Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Enforces official Voxel51 and FiftyOne Python coding conventions for consistent and maintainable development.
Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and performance evaluation.
Visualizes computer vision datasets in 2D using dimensionality reduction to explore data structure, clusters, and outliers.
Builds custom FiftyOne operators and interactive panels to extend computer vision data workflows.
Designs and implements sophisticated LLM applications using LangChain's modular framework for agents, memory, and multi-step workflows.
Processes and analyzes images using advanced computer vision techniques to identify objects, classify scenes, and segment visual data.
Transforms vague natural language inputs into precision-engineered prompts for Claude, ChatGPT, Gemini, and other large language models.
Optimizes CUDA and GPU computing development with performance-focused guardrails and industry-standard implementation patterns.
Builds interactive, publication-quality data visualizations using the D3.js library for any JavaScript environment.
Enables Claude to analyze images, detect objects, and perform visual classification tasks directly within your development workflow.
Converts text into high-quality audio files using the ElevenLabs API with customizable voice parameters and presets.
Orchestrates systematic literature searches and reviews by finding, screening, and extracting data from scientific papers across PubMed and Semantic Scholar.
Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment and monitoring.
Evaluates machine learning model performance using a comprehensive suite of metrics to ensure accuracy and deployment readiness.
Designs and implements personalized recommendation systems using collaborative filtering, content-based models, and hybrid approaches.
Builds, optimizes, and evaluates robust supervised machine learning classification models automatically from labeled datasets.
Builds and evaluates robust supervised learning classification models with automated preprocessing and performance reporting.
Orchestrates sophisticated multi-agent systems and intelligent task routing using the Vercel AI SDK v5.
Queries the NCBI Gene database to retrieve comprehensive genetic information, including sequences, functional annotations, and biological pathways.
Accesses the National Library of Medicine's PubMed database for advanced biomedical literature search and programmatic data retrieval.
Streamlines data preparation for machine learning by building automated pipelines for cleaning, validation, and transformation.
Automates the creation of structured markdown reading notes from academic PDFs and EPUBs for sociology and social science research.
Powers AI-driven drug discovery using PyTorch for molecular property prediction, protein modeling, and chemical retrosynthesis.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications with external knowledge and proprietary data.
Consults Google's Gemini 3 Pro with real-time web search and vision to provide Claude with verified facts and multimodal analysis.
Provides a persistent cognitive architecture for AI agents to maintain long-term memory, context, and identity across multiple sessions.
Safely removes intermediate files and temporary data from completed research sessions while preserving critical findings and source papers.
Automates the end-to-end deployment of machine learning models to production environments through API generation and containerization.
Streamlines computational molecular biology tasks using the Biopython toolkit for sequence analysis, structural bioinformatics, and NCBI database integration.
Deploys and scales Python code in serverless containers with high-performance GPU support and automatic autoscaling.
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