Skip to content

Marketplace

Everything your AI needs, in one place.

Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.

146.7K
listings
1
installs
0
reviews
40.4K
publishers
15 results
Agent

MatplotlibVisualizer

A specialized agent for creating visualizations using Matplotlib's rich functionality

by newsbubblesgithub-a2a
Not rated yet
Free
Skill

data-science-expert

Expert-level data science, analytics, visualization, and statistical modeling. Use when the user mentions analytics, visualization, statistics, pandas, or NumPy, or when the task involves Data Analysi

by personamanagmentlayerskills.sh
Not rated yet
Free
Skill

r-expert

Expert-level R statistical computing, data analysis, and visualization. Use when the user mentions statistics, data analysis, ggplot2, or the tidyverse, or when the task involves R Fundamentals, Stati

by personamanagmentlayerskills.sh
Not rated yet
Free
Skill

research-expert

Expert-level research methodology, academic writing, statistical analysis, and scientific investigation. Use when the user mentions methodology, statistics, academic writing, or experimental design, o

by personamanagmentlayerskills.sh
Not rated yet
Free
Skill

data-analyst

Data analysis across SQL, visualization, statistics, and reporting. Use when writing SQL queries, building dashboards, performing cohort or funnel analysis, running hypothesis tests, or presenting dat

by borgheiskills.sh
Not rated yet
Free
Skill

data-scientist

Data science across machine learning, statistical modeling, and experimentation. Use when selecting ML algorithms, engineering features, designing A/B tests, evaluating model performance, or building

by borgheiskills.sh
Not rated yet
Free
Skill

statistical-analyst

Applied statistics for business and product questions — test selection, assumption checks, power planning, effect sizes with intervals, multiplicity correction. Use when interpreting an experiment, si

by borgheiskills.sh
Not rated yet
Free
Skill

senior-data-scientist

Expert data science for statistical modeling, experimentation, ML deployment, and data-driven decision making — A/B test design and analysis, feature engineering, model training/evaluation, production

by borgheiskills.sh
Not rated yet
Free
Skill

ab-test-setup

Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or

by borgheiskills.sh
Not rated yet
Free
Skill

results-analysis

This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do

by galaxy-dawnskills.sh
Not rated yet
Free
Skill

data-analysis

Analyze spreadsheet data, generate insights, and create visualizations. Use when a user asks to analyze data, explore a dataset, find trends, generate statistics, create charts from CSV or Excel data,

by terminalskillsskills.sh
Not rated yet
Free
Skill

seaborn

Seaborn statistical visualization library reference. High-level Python plotting on Matplotlib. Covers scatter, line, histogram, KDE, box, violin, bar, heatmap, pairplot, regression, FacetGrid, themes,

by bytesagainGitHub
Not rated yet
Free
Skill

stat-eda

Conduct Exploratory Data Analysis (EDA) using descriptive statistics, visualizations, and data quality checks. Use this skill when the user has a dataset and needs to understand its structure, find pa

by asgard-ai-platformGitHub
Not rated yet
Free
Skill

empirical-systems-evaluation

Benchmark multi-agent coordination systems with experiment design, power analysis, human rating protocols, bootstrap confidence intervals, and reproducible reporting. Use for salvage latency, recovery

by curiositechGitHub
Not rated yet
Free
Skill

moai-domain-data-science

Production-grade data science specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master data processing, ML pipeline development, model deployment, and statistical analysi

by jg-chalk-ioGitHub
Not rated yet
Free
1

Find

Search or browse by kind. Every card shows who made it, how many people installed it and what they think.

2

Install

One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.

3

Rate and publish

Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.

Prefer the terminal? osr stack apply registry://starter installs the starter template.