Research
Matt Pocock· Community
Delegates deep-dive research tasks to a background agent that verifies information against primary sources.
Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
706 skills
Matt Pocock· Community
Delegates deep-dive research tasks to a background agent that verifies information against primary sources.
AnthropicOfficial
Comprehensive reference for integrating Anthropic's Claude API, SDKs, and Managed Agents into your applications.
Matt Van Horn· Community
Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.
Corey Haines· Community
A framework for conducting, analyzing, and synthesizing customer research to ground business decisions in real-world feedback.
Corey Haines· Community
A comprehensive framework for planning, implementing, and auditing analytics tracking to drive actionable business decisions.
K-Dense· Community
A framework for organizing PyTorch code to streamline neural network training, scaling, and experiment tracking.
K-Dense· Community
A comprehensive Python library for creating, manipulating, and analyzing complex network structures and graph data.
K-Dense· Community
A scikit-learn compatible Python toolkit for comprehensive time series machine learning tasks.
K-Dense· Community
Integrate UMAP-learn for non-linear dimensionality reduction, visualization, and clustering preprocessing.
K-Dense· Community
A Python framework for managing annotated data matrices in single-cell genomics and general research workflows.
K-Dense· Community
Creates and customizes scientific plots with Matplotlib. Used for fine-grained control over plot elements, novel plot types, and scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
K-Dense· Community
Comprehensive guidance for classical machine learning workflows using the scikit-learn Python library.
K-Dense· Community
Explain and audit machine-learning model predictions using the SHAP framework for feature attribution and visualization.
K-Dense· Community
Local document and PDF parsing with spatial text extraction and bounding box support.
K-Dense· Community
A toolkit for performing web searches and batch URL content extraction using the Exa API, with specialized support for scholarly research.
K-Dense· Community
Queries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.
K-Dense· Community
A high-performance DataFrame library for efficient data manipulation, ETL, and analytics in Python.
K-Dense· Community
A Python library for creating publication-quality statistical graphics with integrated pandas support.
K-Dense· Community
Version-aware guidance for PufferLib reinforcement learning environments, vectorization, policies, and training.
K-Dense· Community
Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations from estimators and conversions that materialize data.
K-Dense· Community
Perform zero-shot time-series forecasting using Google's TimesFM model with support for CSV preparation, quantile outputs, and XReg covariates.
K-Dense· Community
A secure, bounded tool for performing exploratory data analysis on scientific file formats.
K-Dense· Community
A library for building and training Graph Neural Networks (GNNs) using PyTorch.
K-Dense· Community
Access U.S. Treasury federal financial data via the Fiscal Data REST API.