Use when asked to select chart types for analytics dashboards, choose BI visualizations, or design data displays. Examples: "best chart for sales data", "dashboard visualization for metrics", "analytics chart selection"
Scanned 9/2/2026
Install to Claude Code
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---
name: lens-chart
description: |
Use when asked to select chart types for analytics dashboards, choose BI
visualizations, or design data displays. Examples: "best chart for sales data",
"dashboard visualization for metrics", "analytics chart selection"
allowed-tools: Read, Bash, Glob, Grep
version: 0.6.6
author: tonone-ai <hello@tonone.ai>
license: MIT
---
# lens-chart — BI & Analytics Chart Selection
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
## When to use
User needs chart type selection or visualization recommendations for analytics dashboards or BI contexts.
## Workflow
1. **Identify data type and BI context** from user request (sales trends, cohort analysis, funnel, KPI comparison, etc.)
2. **Search chart knowledge base:**
```bash
python3 -m lens_agent.uiux search --domain chart --query "{data_type}" --limit 3
```
3. **Search style for BI context:**
```bash
python3 -m lens_agent.uiux search --domain style --query "{context}" --limit 2
```
4. **Evaluate for BI requirements:** data density, drill-down capability, real-time support, library recommendation
5. **Output** optimized for decision-making, not decoration
## Output format
```
┌─ 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} │
└──────────────────────────────────────────────────────────────────────┘
```
## Anti-patterns
- Never choose decorative over data-dense visualizations for BI contexts
- Never skip the "does this answer a decision?" test — every chart must justify its inclusion
- Never skip accessibility fallback for charts graded below AA
- Never recommend real-time charts without confirming the data pipeline supports streaming
## Delivery
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.
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