# Can See

> Use this tool when you need to interact with command-line interfaces in an automated way, such as debugging or automating workflows. Can See creates virtual terminals, captures screenshots, and sends keystrokes to CLI applications, allowing for interactive control and inspection of terminal states. It is ideal for use cases requiring automated terminal interaction, such as testing or automation workflows with tools like Claude Code.

Canonical page: https://skillsregistry.net/skills/hurleysk-can-see  
JSON: https://api.skillsregistry.net/v1/skills/hurleysk-can-see

## Description

Can See creates virtual terminals, captures their state as PNG screenshots, and allows AI agents to send keystrokes and text to running CLI applications. It enables interactive terminal control for debugging and automation workflows, with tools for waiting on specific output patterns, recording animated GIFs, reading scrollback history, and diffing terminal states. Built for use with Claude Code and similar MCP clients that need to interact with interactive command-line interfaces.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hurleysk-can-see)
- **Repository:** <https://github.com/hurleysk/can-see>

## 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": "hurleysk-can-see"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hurleysk-can-see` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hurleysk-can-see/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