heatmap-analysis
Analyze user interaction heatmaps for attention patterns and click behavior
npx skills add a5c-ai/babysitter --skill heatmap-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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" }, "d
- Purpose
- Capabilities
- Target Processes
- Integration Points
- Input Schema
- Output Schema
- Usage Example
What does the heatmap-analysis skill do?
Analyze user interaction heatmaps for attention patterns and click behavior
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill heatmap-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.