Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Simplifies access to AI-ready datasets and benchmarks for drug discovery and therapeutic machine learning tasks.
Provides programmatic access to the world's largest database of somatic mutations for cancer research and precision oncology.
Enables high-performance numerical computing, matrix manipulations, and scientific data visualization using MATLAB and GNU Octave syntax.
Enforces epistemic quality in documentation to prevent LLM hallucinations in RAG systems.
Enforces epistemic quality and uncertainty markers in documents to prevent hallucinations in RAG systems and LLM workflows.
Verifies and enforces epistemic quality in documents to prevent LLM hallucinations within RAG systems and knowledge bases.
Computes surface wave dispersion curves and sensitivity kernels for layered Earth models with high-performance Numba acceleration.
Transforms pandas dataframes using AI-powered qualitative ranking, semantic deduplication, and research-based filtering.
Build, fit, and diagnose sophisticated Bayesian statistical models using PyMC v5+ and ArviZ.
Automates the end-to-end formation evaluation pipeline from raw LAS/DLIS data to petrophysical analysis and 3D visualization.
Simplifies LLM API integration by providing a unified Python interface for over 100 providers using a consistent OpenAI-compatible format.
Builds and optimizes data processing pipelines, integrations, and machine learning scenarios within the SAP Data Intelligence Cloud environment.
Integrates SAP AI Core and Generative AI Hub capabilities into JavaScript and Java applications with enterprise-grade orchestration and security features.
Develops and deploys in-database machine learning models using the SAP HANA Python Client for PAL, APL, and AutoML workflows.
Deploys production-ready recommendation architectures featuring multi-tier caching, feature stores, and automated A/B testing frameworks.
Implements a rigorous scientific methodology to empirically validate hypotheses, claims, and theories through statistical testing and bias prevention.
Evaluates training data quality using multi-dimensional metrics to ensure high-performance LLM fine-tuning and alignment.
Deploys and manages enterprise AI/ML workloads, Generative AI Hub models, and orchestration pipelines on SAP BTP.
Searches and downloads gravitational wave event data and strain files from the Gravitational Wave Open Science Center.
Searches and retrieves experimental high-energy physics data tables and cross-section measurements from the HEPData repository.
Searches, retrieves, and downloads scientific datasets, software, and research artifacts from the Zenodo open repository.
Orchestrates end-to-end machine learning workflows using industry-standard tools like Airflow, Kubeflow, and MLflow.
Simplifies the installation, configuration, and management of Mozilla Llamafile for running local, OpenAI-compatible LLMs.
Generates interactive visualizations and comprehensive evaluation reports from LLM social research experiments.
Manages and validates ontology term references for the Dismech knowledge base using the Ontology Access Kit.
Optimizes Haystack RAG pipelines by leveraging DSPy's data-driven prompt tuning and programmatic optimization capabilities.
Integrates Hyperspell’s long-term memory and RAG capabilities into your project with automated configuration and SDK setup.
Integrates large language models with the emotive-mascot engine to create sentiment-driven, emotionally responsive conversational interfaces.
Optimizes AI prompts using research-backed frameworks and production-ready templates to ensure high-quality, cost-effective model outputs.
Integrates AI-powered qualitative analysis into Python pandas workflows for intelligent data sorting, deduplication, and merging.
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