tapestry-skills-for-claude-code

🥈Silver

Tapestry Skills for Claude Code enables users to download and extract content from articles, PDFs, and YouTube video transcripts. Operations teams benefit by automating content extraction and integration into workflows. Connects to Claude Code for streamlined content processing and implementation.

352400Updated 1w ago

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/michalparkola/tapestry-skills-for-claude-code.git

Works with:

Claude

Overview

About This Skill

How to Use

["1. **Identify Content Source**: Determine the URL or file path of the article, PDF, or YouTube video you want to extract content from.","2. **Use the Prompt Template**: Copy the prompt template and replace [ARTICLE_URL] with the actual URL or file path.","3. **Run the Prompt in Claude Code**: Paste the customized prompt into Claude Code and execute it to extract and summarize the content.","4. **Review and Refine**: Check the output for accuracy and refine the prompt if necessary to get more specific or detailed results.","5. **Integrate into Workflows**: Use the extracted insights to update your operations manuals, training materials, or process documentation."]

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/michalparkola/tapestry-skills-for-claude-code

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

Extract the main points from this article: [ARTICLE_URL]. Summarize the key takeaways in bullet points. Then, identify 3 actionable insights that operations teams can implement based on the content. Format the output as a markdown list.

Example Output

Here are the main points from the article on 'Streamlining Supply Chain Operations':

- **Key Takeaways**:
  - Implementing AI-driven inventory management can reduce stockouts by up to 30%.
  - Automated demand forecasting improves accuracy by 25%.
  - Real-time data integration enhances decision-making speed.

- **Actionable Insights**:
  1. **Adopt AI Tools**: Integrate AI-driven inventory management systems like [InventoryAI] to optimize stock levels.
  2. **Enhance Forecasting**: Use automated demand forecasting tools such as [DemandSense] to improve accuracy.
  3. **Real-Time Data**: Implement real-time data integration platforms like [DataFlow] to streamline decision-making processes.