heatmap-analysis
Analyze user interaction heatmaps for attention patterns and click behavior
Best use case
heatmap-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Analyze user interaction heatmaps for attention patterns and click behavior
Teams using heatmap-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/heatmap-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How heatmap-analysis Compares
| Feature / Agent | heatmap-analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Analyze user interaction heatmaps for attention patterns and click behavior
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Heatmap Analysis Skill
## Purpose
Analyze user interaction heatmaps to identify attention patterns, click concentrations, and scroll depth insights for UX optimization.
## Capabilities
- Parse heatmap data from analytics platforms
- Identify attention hotspots and cold zones
- Analyze click concentration patterns
- Measure scroll depth and engagement
- Generate attention flow visualizations
- Compare heatmaps across variants
## Target Processes
- user-research.js
- user-journey-mapping.js
- usability-testing.js
- information-architecture.js
## Integration Points
- Hotjar API
- Crazy Egg API
- Microsoft Clarity
- Custom heatmap data formats
## Input Schema
```json
{
"type": "object",
"properties": {
"dataSource": {
"type": "string",
"enum": ["hotjar", "crazyegg", "clarity", "custom"],
"description": "Heatmap data source"
},
"heatmapType": {
"type": "string",
"enum": ["click", "move", "scroll", "attention"],
"default": "click"
},
"dataPath": {
"type": "string",
"description": "Path to heatmap data file or API endpoint"
},
"pageUrl": {
"type": "string",
"description": "URL of the analyzed page"
},
"segmentation": {
"type": "object",
"properties": {
"device": { "type": "string" },
"dateRange": { "type": "object" }
}
},
"thresholds": {
"type": "object",
"properties": {
"hotspot": { "type": "number", "default": 0.7 },
"coldZone": { "type": "number", "default": 0.1 }
}
}
},
"required": ["dataSource", "dataPath"]
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"hotspots": {
"type": "array",
"description": "High-engagement areas"
},
"coldZones": {
"type": "array",
"description": "Low-engagement areas"
},
"scrollDepth": {
"type": "object",
"description": "Scroll depth percentiles"
},
"clickPatterns": {
"type": "array",
"description": "Click concentration analysis"
},
"recommendations": {
"type": "array",
"description": "UX improvement recommendations"
},
"visualizationPath": {
"type": "string",
"description": "Path to generated visualization"
}
}
}
```
## Usage Example
```javascript
const result = await skill.execute({
dataSource: 'hotjar',
heatmapType: 'click',
dataPath: './heatmap-export.json',
pageUrl: 'https://example.com/landing',
thresholds: { hotspot: 0.7, coldZone: 0.1 }
});
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