Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Generates and evolves topological code patterns through autopoietic interaction and color-based seeds.
Builds and deploys serverless bioinformatics pipelines using the Latch SDK with specialized decorators and cloud data management.
Automates end-to-end scientific research workflows from data-driven hypothesis generation to publication-ready LaTeX manuscripts.
Provides a comprehensive toolkit for creating, manipulating, and analyzing complex network structures and graph algorithms in Python.
Computes shortest paths on spherical surfaces and Riemannian manifolds for navigation, aviation routing, and spatial analysis.
Simplifies molecular machine learning and drug discovery tasks using the DeepChem toolkit for property prediction and GNNs.
Predicts accurate protein-ligand binding poses and 3D structures using state-of-the-art diffusion-based deep learning models.
Analyzes system hardware to generate optimized strategic recommendations for computationally intensive scientific and machine learning tasks.
Orchestrates complex AI skill ecosystems using category theory, topological synthesis, and deterministic GF(3) conservation.
Provides unified access to over 400 AI models through a single, standardized API with intelligent routing and automatic fallbacks.
Verifies mathematical conservation laws and manages autopoietic logic within topological computational frameworks.
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.
Implements and optimizes reinforcement learning agents using the Stable Baselines3 library for PyTorch.
Facilitates topological diffusion and autopoietic learning patterns within the Model Context Protocol framework.
Generates publication-ready scientific figures with journal-specific styling, colorblind-safe palettes, and high-resolution export formats.
Bridges neural network sparsity research with Unison’s content-addressed ability system to optimize sparse computation and scaling.
Builds and manages complex signal processing flowgraphs and custom Python blocks for Software Defined Radio (SDR) applications.
Performs advanced survival analysis and time-to-event modeling using the scikit-survival Python library.
Analyzes and categorizes video content using a GF(3) triadic framework to ensure deterministic processing and system-wide data conservation.
Facilitates self-evolving topological aggregations and pattern recognition within the Gay MCP framework.
Facilitates topological data integration and autopoietic skill evolution within the worldmat framework.
Creates journal-ready, publication-quality scientific figures with standardized styling, multi-panel layouts, and colorblind-safe palettes.
Automates the end-to-end scientific research pipeline from initial hypothesis generation to publication-ready LaTeX manuscripts.
Facilitates creative scientific ideation by generating hypotheses, exploring interdisciplinary connections, and challenging research assumptions.
Implements end-to-end machine learning lifecycles including model versioning, automated training pipelines, and production monitoring for scalable AI systems.
Integrates the Reactome pathway database to perform biological enrichment analysis, gene mapping, and molecular interaction queries for systems biology research.
Performs high-performance geographic data analysis and H3 hexagonal indexing using DuckDB's spatial extensions.
Integrates the COSMIC cancer mutation database into bioinformatics workflows for somatic mutation analysis and precision oncology research.
Evaluates the credibility and quality of information sources using standardized scientific frameworks and the CRAAP test.
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