20 Data Visualization alternatives
Data Visualization: Anthropic's official data-visualization skill: pick the right chart for the data, then build it with ready-to-run matplotlib, seaborn, and plotly patterns. 20 agent skills do similar work, most sharing Python, Accessibility and Data Visualization, ranked by how much they have in common with Data Visualization.
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by Aryan Utkarsh
Turn a short JSON spec into animated, explorable diagrams in 45 types, exported as HTML, SVG, PNG, GIF or MP4.
Also: Data Visualization
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by tt-a1i
Turns plain-language requirements or pasted Mermaid into validated architecture, workflow, sequence, data-flow and lifecycle diagrams as self-contained interactive HTML.
Also: Data Visualization
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by Ferousco-dev
Stops AI-generated UI from defaulting to purple gradients and templated hero sections by forcing a named design direction first.
Also: Accessibility
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by Vercel
Vercel's official skill for auditing UI code against the Web Interface Guidelines — accessibility, performance and UX rules reported as terse file:line findings.
Also: Accessibility
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by Cloudflare
Audits Core Web Vitals through the Chrome DevTools MCP server — LCP, INP, CLS plus FCP, TBT and Speed Index — and traces each one back to the render-blocking resource or layout shift causing it.
Also: Accessibility
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by Vercel
Audit UI code against Vercel's Web Interface Guidelines — accessibility, interaction, performance and layout rules — reported as terse file:line findings.
Also: Accessibility
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by ayghri
An output-style skill that stops a coding agent burying the answer: action first, numbered steps, state restated every turn, no preamble or filler.
Also: Accessibility
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by content-designer (Christopher Greer)
Write and audit interface microcopy, from buttons to error messages, against four checkable quality standards.
Also: Accessibility
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by Oldcircle
Find where a photo was taken: EXIF, OCR, OpenStreetMap, skyline and satellite matching, with coordinates, error radius and evidence images.
Also: Python
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by NVIDIA
Diagnoses wrong gradients in differentiable NVIDIA Warp programs by measuring first — comparing autodiff against finite differences on a shrunk reproduction before proposing any fix.
Also: Python
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by Hugging Face
Build Gradio web UIs and ML demos in Python with the current API — components, layouts, events, and chat interfaces.
Also: Python
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by Hugging Face
Read-only recipes for the Hugging Face Dataset Viewer API — resolve splits, paginate rows, run text search and row filters, and pull parquet URLs and column statistics.
Also: Python
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by Hugging Face
Train bi-encoders, rerankers, SPLADE sparse encoders and ColBERT multi-vector models with the loss, evaluator and template each type actually needs.
Also: Python
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by Hugging Face
Fine-tune object detection, image classification and SAM/SAM2 segmentation models on Hugging Face Jobs cloud GPUs, with dataset validation before you spend GPU minutes.
Also: Python
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by OpenAI
OpenAI's skill for language- and framework-specific secure coding: detect the stack, load the matching reference guidance, then write secure-by-default code, flag critical issues passively, or produce a prioritised vulnerability report with fixes.
Also: Python
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by arpitg1304
Ten SKILL.md modules that give coding agents real ROS engineering judgement — ROS 1 and ROS 2, design patterns, perception, testing, Docker, bringup and robot security.
Also: Python
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by Graphify Labs
Claude Code skill that turns any folder of code, docs, papers and images into a queryable knowledge graph, with every edge tagged as extracted, inferred or ambiguous.
Also: Python
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by NVIDIA
GPU-accelerated Mean-CVaR and Mean-Variance portfolio construction with NVIDIA cuOpt: scenario generation, variance-capped SOCP allocations, efficient frontiers, backtests and rebalancing.
Also: Python
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by NVIDIA
Turns a plain-language weather question into a working Earth2Studio inference script — picks the AI forecast model, a compatible data source, an IO backend, and the step count.
Also: Python
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by Pydantic
Pydantic's official skill for modelling untrusted data in Python — constraints, model hierarchies, validators and serialisation, plus when not to reach for a BaseModel.
Also: Python