Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Detects PII, anonymizes sensitive information, and ensures regulatory compliance during synthetic data generation and processing.
Accesses real-time prediction market data, betting odds, and trading analytics from the Kalshi platform.
Implements comprehensive audio processing and text-to-speech generation using the Google Gemini API.
Streamlines R development using modern data analysis patterns, automated testing with testthat, and strict linting standards.
Manages structured bioinformatics lab notebooks through interactive dialogue to ensure high-quality, reproducible research documentation.
Generates and refines structured scientific reports from bioinformatics lab notebooks with integrated figure support and professional PDF export.
Streamlines the design and deployment of production-grade machine learning inference endpoints using FastAPI and Docker.
Performs advanced molecular modeling and cheminformatics tasks including descriptor calculation, fingerprinting, and substructure searching.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Generates insightful, professional-grade charts and interactive dashboards using industry-standard libraries and design principles.
Orchestrates complex multi-agent AI systems and human-AI teams using advanced communication patterns and consensus mechanisms.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Integrates Google Gemini's native vision capabilities to analyze, summarize, and extract structured data from complex PDF documents.
Optimizes Pandas and NumPy code for high-performance data processing, memory efficiency, and vectorization.
Analyzes market data using Hurst exponent, GARCH models, and Markov regime detection to identify optimal trading symbols for quantitative strategies.
Provides strategies, implementation patterns, and workflows for genomics and transcriptomics data analysis.
Implements queue-based GPU allocation and memory cleanup patterns to prevent OOM crashes and ensure reliable progress tracking in parallel workflows.
Streamlines scientific development on HPC environments using multi-root workspaces and automated test data extraction.
Analyzes protein and molecular structures through AlphaFold interpretation, quality validation metrics, and comparative structural techniques.
Manages and routes requests across multiple AI providers including Anthropic, Ollama, and HuggingFace.
Analyzes global investments through the lens of power structures, ethical constraints, and geopolitical alignments.
Streamlines the development of AI-powered features within the Moodle LMS using the official AI Subsystem for version 4.5 and above.
Prevents Jupyter notebook hangs by explicitly managing CuPy GPU memory pools and Python garbage collection.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex workflow orchestration.
Reconstructs multiplex microscopy images by correctly ordering tiles acquired via snake or serpentine stage patterns.
Builds advanced Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in proprietary data.
Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Parses microscopy channel and marker names from KINTSUGI metadata files using automatic format detection.
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