Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Equips AI agents with adaptive learning and pattern recognition capabilities to optimize strategies based on historical performance.
Implements high-performance adaptive learning and memory distillation for AI agents using AgentDB’s ultra-fast vector database.
Implements high-performance persistent memory and learning patterns for stateful AI agents using AgentDB.
Trains, deploys, and manages distributed neural networks across isolated E2B sandbox environments using advanced machine learning architectures.
Generates cinematic AI videos with synchronized audio and precision lip-syncing using the Seedance 1.5 Pro model.
Generates and edits high-quality images using Google’s Nanobanana model via the Replicate API.
Generates detailed experimental procedures from LA-Bench datasets by orchestrating a multi-agent workflow for parsing, reference fetching, and quality validation.
Generates sophisticated, interactive data visualizations and custom SVG graphics with precise control over visual elements and transitions.
Executes structured, atomic tasks for fantasy football analytics, FASA optimization, and trade intelligence within a standardized sprint framework.
Generates standardized Jupyter notebooks for fantasy football data analysis, integrating DuckDB connections, dbt mart queries, and professional visualization patterns.
Facilitates single-cell RNA-seq analysis of cell-cell communication and ligand-receptor interactions using the CellPhoneDB framework.
Streamlines single-cell omics analysis through deep learning-based data integration, reference mapping, and model surgery techniques.
Indexes codebases and documents for semantic search to enable local Retrieval-Augmented Generation (RAG) using Ollama and FAISS.
Integrates Gemini AI with Google Maps grounding to provide accurate, location-aware responses and recommendations for over 250 million places worldwide.
Facilitates the development and orchestration of collaborative multi-agent AI systems and automated workflows.
Rent high-performance GPUs and manage machine learning training jobs on Basilica's decentralized compute marketplace.
Validates LlamaFarm YAML configurations against schemas and custom business rules to ensure project integrity.
Provides a standardized workflow for data preparation, exploratory analysis, and high-quality visualization using Python libraries.
Search and synthesize local vector RAG stores using an AI-powered graphical interface.
Manages complex-valued PyTorch tensors for astronomical imaging, signal processing, and frequency-domain neural networks.
Validates and documents PyTorch tensor shapes through inline comments and runtime assertions to prevent common deep learning bugs.
Enforces adherence to PRISM architectural patterns by validating the implementation of Runner and Trainer classes during refactoring.
Identifies and resolves memory exhaustion issues in Python and PyTorch applications, specifically targeting matplotlib figures and tensor accumulation.
Configures and manages diverse LLM providers, streaming callbacks, and token optimization strategies for XSky-based agentic workflows.
Interacts with diverse large language models through a command-line interface to perform tasks like prompt execution, data extraction, and embedding management.
Optimizes LLM performance through advanced prompt engineering, RAG architecture design, and agentic system orchestration.
Implements a systematic data quality remediation process to detect duplicates, handle outliers, and standardize inconsistencies for reliable analysis.
Generates professional terminal-based and image-based visualizations to communicate data patterns and analytics results clearly.
Generates professional, data-driven presentations and technical whitepapers with robust citation management and reproducibility standards.
Generates structured, micro-task-based implementation plans specifically for large language model fine-tuning and NLP workflows.
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