Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Builds robust, production-grade backtesting systems for trading strategies while mitigating common biases and handling transaction costs.
Provides domain-specific knowledge and experimental constraints for mechanistic interpretability research on Splatoon data models.
Manages Retrieval-Augmented Generation (RAG) indices to enable semantic search capabilities over BigQuery datasets.
Provides rigorous methodological guidance for conducting and reviewing pairwise meta-analyses following Cochrane and PRISMA standards.
Implements tidy modeling principles for reproducible and standardized indirect treatment comparison (ITC) analyses in R.
Provides expert methodological guidance and best practices for conducting Matching-Adjusted Indirect Comparisons (MAIC) in health economics and outcomes research.
Provides comprehensive methodological guidance and code implementations for conducting rigorous network meta-analyses following international standards.
Queries the China Biographical Database to retrieve detailed biographical information, social relationships, and official appointments of historical Chinese figures from the 7th century BCE through the 19th century CE.
Builds and orchestrates end-to-end MLOps pipelines from data preparation through model training to production deployment.
Extracts structured experimental protocol data and instructions from LA-Bench format JSONL files.
Generates structured scientific research reports by analyzing raw data, verifying physical models, and calculating quantitative performance metrics.
Automates scientific data analysis and graphing workflows using GraphPad Prism scripting and XML manipulation.
Automates the end-to-end processing and curation of bulk RNA-seq datasets for VEuPathDB genomic resources.
Generates professional, data-driven presentations and technical whitepapers with robust citation management and reproducibility standards.
Generates professional terminal-based and image-based visualizations to communicate data patterns and analytics results clearly.
Implements a systematic data quality remediation process to detect duplicates, handle outliers, and standardize inconsistencies for reliable analysis.
Optimizes LLM performance through advanced prompt engineering, RAG architecture design, and agentic system orchestration.
Interacts with diverse large language models through a command-line interface to perform tasks like prompt execution, data extraction, and embedding management.
Configures and manages diverse LLM providers, streaming callbacks, and token optimization strategies for XSky-based agentic workflows.
Identifies and resolves memory exhaustion issues in Python and PyTorch applications, specifically targeting matplotlib figures and tensor accumulation.
Enforces adherence to PRISM architectural patterns by validating the implementation of Runner and Trainer classes during refactoring.
Validates and documents PyTorch tensor shapes through inline comments and runtime assertions to prevent common deep learning bugs.
Manages complex-valued PyTorch tensors for astronomical imaging, signal processing, and frequency-domain neural networks.
Search and synthesize local vector RAG stores using an AI-powered graphical interface.
Provides a standardized workflow for data preparation, exploratory analysis, and high-quality visualization using Python libraries.
Rent high-performance GPUs and manage machine learning training jobs on Basilica's decentralized compute marketplace.
Facilitates the development and orchestration of collaborative multi-agent AI systems and automated workflows.
Integrates Gemini AI with Google Maps grounding to provide accurate, location-aware responses and recommendations for over 250 million places worldwide.
Indexes codebases and documents for semantic search to enable local Retrieval-Augmented Generation (RAG) using Ollama and FAISS.
Streamlines single-cell omics analysis through deep learning-based data integration, reference mapping, and model surgery techniques.
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