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Use when asked to implement a chart, select a visualization type, or build a data display component. Examples: "implement chart for time series", "best visualization for comparison data", "chart component for analytics"
---
name: prism-chart-89fb75cc6736
description: |
Use when asked to implement a chart, select a visualization type, or build a
data display component. Examples: "implement chart for time series", "best
visualization for comparison data", "chart component for analytics"
allowed-tools: Read, Bash, Glob, Grep
version: 0.6.6
author: tonone-ai <hello@tonone.ai>
license: MIT
compatibility: Designed for Claude Code
tags: [engineering, frontend, chart]
---
# prism-chart — Chart & Visualization 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 a chart implementation, visualization type recommendation, or data display component.
## Workflow
1. **Identify data type** from user request (time series, comparison, distribution, composition, relationship, etc.)
2. **Search chart knowledge base:**
```bash
python3 -m prism_agent.uiux search --domain chart --query "{data_type}" --limit 3
```
3. **Evaluate results** for: data volume threshold, accessibility grade, interaction level
4. **Output** recommendation with library choice and accessibility fallback
## Output format
```
┌─ Chart Recommendation — {data_type} ────────────────────────────────┐
│ Chart type: {chart_type} │
│ Library: {library} (Chart.js / Recharts / D3 / Plotly) │
│ Accessibility: {grade} (AA / A / Below AA) │
│ Interaction level: {level} (static / hover / drill-down) │
│ Data volume: {threshold} (max recommended data points) │
├─ Color guidance ────────────────────────────────────────────────────┤
│ {color_guidance} │
├─ Accessibility fallback ────────────────────────────────────────────┤
│ {fallback_description} │
└──────────────────────────────────────────────────────────────────────┘
```
## Anti-patterns
- Never ignore data volume threshold — recommend aggregation if data exceeds it
- Never skip accessibility fallback for charts graded below AA
- Never choose a chart type based on visual appeal over data clarity
- Never recommend a library without confirming it is compatible with the detected stack
## 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.
---
name: prism-chart-89fb75cc6736
description: |
Use when asked to implement a chart, select a visualization type, or build a
data display component. Examples: "implement chart for time series", "best
visualization for comparison data", "chart component for analytics"
allowed-tools: Read, Bash, Glob, Grep
version: 0.6.6
author: tonone-ai <hello@tonone.ai>
license: MIT
compatibility: Designed for Claude Code
tags: [engineering, frontend, chart]
---
# prism-chart — Chart & Visualization 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 a chart implementation, visualization type recommendation, or data display component.
## Workflow
1. **Identify data type** from user request (time series, comparison, distribution, composition, relationship, etc.)
2. **Search chart knowledge base:**
```bash
python3 -m prism_agent.uiux search --domain chart --query "{data_type}" --limit 3
```
3. **Evaluate results** for: data volume threshold, accessibility grade, interaction level
4. **Output** recommendation with library choice and accessibility fallback
## Output format
```
┌─ Chart Recommendation — {data_type} ────────────────────────────────┐
│ Chart type: {chart_type} │
│ Library: {library} (Chart.js / Recharts / D3 / Plotly) │
│ Accessibility: {grade} (AA / A / Below AA) │
│ Interaction level: {level} (static / hover / drill-down) │
│ Data volume: {threshold} (max recommended data points) │
├─ Color guidance ────────────────────────────────────────────────────┤
│ {color_guidance} │
├─ Accessibility fallback ────────────────────────────────────────────┤
│ {fallback_description} │
└──────────────────────────────────────────────────────────────────────┘
```
## Anti-patterns
- Never ignore data volume threshold — recommend aggregation if data exceeds it
- Never skip accessibility fallback for charts graded below AA
- Never choose a chart type based on visual appeal over data clarity
- Never recommend a library without confirming it is compatible with the detected stack
## 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.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.