across navigator compositions.
Facilitates topological diffusion and autopoietic learning patterns within the Model Context Protocol framework.
Enforces GF(3) color conservation and deterministic traversal across complex data navigator compositions.
Analyzes and transforms coordinate systems within dynamical systems to preserve underlying physical and mathematical dynamics.
Extracts behavioral patterns and cognitive models from interaction sequences to automate learning for surrogate systems.
Analyzes planetary intelligence and crypto-geographic data using AI2 OlmoEarth foundation models optimized for Apple Silicon.
Processes mass spectrometry data, standardizes metadata, and calculates spectral similarities for metabolomics workflows.
Implements intrinsic motivation for AI agents by rewarding compression progress and world-model improvement.
Automates professional spreadsheet creation, complex financial modeling, and data analysis with formula-driven accuracy.
Automates the end-to-end scientific research pipeline from initial hypothesis generation to publication-ready LaTeX manuscripts.
Creates journal-ready, publication-quality scientific figures with standardized styling, multi-panel layouts, and colorblind-safe palettes.
Integrates the Reactome pathway database to perform biological enrichment analysis, gene mapping, and molecular interaction queries for systems biology research.
Facilitates self-evolving topological aggregations and pattern recognition within the Gay MCP framework.
Implements and optimizes reinforcement learning agents using the Stable Baselines3 library for PyTorch.
Enables diagrammatic reasoning and optimization for quantum circuits using Z-spiders, X-spiders, and rewrite rules.
Integrates the COSMIC cancer mutation database into bioinformatics workflows for somatic mutation analysis and precision oncology research.
Facilitates creative scientific ideation by generating hypotheses, exploring interdisciplinary connections, and challenging research assumptions.
Models complex interactions and compositional systems using the categorical framework of polynomial functors and dialectica categories.
Accesses the ClinicalTrials.gov API v2 to search, filter, and export global clinical study data for medical research and patient matching.
Orchestrates triadic parallel agent dispatch with deterministic seeding and voice-specific locales for high-performance Apple Silicon workflows.
Bridges neural network sparsity research with Unison’s content-addressed ability system to optimize sparse computation and scaling.
Optimizes the tradeoff between representation compression and computational response time using spectral graph theory and convergence analysis.
Trains humanoid robot locomotion and manipulation policies using a JAX-native Reinforcement Learning framework built on MuJoCo.
Deploys high-performance reinforcement learning policies to real-world robots using a specialized Rust-based ONNX inference engine.
Models computation as non-deterministic chemical reactions within multisets of molecules for parallel systems simulation.
Provides unified access to over 400 AI models through a single, standardized API with intelligent routing and automatic fallbacks.
Computes shortest paths on spherical surfaces and Riemannian manifolds for navigation, aviation routing, and spatial analysis.
Implements and applies the formal axioms of monoidal categories to define structural relationships and coherent transformations in complex systems.
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