Zhongshu Skill Pack for Openclaw

A comprehensive starter kit featuring 10 core tools designed to empower Openclaw agents with file manipulation, terminal execution, and sub-agent management capabilities.

tpc1009
v1.0.0
Apr 8, 2026
0
701
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install learning-pack

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install learning-pack using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Zhongshu Skill Pack?

The Zhongshu Skill Pack is an essential collection of Openclaw Skills specifically curated for developers and beginners looking to extend the functional reach of their AI coding agents. By integrating this pack, agents gain the ability to interact directly with the local file system, execute shell commands, and manage complex workflows through sub-agents.

This pack serves as a foundational layer for any AI automation project, ensuring that your agent has the necessary primitives—like reading, writing, and searching files—to perform autonomous coding tasks. It bridges the gap between high-level LLM reasoning and low-level system execution within the Openclaw Skills ecosystem.

Zhongshu Skill Pack Use Cases

  • Automating repetitive file system operations such as bulk editing or searching across large directories.
  • Enabling AI agents to execute and debug code locally via the integrated BashTool.
  • Managing multi-agent workflows where a primary agent orchestrates specialized sub-agents using AgentTool.
  • Streamlining version control tasks by providing agents with git-aware capabilities for seamless repository management.

How Zhongshu Skill Pack Works

  1. The user installs the zhongshu-skill-pack via the Clawhub CLI to register the core tools with their local environment.
  2. Upon activation, the AI agent gains access to a suite of specialized tools ranging from FileEditTool to GrepTool.
  3. The agent receives a task and selects the appropriate tool from the Openclaw Skills library based on the requirement (e.g., using GlobTool to find files).
  4. Tools execute actions on the local system and return the results (stdout or file content) back to the agent's context window.
  5. The agent iterates on the task, utilizing the Git-aware module to commit changes or the AskUserQuestionTool if manual clarification is needed.

Zhongshu Skill Pack Setup

To install the Zhongshu Skill Pack and begin using these Openclaw Skills, run the following command in your terminal:

clawhub install zhongshu-skill-pack

Ensure you have the Openclaw environment initialized. Once installed, the 10 core tools will be available for your agent to call immediately.

Zhongshu Skill Pack Data Schema & Taxonomy

The skill pack organizes its functionality into 10 distinct tools. Below is the metadata taxonomy for the included Openclaw Skills:

Tool Name Primary Function Data Interaction
AgentTool Sub-agent Management Orchestrates child agent instances
FileEditTool File Modification Performs diffs and line-based edits
BashTool Shell Execution Captures stdout/stderr from commands
Glob/Grep Search Returns file paths and text matches
git-aware Version Control Interfaces with local .git metadata

Zhongshu Skill Pack Advanced Features

  • Support for recursive sub-agent spawning using the AgentTool for complex problem decomposition.
  • Integrated user feedback loop via AskUserQuestionTool to prevent autonomous errors in sensitive environments.
  • Advanced regex-based text searching using GrepTool across entire project workspaces.
  • State-aware file manipulation that ensures data integrity during concurrent FileWrite and FileEdit operations.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Github Stars: 0
forks: 0

Featured*