From tonone
Recommends BI chart types and libraries for analytics dashboards, evaluating data density, drill-down, real-time support, and accessibility for data like sales trends or KPIs.
How this skill is triggered — by the user, by Claude, or both
Slash command
/tonone:lens-chartThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
User needs chart type selection or visualization recommendations for analytics dashboards or BI contexts.
python3 -m lens_agent.uiux search --domain chart --query "{data_type}" --limit 3
python3 -m lens_agent.uiux search --domain style --query "{context}" --limit 2
┌─ BI Chart Recommendation — {data_type} ─────────────────────────────┐
│ Chart type: {chart_type} │
│ Library: {library} │
│ Data density: {density} (low / medium / high) │
│ Drill-down: {drill_down} (yes / no / limited) │
│ Real-time support: {real_time} (yes / no) │
│ Accessibility: {grade} │
├─ Decision test ─────────────────────────────────────────────────────┤
│ "Does this answer a decision?" → {yes_no}: {rationale} │
└──────────────────────────────────────────────────────────────────────┘
If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
npx claudepluginhub tonone-ai/tonone --plugin eval-regressFull-stack data visualization intelligence: chart selection, data transformation, library choice, performance optimization, and accessibility. Activated by chart-related requests.
Recommends chart types, libraries (Recharts, D3, Chart.js, Plotly), accessibility grades, and fallbacks for data visualizations like time series or comparisons.
Guides data visualization workflows: discovers intent, selects chart types (bar, line, scatter), chooses libraries (D3.js, Chart.js, Recharts, Plotly) for React/Vue/etc.