claude-skills-hub

🥈Silver

Claude Skills Hub - 150+ Free Claude Skills for Enhanced AI Coding. A marketplace of expert-crafted workflows to boost your Claude Code experience.

710Updated Today

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/CavinHuang/claude-skills-hub.git

Works with:

Claude

Overview

About This Skill

Claude Skills Hub - 150+ Free Claude Skills for Enhanced AI Coding. A marketplace of expert-crafted workflows to boost your Claude Code experience.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/CavinHuang/claude-skills-hub

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I want to use the Claude Skills Hub to automate a repetitive task. I need a skill that can [TASK]. Can you recommend a relevant skill from the hub and explain how to implement it?

Example Output

## Recommended Skill: Data Extraction Automation

**Description**: This skill automates the extraction of structured data from unstructured text, such as emails, reports, or web pages.

**How to Implement**:
1. **Install the Skill**: Go to the Claude Skills Hub and search for 'Data Extraction Automation'. Click on the skill and follow the installation instructions.
2. **Prepare Your Data**: Ensure your data is in a format that the skill can process (e.g., text files, emails, or web pages).
3. **Run the Skill**: Use the following command in Claude Code: `!data_extraction [FILE_PATH]`
4. **Review the Output**: The skill will return structured data in JSON format, which you can then use for further analysis or processing.

**Example Output**:
```json
{
  "extracted_data": [
    {
      "field1": "value1",
      "field2": "value2"
    },
    {
      "field1": "value3",
      "field2": "value4"
    }
  ]
}
```