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video-to-gif Skill

AI Agent SkillDesign & MediaPowerShellOpen source

Video-to-GIF conversion with FFmpeg two-pass optimization Published by microsoft in hve-core.

Decision snapshot

Is this a fit?

Best for

Documentation, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is video-to-gif Skill?

Video-to-GIF conversion with FFmpeg two-pass optimization Published by microsoft in hve-core. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
77/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Design and media
  • Documentation use cases
  • Design and media use cases

Declared skill metadata

  • Declared license: MIT
  • Compatibility: Requires FFmpeg on PATH
  • Source file: .github/skills/experimental/video-to-gif/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use video-to-gif Skill

  • Use it for documentation.
  • Use it for design and media.

Built with

PowerShellCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/hve-core
  • Skill file: .github/skills/experimental/video-to-gif/SKILL.md

What it does

Video-to-GIF conversion with FFmpeg two-pass optimization

Skill instructions

Video-to-GIF Conversion Skill This skill converts video files to optimized GIF animations using FFmpeg two-pass palette optimization. Overview The two-pass conversion process generates superior quality GIFs compared to single-pass approaches. Pass one analyzes the video and creates an optimized color palette. Pass two applies that palette to produce the final GIF with better color fidelity and smaller file sizes. Response Format After successful conversion, include a file link to the GIF in the response with the absolute file path: markdown /absolute/path/to/filename.gif This allows the user to open the file and review it. Prerequisites FFmpeg is required and must be available in your system PATH. macOS bash brew install ffmpeg Linux (Debian/Ubuntu) bash sudo apt update && sudo apt install ffmpeg Windows Using Chocolatey: powershell choco install ffmpeg Using winget: powershell winget install FFmpeg.FFmpeg Verify installation: bash ffmpeg -version Quick Start Convert a video using defa

Verified compatibility and discovery

Frequently asked questions

What is video-to-gif?

video-to-gif is a open-source AI agent skill with Copy skill directory. Video-to-GIF conversion with FFmpeg two-pass optimization

Who is video-to-gif best for?

video-to-gif is best for reusing agent instructions, scripts, and references, documentation workflows, design and media workflows.

How do I install video-to-gif?

Install or run video-to-gif using Copy skill directory. Check video-to-gif for the latest setup command.

Is video-to-gif actively maintained?

video-to-gif may need a closer maintenance check before production use.

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Stars
1,263
Forks
229
Last commit
2 months ago
Last verified
Aug 27, 2026
Metadata fetched
Aug 27, 2026
Repository age
10 months
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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