clipper

Fetch, classify, and route clippings from Obsidian, iOS, and web sources.

Updated Mar 23, 2026
One-click install
npx skills add https://github.com/roycolumbia-code/claude-global-config --skill clipper-roycolumbia-code
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clipper
Source: https://github.com/roycolumbia-code/claude-global-config/tree/main/skills/clipper
Command: npx skills add https://github.com/roycolumbia-code/claude-global-config --skill clipper-roycolumbia-code

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, re, os, json, pathlib, datetime, urllib, subprocess, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of managing clippings from different sources like Obsidian, iOS, and the web, ensuring efficient processing and easy access to valuable information.

Core Features & Use Cases

  • Clipping Management: Automatically process clippings from various sources like Obsidian, iOS, and web pages.
  • Content Fetching: Fetch content from URLs and extract information.
  • Classification and Routing: Classify and route content to appropriate categories such as 'skill-install', 'hook-config', and 'noise'.
  • User Interaction: Interactively engage with the user for decisions on the actions to be taken.
  • Action Execution: Execute actions like installing skills, appending tips, or discarding noise.
  • File Deletion: Deletes the original clipping file after processing to prevent reprocessing.
  • Use Case: Imagine you have a collection of articles and links that you want to process for potential skills or knowledge. Use this Skill to automatically classify and manage these clippings, saving you time and effort.

Quick Start

Run the '/clipper' command to process the clippings from the 'Idee/' folder.

Frequently Asked Questions about clipper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically classify and manage web clippings from Obsidian and iOS?

Automate clipping management by fetching content from URLs and routing items to categories like 'skill-install', 'hook-config', or 'noise'. It processes clippings from sources like Obsidian and iOS, then interactively prompts you for action decisions before executing them.

What is the best way to process a folder of mixed articles and links for potential skills?

Process mixed articles and links by running a command to scan your designated clipping folder. The system automatically fetches URL content, classifies the information, and helps you install skills, append tips, or discard noise, saving manual sorting effort.

Does clipping management and content fetching require specific Python libraries?

Content fetching and clipping management require standard Python libraries including requests, re, os, json, pathlib, datetime, urllib, and subprocess for parsing, file management, and executing action routines.

How does the system handle original clipping files after processing?

After processing and classifying content, the system automatically deletes the original clipping file. This file deletion prevents duplicate reprocessing and keeps your clipping directory clean and organized.

Can I interactively decide what happens to clipped content during categorization?

Yes, user interaction is built into the classification process. After fetching and categorizing your content, the system interactively engages with you to confirm whether to install skills, append tips, or discard noise.

What are the limitations of automating clipping management for information organization?

Automated clipping management relies on predefined categories like 'skill-install' and 'hook-config'. Content outside these classifications is routed as noise, and original files are permanently deleted after processing, requiring careful review before execution.