Setup & Installation

Install coos-quickie using the ClawHub CLI or OpenClaw CLI:

clawhub install 1coos-quickie

If the CLI is not installed:

npx clawhub@latest install 1coos-quickie

Or install with OpenClaw CLI:

openclaw skills install 1coos-quickie

View on ClawHub · View on GitHub

What This Skill Does

coos-quickie is a social-media skill for OpenClaw by 1coos.

Quickie — URL to Markdown

Grab any URL and save it as beautifully formatted Obsidian-style Markdown. Powered by x-reader for content extraction.

Usage

/1coos-quickie <text-containing-url> [--output-dir path] [--raw]

Parameters

Parameter Required Description
<text> Yes Any text containing a URL to fetch
--output-dir No Output directory (default: from config.json)
--raw No Skip formatting, output raw x-reader result
--config No Path to config.json

Supported Platforms

  • Video: YouTube, Bilibili
  • Social: Twitter/X, WeChat, Xiaohongshu (Little Red Book), Telegram
  • Feeds: RSS/Atom
  • General: Any HTTP/HTTPS URL

Configuration

Core parameters are configurable via config.json in the skill directory:

{
  "outputDir": "~/Documents/quickie",
  "formatting": {
    "maxWidth": 80,
    "listMarker": "-"
  },
  "reader": {
    "timeout": 120000
  }
}

CLI arguments always override config.json values.

Security Notice

This skill runs third-party code at runtime:

  • uvx fetches and executes x-reader from GitHub on each invocation
  • x-reader makes network requests to the target URL and platform-specific APIs (FxTwitter, etc.)
  • Output is written only to the configured local directory

Execution Instructions

When the user invokes this skill:

  1. Check prerequisites: Verify uvx is available by running which uvx. If missing, tell the user: "uvx is required but not found. Please install uv from https://docs.astral.sh/uv/getting-started/installation/ and try again." Do NOT run any install commands on behalf of the user.
  2. Run extraction: Execute the script using the skill's absolute path:
    bun run /path/to/skills/1coos-quickie/scripts/main.ts <user-arguments>
    
  3. Report results: Show the output file path, the extracted title, and a brief content summary.
  4. Handle errors:
    • Exit code 2: argument error (no URL found, invalid options)
    • Exit code 3: missing dependency (uvx not installed)
    • Exit code 4: x-reader fetch failure
    • Exit code 5: output write failure

Examples

# Grab a YouTube video transcript
/1coos-quickie https://www.youtube.com/watch?v=dQw4w9WgXcQ

# Save a tweet thread
/1coos-quickie 看看这条推特 https://x.com/user/status/123456 很有意思

# Clip an article with custom output
/1coos-quickie https://example.com/article --output-dir ~/notes/inbox

# Raw output without formatting
/1coos-quickie https://example.com/page --raw

Notes

  • First run caches x-reader dependencies; subsequent runs are faster
  • Output filename is derived from the content title or URL domain + date
  • Obsidian-style formatting includes: wikilinks, callout normalization, highlight syntax, table alignment, frontmatter formatting
  • Uses x-reader[all] for full platform support

Version History

Latest version: 1.0.1

First published: Apr 6, 2026. Last updated: Apr 6, 2026.

1 version released.

Frequently Asked Questions

Is coos-quickie free to use?
Yes. coos-quickie is a free, open-source skill available on the OpenClaw Skills Registry. You can install and use it at no cost, and the source code is publicly available for review and contribution.
What platforms does coos-quickie support?
It runs on any platform that supports OpenClaw, including macOS, Linux, and Windows. As long as you have the OpenClaw runtime installed, coos-quickie will work seamlessly across operating systems.
How do I update coos-quickie?
Run openclaw skills update 1coos-quickie to get the latest version. OpenClaw will download and apply the update automatically, preserving your existing configuration.
Can I use coos-quickie with other skills?
Yes. OpenClaw skills are composable — you can combine coos-quickie with any other installed skill in your workflows. This allows you to build powerful multi-step automations by chaining skills together.