A powerful integration that delegates complex coding, refactoring, and codebase exploration tasks to the Claude Code CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claude-code-cli
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install claude-code-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Claude Code CLI skill enables your AI agent to leverage Anthropic's official terminal-based coding tool for deep repository interactions. By integrating with Openclaw Skills, developers can background long-running tasks like feature implementation or PR reviews while maintaining full control via PTY (pseudo-terminal) or headless modes. It bridges the gap between high-level agent instructions and low-level file manipulations, providing a robust environment for iterative development.
This skill is designed for technical workflows that require more than simple one-liner edits. It excels at tasks involving multiple files, complex logic changes, and environment-aware coding. Whether you are running it in an interactive mode to handle manual permissions or using headless pipe mode for CI/CD-like automation, it provides the flexibility needed for modern Openclaw Skills implementations.
To use this skill within your Openclaw Skills environment, you must first install the Claude Code CLI package globally using npm:
npm install -g @anthropic-ai/claude-code
Ensure that the claude binary is accessible in your system's PATH. No additional configuration is required within the skill itself, though you should ensure your terminal environment supports PTY allocation for interactive features.
| Element | Type | Description |
|---|---|---|
| sessionId | String | A unique identifier used to track, monitor, and resume background coding tasks. |
| permission-mode | String | Defines the safety guardrails, such as acceptEdits for automation or plan for read-only reviews. |
| output-format | String | Determines the response structure, supporting text, json, or stream-json. |
| max-budget-usd | Number | A safety cap that limits the API spend for a specific automated session. |
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