Unified collection framework - supports RSS/Web/API, 207+ collection sources, AI scoring/classification/summary
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install common-fetcherOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install common-fetcherβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/common-fetcher/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Common-Fetcher can do for your AI workflow
Unified collection framework - directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Common-Fetcher
Help me get started with Common-Fetcher
Explains what Common-Fetcher does, walks through the setup, and runs a quick demo based on your current project
Use Common-Fetcher to unified collection framework - supports RSS/Web/API, 207+ collectio...
Invokes Common-Fetcher with the right parameters and returns the result directly in the conversation
What can I do with Common-Fetcher in my developer & devops workflow?
Lists the top use cases for Common-Fetcher, with example commands for each scenario
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Common-Fetcher extends your AI assistant with the ability to unified collection framework - supports RSS/Web/API, 207+ collection sources, AI scoring/classification/summary. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Common-Fetcher as its underlying capability.
Common-Fetcher works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Common-Fetcher once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Common-Fetcher installs like any other MCP skill: drop the folder into `~/.claude/skills/common-fetcher/` for global access, or `.claude/skills/common-fetcher/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/common-fetcher`, or let the AI decide when it's the right tool for your request.
Common-Fetcher has 529 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/common-fetcher/ for personal use (all projects), or .claude/skills/common-fetcher/ for project-specific use. Restart your AI client, then invoke with /common-fetcher or let the AI discover it automatically.
Common-Fetcher supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Common-Fetcher is free to install. Check the repository for licensing information.
Unified collection framework - supports RSS/Web/API, 207+ collection sources, AI scoring/classification/summary
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Automate my developer & devops tasks using Common-Fetcher
Identifies repetitive steps in your workflow and sets up Common-Fetcher to handle them automatically
Common-Fetcher is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.