Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Optimizes deep learning models by refining architectures and training parameters to enhance accuracy and reduce resource consumption.
Parses and manages Flow Cytometry Standard (FCS) files to extract event data, metadata, and convert datasets for scientific analysis.
Manages annotated data matrices and biological datasets using the AnnData framework in Python.
Performs fast, nonlinear dimensionality reduction to visualize high-dimensional data and optimize machine learning clustering workflows.
Automates the end-to-end creation, training, and evaluation of machine learning models using sophisticated AutoML techniques.
Queries and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for comprehensive bibliometric research.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy framework.
Standardizes the creation, execution, and analysis of A/B tests and product experiments to ensure statistical significance and actionable insights.
Simplifies astronomical data analysis and astrophysical calculations using the comprehensive Astropy Python library.
Designs and implements sophisticated multi-agent workflows using modular orchestration patterns, hierarchical delegation, and deterministic tool coordination.
Automates the setup, validation, and execution of phylogenetic ancestral range reconstruction using BioGeoBEARS in R.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and more using the NeuroKit2 Python library.
Scales Python data processing and scientific computing across multiple cores or clusters for datasets that exceed available memory.
Systematically evaluates research papers and scholarly work using the ScholarEval framework for rigorous academic assessment.
Queries the Ensembl REST API to retrieve gene data, sequences, and variant analysis for over 250 species.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and retrieval-augmented generation.
Converts text into high-quality audio files using the ElevenLabs API with customizable voice parameters and presets.
Implements comprehensive evaluation frameworks for Large Language Model applications using automated metrics, human feedback, and LLM-as-judge patterns.
Analyzes textual data using natural language processing to extract sentiment, keywords, and core topics.
Standardizes repository workflows for AGILab development, environment management, and AI engineering application deployment.
Builds professional investment banking-standard discounted cash flow (DCF) models in Excel with automated financial projections and sensitivity analysis.
Automates the complete scientific research lifecycle from initial data analysis to publication-ready LaTeX manuscripts.
Provides programmatic access to global statistical datasets including demographic, economic, and environmental indicators via the Data Commons API.
Engineers production-ready Agent Development Kit (ADK) applications with automated testing, multi-agent orchestration, and GCP deployment.
Accesses and processes gene expression and functional genomics data from the NCBI Gene Expression Omnibus repository.
Configures and manages Mozilla Llamafile to run high-performance GGUF models locally with an OpenAI-compatible API.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis and workflow automation.
Generates high-performance text embeddings via the Google Gemini API for semantic search, RAG, and data classification tasks.
Simplifies Python-based LLM interactions by providing a unified interface for over 100 cloud and local providers using the OpenAI format.
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
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