# genpark-agent-action-trajectory-video-summarizer-skill

> genpark-agent-action-trajectory-video-summarizer-skill — alpha-park-genpark-agent-action-trajectory-video-summarizer-skill. Use this tool when you need to summarize complex user interaction sequences and identify inefficiencies in GUI applications, such as dead clicks and UI rendering latency stalls. It takes in multi-frame action trajectories as input and outputs a condensed video summary, highlighting areas for improvement. Ideal for optimizing user experience and streamlining computer-based workflows, particularly in development environments like git.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-agent-action-trajectory-video-summarizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-action-trajectory-video-summarizer-skill

## Description

Multi-frame GUI computer-use action trajectory summarizer detecting dead clicks and UI rendering latency stalls

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-agent-action-trajectory-video-summarizer-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alpha-park-genpark-agent-action-trajectory-video-summarizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-action-trajectory-video-summarizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-action-trajectory-video-summarizer-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt