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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.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
threejs
Assists with building interactive 3D experiences in the browser using Three.js. Use when creating 3D product configurators, data visualizations, games, or creative experiences with scenes, cameras, li
understand-dashboard
Launch an interactive web dashboard to visualize a codebase as a knowledge graph. Use when: exploring project architecture visually, seeing file/function dependencies, understanding code structure at
wandb
Weights & Biases platform for ML experiment tracking, hyperparameter optimization, and artifact management. Log metrics, visualize training runs, run sweeps for hyperparameter tuning, and version data
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,
charts
Chart and data visualization patterns for Remotion. Use when creating bar charts, pie charts, histograms, progress bars, or any data-driven animations.
Real Estate Data Analysis with Random Forest and Visualization
Performs regression and classification analysis on housing data using Random Forest models, including data merging, preprocessing, and generating specific evaluation metrics and visualizations.
data-report
Turns CSV, Excel, or JSON data into a polished visual report page.
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
report-generator
Generate professional data reports with charts, tables, and visualizations
deeptools
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
build-grafana-dashboards
Create production-ready Grafana dashboards with reusable panels, template variables, annotations, and provisioning for version-controlled dashboard deployment. Use when creating visual representations
data-visualization
Data visualization best practices and patterns. Covers chart selection, storytelling with data, matplotlib, plotly, dashboard design, and principles for effective visual communication.
tensorboard
Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit
tensorboard
Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit
plotly
Plotly workflow skill. Use this skill when the user needs Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysi
plotly-v2
Plotly workflow skill. Use this skill when the user needs Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysi
matplotlib
Matplotlib workflow skill. Use this skill when the user needs Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots and the operator should pre
grafana-expert
Expert-level Grafana dashboards, visualization, data sources, alerting, and production operations
academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemi
social-network-analysis
Build, analyze, and visualize social networks with NetworkX: centrality, community detection, small-world metrics, bipartite networks, and Gephi export from edge lists or adjacency matrices.
dash
Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment
sweetviz
Automated EDA comparison reports with target analysis, feature comparison, and HTML report generation for pandas DataFrames
visualize
Create beautiful, self-contained HTML visualizations from any content or idea. Use for: slide decks, presentations, infographics, dashboards, flowcharts, diagrams, timelines, comparison tables, data v
edgy-diagram
Create EDGY-notation diagrams as draw.io XML or PlantUML source and export them to PNG/SVG/PDF. Uses the EDGY facet model with draw.io CLI or the plantuml-stdlib `<edgy/edgy>` library for rendering.
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
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Prefer the terminal? osr stack apply registry://starter installs the starter template.