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Tencent SkillHub ยท Productivity

File Compression

Compress files to reduce storage and transfer size. Use this skill when users ask to shrink PDFs or images, optimize upload/share size, or balance quality an...

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High Signal

Compress files to reduce storage and transfer size. Use this skill when users ask to shrink PDFs or images, optimize upload/share size, or balance quality an...

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. 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
SKILL.md, package.json, requirements.txt, scripts/compress_image.py, scripts/compress_image_node.mjs, scripts/compress_pdf.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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

File Compression

Compress files with Python-first workflows and Node.js fallback workflows.

Supported File Types

PDF: .pdf Image: .jpg, .jpeg, .png, .webp

What This Skill Can Do

Compress PDF with preset quality levels. Compress image with quality/resize/format controls. Switch backend automatically when dependencies are missing. Detect bad compression results and retry with better strategy.

Installation Spec (Before Running)

Required binaries: python3 (recommended >= 3.8) node gs (Ghostscript, required for PDF Ghostscript paths) Python install spec: python3 -m pip install -r {baseDir}/requirements.txt Node install spec: cd {baseDir} npm install Ghostscript install examples: macOS: brew install ghostscript Ubuntu/Debian: sudo apt-get update && sudo apt-get install -y ghostscript Safety note: Explain to the user before each install command that third-party packages are being installed. If installation fails, report the failing command and switch to available fallback backend.

CLI Options Cheat Sheet

PDF (scripts/compress_pdf.py): --preset screen|ebook|printer|prepress --strategy auto|ghostscript|pikepdf --remove-metadata --no-linearize --overwrite PDF Node (scripts/compress_pdf_node.mjs): --preset screen|ebook|printer|prepress Image (scripts/compress_image.py): --quality <1-100> --format keep|jpeg|png|webp --max-width <n> --max-height <n> --strategy auto|pillow|node --overwrite Image Node (scripts/compress_image_node.mjs): --quality <1-100> --format keep|jpeg|png|webp --max-width <n> --max-height <n>

Example Set (Python + Node)

PDF default: python {baseDir}/scripts/compress_pdf.py in.pdf out.pdf PDF aggressive: python {baseDir}/scripts/compress_pdf.py in.pdf out.pdf --preset screen --strategy ghostscript PDF with pikepdf: python {baseDir}/scripts/compress_pdf.py in.pdf out.pdf --strategy pikepdf --remove-metadata PDF via Node: node {baseDir}/scripts/compress_pdf_node.mjs in.pdf out.pdf --preset ebook Image default: python {baseDir}/scripts/compress_image.py in.jpg out.jpg --quality 75 Image convert + resize: python {baseDir}/scripts/compress_image.py in.png out.webp --format webp --quality 72 --max-width 1920 Image force Node backend: python {baseDir}/scripts/compress_image.py in.jpg out.jpg --strategy node --quality 70 Image direct Node: node {baseDir}/scripts/compress_image_node.mjs in.jpg out.jpg --quality 70 --max-width 1600

Environment and Fallback

Check and install in this order: Python: python3 --version (fallback: python --version) Node: node --version Ghostscript: gs --version (required for PDF Ghostscript paths) Python deps when needed: pip install pikepdf pip install pillow Node deps when needed: npm install Fallback policy: PDF: ghostscript -> pikepdf -> node-ghostscript Image: pillow -> node-sharp If python3.8+ is unavailable, try python3.11/3.10/3.9/3.8; if still blocked, use Node flow when possible.

Execution Transparency

Always communicate each step: Tell user what you are checking or running. Show the exact command before execution. For slow steps (pip install, npm install, large Ghostscript jobs), say you are waiting. After each step, report result and next action.

Bad Result Recovery

When output_size >= input_size, do not stop: Report exact from/to numbers and compression ratio. Explain likely cause: PDF: already optimized, scanned-image content, metadata overhead, unsuitable preset. Image: unsuitable format conversion, quality too high, small-file overhead. Retry with alternate strategy: PDF: ebook -> screen, then switch backend. Image: lower quality, switch backend, convert to webp, optionally resize. Return the best attempt and state which command produced it.

Agent Response Contract

After every compression task, always return: Output absolute path. from <before_size> to <after_size>. saved <delta_size> (<ratio>%). Backend used.

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Scripts1 Docs1 Config1 Files
  • SKILL.md Primary doc
  • scripts/compress_image_node.mjs Scripts
  • scripts/compress_image.py Scripts
  • scripts/compress_pdf.py Scripts
  • package.json Config
  • requirements.txt Files