Claude-skill-registry happiness-dashboard

Evidence framework data dashboard with DuckDB. Write SQL in markdown to create visualizations.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/happiness-dashboard" ~/.claude/skills/majiayu000-claude-skill-registry-happiness-dashboard && rm -rf "$T"
manifest: skills/data/happiness-dashboard/SKILL.md
source content

Happiness Dashboard

An interactive data dashboard using Evidence framework - write SQL queries in markdown to create visualizations.

Tech Stack

  • Framework: Evidence
  • Database: DuckDB (embedded)
  • Frontend: Svelte
  • Package Manager: pnpm
  • Output:
    build
    directory
  • Dev Port: 3000

Setup

1. Clone the Template

git clone --depth 1 https://github.com/Eng0AI/happiness-dashboard-template.git .

If the directory is not empty:

git clone --depth 1 https://github.com/Eng0AI/happiness-dashboard-template.git _temp_template
mv _temp_template/* _temp_template/.* . 2>/dev/null || true
rm -rf _temp_template

2. Remove Git History (Optional)

rm -rf .git
git init

3. Install Dependencies

pnpm install

4. Process Data Sources

pnpm run sources

Build

pnpm run build

Generates static site in

build/
directory.

Deploy

Vercel (Recommended)

vercel pull --yes -t $VERCEL_TOKEN
vercel build --prod -t $VERCEL_TOKEN
vercel deploy --prebuilt --prod --yes -t $VERCEL_TOKEN

Important: Deploy from project root, not

build/
directory.

Netlify

netlify deploy --prod --dir=build

Data Sources

CSV files in

sources/happiness_score/
:

  • hs2024.csv
    - Current year happiness data
  • hsArchive.csv
    - Historical happiness data

Notes

  • Use pnpm (not npm) -
    .npmrc
    has
    shamefully-hoist=true
    for Evidence compatibility
  • Build locally - Vercel/Netlify build can timeout due to DuckDB compilation (40+ min)
  • Uses CSV files, no database setup needed
  • Never run
    pnpm run dev
    in VM environment