Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Other
gpu-cluster-monitor
Monitors GPU cluster health and usage, providing real-time status, performance metrics, and alerts for efficient resource management.
skill openclawclawhub Free
Monitors GPU cluster health and usage, providing real-time status, performance metrics, and alerts for efficient resource management.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- package.json, SKILL.md, assets/main_handler.js, assets/youtube_handler.js
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- SounderLiu
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
A high-performance engineering tool for deep web scraping. It uses a containerized Docker + Crawlee (Playwright) environment to penetrate protections on complex websites like YouTube and X/Twitter, providing "interception-level" raw data.
Requirements
Docker: Must be installed and running on the host machine. Image: Build the environment with the tag clawd-crawlee. Build command: docker build -t clawd-crawlee skills/deep-scraper/
Integration Guide
Simply copy the skills/deep-scraper directory into your skills/ folder. Ensure the Dockerfile remains within the skill directory for self-contained deployment.
Standard Interface (CLI)
docker run -t --rm -v $(pwd)/skills/deep-scraper/assets:/usr/src/app/assets clawd-crawlee node assets/main_handler.js [TARGET_URL]
Output Specification (JSON)
The scraping results are printed to stdout as a JSON string: status: SUCCESS | PARTIAL | ERROR type: TRANSCRIPT | DESCRIPTION | GENERIC videoId: (For YouTube) The validated Video ID. data: The core text content or transcript.
Core Rules
ID Validation: All YouTube tasks MUST verify the Video ID to prevent cache contamination. Privacy: Strictly forbidden from scraping password-protected or non-public personal information. Alpha-Focused: Automatically strips ads and noise, delivering pure data optimized for LLM processing.
Category context
Long-tail utilities that do not fit the current primary taxonomy cleanly.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs1 Config
- SKILL.md
- assets/main_handler.js
- assets/youtube_handler.js
- package.json