What problem does it solve?
Turning raw datasets into publication-quality charts and full-page reports usually requires design judgment, chart-type selection, and front-end coding that non-programmers lack. This Skill gives an AI agent a strict, template-driven workflow that converts plain-language data requests into polished single-file HTML visualizations.
Core Features & Use Cases
- 64 chart templates across four families: Lupi Editorial (record-level narrative charts), Lupi Basics (familiar bar/line/donut forms with countable units), Glance (fast-reading dashboards), and Interactive (network, path, and flow diagrams), indexed by data shape in catalog.md.
- 12 bilingual full-page report templates: Chinese and English HTML layouts for annual reports, monthly business reviews, research briefs, dashboards, posters, and personal data records.
- Controlled color system: Mono grayscale by default, with three built-in presets (Porcelain, Palm, Wire) auto-selected by data semantics, plus user-specified custom palettes with contrast checks.
- Use Case: Paste a CSV of weekly support tickets and ask for a report-ready chart; the agent audits candidate templates, picks an honest encoding (e.g., Tick Box or Calendar Heat), and delivers a double-clickable HTML file with editorial typography and motion.
Quick Start
Ask your agent to turn this dataset into a set of editorial-style HTML charts using lieflat-charts, comparing Lupi Editorial and Lupi Basics templates first.