Discover Agent Skills for data science & ml. Browse 53skills for Claude, ChatGPT & Codex.
Automates the creation, analysis, and formatting of Excel spreadsheets using programmatic data manipulation and visualization techniques.
Automates professional spreadsheet creation, data analysis, and financial modeling with dynamic formulas and industry-standard formatting.
Identifies and removes duplicate or visually similar images in FiftyOne datasets using deep learning embeddings.
Automates the creation of FiftyOne datasets from local media files and executes machine learning model inference pipelines.
Diagnoses and resolves openai_harmony.HarmonyError and tool calling failures when using GPT-OSS models with vLLM.
Provides R-based statistical methods and best practices for clinical trial design, analysis, and regulatory reporting.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Performs advanced health economic evaluations including cost-effectiveness analysis, Markov modeling, and probabilistic sensitivity analysis in R.
Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Evaluates Large Language Model application performance using automated metrics, human feedback loops, and LLM-as-judge frameworks.
Architects sophisticated LLM applications using LangChain's agent, memory, and tool integration patterns.
Manages and routes requests across multiple AI providers including Anthropic, Ollama, and HuggingFace.
Analyzes protein and molecular structures through AlphaFold interpretation, quality validation metrics, and comparative structural techniques.
Constructs and validates hierarchical data structures for qualitative research, transforming grounded participant language into abstract theoretical dimensions.
Implements robust Retrieval-Augmented Generation systems to connect LLMs with external knowledge bases and vector databases.
Optimizes LLM performance and reliability through advanced prompt engineering techniques like few-shot learning and chain-of-thought.
Implements high-performance persistent memory and reasoning patterns for AI agents using vector storage and reinforcement learning.
Optimizes AI-assisted qualitative research through model selection guidance, cost estimation, and document processing strategies.
Performs advanced molecular modeling and cheminformatics tasks including descriptor calculation, fingerprinting, and substructure searching.
Executes structured, atomic tasks for fantasy football analytics, FASA optimization, and trade intelligence within a standardized sprint framework.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Implements adaptive learning and pattern recognition systems to enable AI agents to optimize strategies and improve through experience.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge and proprietary data.
Implements comprehensive evaluation strategies for Large Language Model applications using automated metrics, human feedback, and comparative benchmarking.
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Manages end-to-end bioinformatics research by orchestrating hypothesis-driven experiment planning, execution, and standardized lab notebook documentation.
Implements advanced prompt engineering techniques to optimize LLM performance and output reliability for production applications.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex workflow orchestration.
Streamlines the design and deployment of production-grade machine learning inference endpoints using FastAPI and Docker.
Provides a structured framework for comprehensive data processing, multi-step analysis patterns, and standardized output generation.
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