matplotlib

7

andikarachman

Matplotlib API patterns for creating publication-quality visualizations. Use when /ds:eda needs distribution plots, correlation heatmaps, or relationship visualizations, or when /ds:experiment needs result plots (learning curves, confusion matrices, forecast visualizations). For standard ML diagnostic plots use scikit-learn display utilities; for statsmodels diagnostic plots use statsmodels built-in plotting; for quick statistical plots prefer seaborn.

astronomy-and-astrophysics-expert

6

sandraschi

Expert guidance across solar physics, planetary science, stellar evolution, cosmology, and observational techniques with 2025 mission data

linear-algebra-expert

6

sandraschi

Expert in vector spaces, matrices, linear transformations, eigenvalues, and applications to data science and machine learning

computer-science-tutor

6

szeyu

Computer Science subject expertise for studying algorithms, data structures, systems, and programming concepts. Provides complexity analysis, code patterns, and visual diagrams. Use when studying CS topics, creating programming notes, solving algorithm problems, or explaining computing concepts. Triggers - computer science help, algorithms, data structures, Big-O, coding problems, programming concepts, system design.

python-programming

5

pluginagentmarketplace

Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.

senior-data-scientist

4

ngxtm

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

senior-data-scientist

4

EYH0602

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

R Data Science

3

akm-rs

R-first data science and statistical analysis with SQL as a secondary language. Use when the user asks to analyze data in R, write R scripts, create tidyverse pipelines, build statistical models, work with time series (fable/tsibble), run machine learning workflows (tidymodels), query databases from R (DuckDB, dbplyr), build reproducible pipelines (targets), or parallelize computations (crew/mirai). Triggers on requests involving R, tidyverse, dplyr, ggplot2, targets, tidymodels, DuckDB, time series forecasting, or statistical modeling.

document-insect-sighting

2

pjt222

Record insect sightings with location, date, habitat, photography, behavior notes, preliminary identification, and citizen science submission. Covers GPS coordinates, weather conditions, microhabitat description, macro photography techniques, behavioral observations, preliminary identification to order using body plan, and submission to citizen science platforms such as iNaturalist. Use when encountering an insect you want to document, contributing to citizen science biodiversity databases, building a personal observation journal, or supporting ecological surveys with georeferenced photographic records.

document-insect-sighting

2

pjt222

Record insect sightings with location, date, habitat, photography, behavior notes, preliminary identification, and citizen science submission. Covers GPS coordinates, weather conditions, microhabitat description, macro photography techniques, behavioral observations, preliminary identification to order using body plan, and submission to citizen science platforms such as iNaturalist. Use when encountering an insect you want to document, contributing to citizen science biodiversity databases, building a personal observation journal, or supporting ecological surveys with georeferenced photographic records.

bioRxiv Database

1

iamseungpil

Efficient database search tool for the bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

Pandas Data Wrangler

Eli-yu-first

Generates Pandas code for data cleaning, transformation, and feature engineering from natural language

Feature Engineering Agent

Eli-yu-first

Suggests and generates feature engineering code based on dataset characteristics and target variable

Data Quality Checker

Eli-yu-first

Validates data quality with completeness, consistency, accuracy checks and generates quality reports

Jupyter Notebook Generator

Eli-yu-first

Generates well-structured Jupyter notebooks with EDA, modeling, and visualization sections

data-science-trainer

davidreyblanco

Design data science and machine learning training modules, it specializes in technical training

SQL Query Optimizer

Eli-yu-first

Optimizes SQL queries with execution plan analysis, index suggestions, and query rewriting

senior-data-scientist

robertbstillwell

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

data-science-trainer-plus

davidreyblanco

Design data science and machine learning training modules with detailed instructor guides, notebooks and slides. Produces ready-to-deliver course materials.

Time Series Forecaster

Eli-yu-first

Builds time series forecasting models using ARIMA, Prophet, and LSTM with automated parameter tuning

Anomaly Detection System

Eli-yu-first

Implements anomaly detection algorithms for time series, network traffic, and financial transactions

senior-data-scientist

arielperez82

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

Together Code Interpreter (TCI)

zainhas

Execute Python code in a sandboxed environment via Together Code Interpreter (TCI). $0.03 per session, 60-minute lifespan, stateful sessions with pre-installed data science packages. Use when users need to run Python code remotely, execute computations, data analysis, generate plots, RL training environments, or agentic code execution workflows.

Visualization Dashboard Builder

Eli-yu-first

Creates interactive dashboards with Plotly, D3.js, or Tableau configurations from data descriptions

A/B Test Calculator

Eli-yu-first

Designs A/B tests with sample size calculation, statistical significance testing, and result interpretation

r-expert

jjjermiah

Core R programming skill for all R code, package development, and data science workflows. Use when writing R functions, building packages, using tidyverse (dplyr, ggplot2, purrr), creating Shiny apps, working with R Markdown/Quarto, or doing data analysis—e.g., "write an R function", "refactor this R code", "create a Shiny dashboard", "set up package tests", "debug R errors".

bioRxiv Database

reikiplanet

Efficient database search tool for the bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

Data Pipeline Builder

Eli-yu-first

Designs ETL/ELT data pipelines with Apache Airflow, dbt, or Prefect configurations