claude/skills/web-artifacts-builder/SKILL.md
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.
npx skillsauth add lanej/dotfiles web-artifacts-builderInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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To build powerful frontend claude.ai artifacts, follow these steps:
scripts/init-artifact.shscripts/bundle-artifact.shStack: React 18 + TypeScript + Vite + Parcel (bundling) + Tailwind CSS + shadcn/ui
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.
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:
@/) configuredTo build the artifact, edit the generated files. See Common Development Tasks below for guidance.
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:
.parcelrc config with path alias supportFinally, share the bundled HTML file in conversation with the user so they can view it as an artifact.
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.
devops
DORA engineering metrics project at ~/src/dora. Load when: querying DORA BigQuery views (deployment frequency, lead time, change failure rate, alerts, review time) from any project; joining against DORA.unified_identity or DORA_clean.* views from any project; running the data pipeline (just refresh, just download-*, just upload-*); making OpenTofu infrastructure changes to DORA tables or views; working with team attribution, team identity, or engineer roster data.
development
Data pipeline architecture patterns and best practices, including medallion/three-layer architecture (Raw/Staging/Enriched or Bronze/Silver/Gold), YAML-based schema management, and ETL workflow patterns. Use when designing or implementing data pipelines, working with data warehouse layers, or managing table schemas in YAML.
data-ai
Delegate research and context-gathering tasks to a sub-agent to protect the primary context window. Use when the user asks to "research X", "look into X", "find out about X", "gather context on X", or any investigative framing where answering requires 2+ searches or multiple sources. Also use proactively before starting substantive work when prior context is unknown. Never run research inline — always delegate.
documentation
--- name: qmd-math description: Math notation conventions for Quarto/EPQ documents rendered via lualatex. Use when: writing or adding a formula, equation, or mathematical expression to a .qmd file; asked about display math, inline math, or LaTeX notation in a QMD/Quarto context; defining a where-clause or variable definitions for an equation; converting prose variable descriptions into structured math notation; fixing math that renders badly in a PDF; using \lvert, \begin{aligned}, \tfrac, \text