LaunchKit · 2026
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skills-4

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

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by @hubentu

Setup & Installation

openclaw skills install @hubentu/skills-4

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install skills-4

What This Skill Does

coala-client is a CLI tool for chatting with OpenAI-compatible LLMs and connecting to MCP (Model Context Protocol) servers. It supports importing CWL toolsets as MCP servers, loading skills into context, and optionally running shell commands in a sandbox.

Combines LLM chat, MCP server management, and skill loading in a single CLI without requiring separate tooling for each.

When to use it

  • Chat with a local Ollama model without an API key
  • Import a CWL toolset and call its tools from the command line
  • Load a skill file into chat context mid-session
  • Switch between OpenAI, Gemini, and Ollama providers in one tool
  • Run a single prompt against MCP tools with coala ask

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: how do I call an MCP tool for gene variant lookup

AGENT
  1. 1Run coala init to create config files
  2. 2Import the gene-variant CWL toolset with coala mcp-import
  3. 3Run coala mcp-list gene-variant to inspect available tools
  4. 4Call the tool directly with coala mcp-call gene-variant.ncbi_datasets_gene --args '{"data":[{"gene":"TP53","taxon":"human"}'
OUTPUT

Tool returns gene data for TP53 in human without starting a full chat session

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

OPENAI_API_KEY environment variable (for OpenAI provider)GEMINI_API_KEY environment variable (for Gemini provider)