# genpark-collaborative-block-terminal-command-assistant-skill

> genpark-collaborative-block-terminal-command-assistant-skill — alphaparkinc-genpark-collaborative-block-terminal-command-assistant-skill. Use this tool when you need to execute terminal commands using natural language or collaborate on code blocks with git integration. It solves problems of complex command-line interactions and version control by providing an intuitive interface for users to input commands and receive outputs. Ideal for use cases involving git workflows, coding, and collaborative development.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-collaborative-block-terminal-command-assistant-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-collaborative-block-terminal-command-assistant-skill

## Description

Collaborative block terminal natural language command assistant (Warp style)

## 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/alphaparkinc/genpark-collaborative-block-terminal-command-assistant-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": "alphaparkinc-genpark-collaborative-block-terminal-command-assistant-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-collaborative-block-terminal-command-assistant-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-collaborative-block-terminal-command-assistant-skill/pull`

---
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