# agentclip

> Use this tool when you need to visualize and share AI agent runs in a concise and engaging format. Agentclip solves the problem of communicating complex agent workflows by converting them into shareable, Loom-style slideshow URLs. It takes AI agent run data as input and outputs a interactive slideshow, making it ideal for collaborating on and presenting AI projects, especially those managed through git.

Canonical page: https://skillsregistry.net/skills/ericelizes1-agentclip  
JSON: https://api.skillsregistry.net/v1/skills/ericelizes1-agentclip

## Description

Open-source MCP tool that turns AI agent runs into shareable slideshows. Watch any agent's work as a Loom-style URL.

## Trust

- **Trust score (0–1):** 0.02
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [GitHub](https://github.com/ericelizes1/agentclip)

## 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": "ericelizes1-agentclip"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ericelizes1-agentclip` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ericelizes1-agentclip/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