Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Conducts comprehensive market analysis, industry trend tracking, and market sizing calculations to drive data-informed business decisions.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Automates professional Excel spreadsheet creation, financial modeling, and data analysis with error-free formula verification.
Accesses the ZINC database of 230M+ purchasable compounds for drug discovery, molecular docking, and chemical informatics.
Enables programmatic PDF manipulation, data extraction, and document creation using professional Python and command-line tools.
Performs high-performance genomic interval analysis, overlap detection, and machine learning tokenization using Rust-powered tools.
Analyzes and visualizes human neurophysiological data including EEG, MEG, and intracranial recordings using Python-based best practices.
Implements systematic evaluation strategies for AI applications using automated metrics, human feedback loops, and LLM-as-judge patterns.
Generates high-performance, structured prompts using official Anthropic conventions and 2025 best practices.
Corrects multi-action trading logic bugs and optimizes backtesting notebooks for Google Colab environments.
Manages large-scale scientific dataset transfers between remote Globus endpoints and high-performance computing clusters.
Enhances multiplex immunofluorescence images by applying range-specific weights to remove background noise while preserving delicate biological signals.
Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.
Accesses and analyzes global public statistical data through the Data Commons knowledge graph and Python API.
Integrates the Google Gemini CLI into Claude to provide large-context analysis, safe sandbox execution, and structured code modifications.
Build and validate sophisticated Bayesian models using PyMC's modern probabilistic programming API.
Optimizes KINTSUGI batch processing by enforcing GPU-only SLURM scheduling to achieve up to 25x speedups over CPU fallback.
Evaluates scientific research rigor by assessing methodology, statistical validity, and bias through established frameworks like GRADE and Cochrane ROB.
Generates comprehensive, 50+ page professional market research reports with consulting-grade analysis and high-fidelity visualizations.
Executes complex biomedical research tasks including genomics analysis, drug discovery, and clinical interpretation via autonomous AI agents.
Facilitates programmatic access to over 61 million standardized single-cell genomics data points for advanced querying and analysis.
Evaluates scholarly research and academic papers using the ScholarEval framework to provide structured quality assessments and quantitative scoring.
Analyzes single-cell RNA-seq data with standardized workflows for quality control, clustering, and cell type annotation.
Accesses and queries global statistical data from Data Commons to provide programmatic insights into demographics, economics, and environmental indicators.
Accesses the BRENDA database via SOAP API to retrieve kinetic parameters, reaction equations, and organism-specific enzyme data for biochemical research.
Architects high-performance system instructions and prompt patterns to optimize Large Language Model outputs and consistency.
Implements high-performance systems and complex algorithms with absolute scientific rigor and formal correctness.
Transforms initial software concepts into comprehensive, well-architected technical designs and implementation roadmaps.
Builds low-latency, production-grade voice applications using real-time APIs, advanced synthesis, and streaming transcription services.
Generates publication-quality scientific diagrams and technical schematics with automated AI quality review and smart iteration.
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