Tencent SkillHub · AI

Video Analyzer

Download, transcribe, and analyze videos from YouTube, X/Twitter, and TikTok with local Whisper processing. Perfect for extracting TL;DRs, timestamps, and ac...

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High Signal

Download, transcribe, and analyze videos from YouTube, X/Twitter, and TikTok with local Whisper processing. Perfect for extracting TL;DRs, timestamps, and ac...

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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.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, assets/banner.svg, scripts/analyze_video.py

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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: minilozio
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

Video Analyzer 🎥

A tool to download, transcribe, and analyze videos from any platform using a smart two-tier system (yt-dlp for fast subtitles, local whisper-cpp for robust fallback).

How to Use

When the user asks you to summarize, transcribe, or download a video/audio from a URL, use the bundled python script: uv run {baseDir}/scripts/analyze_video.py --action <ACTION> --url "<URL>" [--quality <normal|max>] [--lang <en|it|etc>]

Supported Actions:

transcript: Extracts the text with timestamps. Use this when the user asks for a summary or transcript. download-video: Downloads the video as MP4 to the Desktop. download-audio: Downloads the audio as M4A/MP3 to the Desktop.

Analyzing a Video (IMPORTANT)

If the user asks for a summary, analysis, or key moments:
Run the script with --action transcript.
The script will output the path to a .txt file containing the timestamped transcript.
Read that file.
Output your response EXACTLY in this Markdown format:
## 📝 TL;DR
[A punchy 3-sentence summary of the video's core message]
## ⏱️ Key Moments
[MM:SS] [Brief description of what is discussed]
[MM:SS] [Brief description of what is discussed]
[MM:SS] [Brief description of what is discussed]
*(Extract 3 to 7 key moments depending on video length)*
## 💡 Actionable Insights
1. [Practical takeaway 1]
2. [Practical takeaway 2]
3. [Practical takeaway 3]
---

Local Whisper Quality

If the script needs to fall back to Whisper (e.g., for X/Twitter videos), it uses normal by default: normal: Fast (~1 min for 30 min video) — Default max: Best quality (~5 min for 30 min video) — use --quality max when accuracy is critical

Multilingual Support

All Whisper models are multilingual by default. The skill can transcribe videos in any language (Italian, Spanish, Japanese, etc.). IMPORTANT: Always respond to the user in THEIR language, not the video's language. If the user speaks Italian but sends an English video, give them the summary in Italian.

Finding specific moments

The transcript includes precise timestamps like [05:53] text.... If the user asks "When do they talk about X?", grep the transcript and return the exact timestamp from the file.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs1 Scripts1 Assets

SKILL.md Primary doc
README.md Docs
scripts/analyze_video.py Scripts
assets/banner.svg Assets