# skills-4

> skills-4 — hubentu-skills-4. Use this tool when you need to interact with Large Language Models (LLMs), MCP servers, and skills via a command-line interface (CLI). The coala-client CLI solves problems related to chat functionality, allowing users to input commands and receive output responses from connected models and servers. It is ideal for use cases requiring text-based communication with AI systems, taking in user input and generating relevant responses.

Canonical page: https://skillsregistry.net/skills/hubentu-skills-4  
JSON: https://api.skillsregistry.net/v1/skills/hubentu-skills-4

## Description

How to use the coala-client CLI for chat with LLMs, MCP servers, and skills.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-14

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/hubentu-skills-4)

## 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": "hubentu-skills-4"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hubentu-skills-4` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hubentu-skills-4/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