> web-artifacts-builder

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

fetch
$curl "https://skillshub.wtf/ynulihao/AgentSkillOS/web-artifacts-builder?format=md"
SKILL.mdweb-artifacts-builder

Web Artifacts Builder

To build powerful frontend claude.ai artifacts, follow these steps:

  1. Initialize the frontend repo using scripts/init-artifact.sh
  2. Develop your artifact by editing the generated code
  3. Bundle all code into a single HTML file using scripts/bundle-artifact.sh
  4. Display artifact to user
  5. (Optional) Test the artifact

Stack: React 18 + TypeScript + Vite + Parcel (bundling) + Tailwind CSS + shadcn/ui

Design & Style Guidelines

VERY IMPORTANT: To avoid what is often referred to as "AI slop", avoid using excessive centered layouts, purple gradients, uniform rounded corners, and Inter font.

Quick Start

Step 1: Initialize Project

Run the initialization script to create a new React project:

bash scripts/init-artifact.sh <project-name>
cd <project-name>

This creates a fully configured project with:

  • ✅ React + TypeScript (via Vite)
  • ✅ Tailwind CSS 3.4.1 with shadcn/ui theming system
  • ✅ Path aliases (@/) configured
  • ✅ 40+ shadcn/ui components pre-installed
  • ✅ All Radix UI dependencies included
  • ✅ Parcel configured for bundling (via .parcelrc)
  • ✅ Node 18+ compatibility (auto-detects and pins Vite version)

Step 2: Develop Your Artifact

To build the artifact, edit the generated files. See Common Development Tasks below for guidance.

Step 3: Bundle to Single HTML File

To bundle the React app into a single HTML artifact:

bash scripts/bundle-artifact.sh

This creates bundle.html - a self-contained artifact with all JavaScript, CSS, and dependencies inlined. This file can be directly shared in Claude conversations as an artifact.

Requirements: Your project must have an index.html in the root directory.

What the script does:

  • Installs bundling dependencies (parcel, @parcel/config-default, parcel-resolver-tspaths, html-inline)
  • Creates .parcelrc config with path alias support
  • Builds with Parcel (no source maps)
  • Inlines all assets into single HTML using html-inline

Step 4: Share Artifact with User

Finally, share the bundled HTML file in conversation with the user so they can view it as an artifact.

Step 5: Testing/Visualizing the Artifact (Optional)

Note: This is a completely optional step. Only perform if necessary or requested.

To test/visualize the artifact, use available tools (including other Skills or built-in tools like Playwright or Puppeteer). In general, avoid testing the artifact upfront as it adds latency between the request and when the finished artifact can be seen. Test later, after presenting the artifact, if requested or if issues arise.

Reference

> related_skills --same-repo

> xlsx

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

> webapp-testing

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

> treatment-plans

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> transformers

Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA,

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github stars320
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first seenMar 23, 2026
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┌ repo

ynulihao/AgentSkillOS
by ynulihao
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