Token导航 LogoToken导航TokenDH.com
待分类操作浏览器github未标认证来源可访问许可证需确认审计通过

gif-generationgif 生成

Agent Skill

gif-generation 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

582

周安装

25

GitHub Stars

264

下载量

204
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gif-generation(gif 生成)
来源仓库:https://github.com/athola/claude-night-market
仓库路径:skills/gif-generation
安装命令:
npx skills add https://github.com/athola/claude-night-market --skill gif-generation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/athola/claude-night-market --skill gif-generation

简介

gif-generation 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在开发协作中整理相关事项。

  • 适用于围绕仓库状态、代码变更或协作事项进行信息整理和分析的场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态,注意是否触发联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Table of Contents

GIF Generation Skill

Post-process video files (webm/mp4) and generate optimized GIF output with configurable quality settings.

When To Use

  • Converting recordings to animated GIF format
  • Creating lightweight demo animations

When NOT To Use

  • High-quality video output - use full recording tools
  • Static image generation without animation needs

Overview

This skill handles the conversion of video recordings (typically from browser automation) to GIF format. It provides multiple quality presets and optimization options to balance file size with visual quality.

Required TodoWrite Items

- Validate input video file exists
- Check ffmpeg installation
- Execute GIF conversion
- Verify output and report results

Verification: Run the command with --help flag to verify availability.

Process

Step 1: Validate Input File

Confirm the source video file exists and is a supported format:

# Check file exists and get info
if [[ -f "$INPUT_FILE" ]]; then
    file "$INPUT_FILE"
    ffprobe -v quiet -show_format -show_streams "$INPUT_FILE" 2>/dev/null | head -20
else
    echo "Error: Input file not found: $INPUT_FILE"
    exit 1
fi

Verification: Run the command with --help flag to verify availability.

Supported input formats: .webm, .mp4, .mov, .avi

Step 2: Check ffmpeg Installation

Verify ffmpeg is available:

if ! command -v ffmpeg &> /dev/null; then
    echo "Error: ffmpeg is not installed"
    echo "Install with: sudo apt install ffmpeg (Linux) or brew install ffmpeg (macOS)"
    exit 1
fi
ffmpeg -version | head -1

Verification: Run the command with --help flag to verify availability.

Step 3: Execute Conversion

Choose the appropriate conversion command based on quality requirements:

Basic Conversion (Fast, Larger File)

ffmpeg -i input.webm -vf "fps=10,scale=800:-1" output.gif

Verification: Run the command with --help flag to verify availability.

High Quality with Palette Generation (Recommended)

ffmpeg -i input.webm -vf "fps=10,scale=800:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" output.gif

Verification: Run the command with --help flag to verify availability.

Maximum Quality with Dithering

ffmpeg -i input.webm -vf "fps=15,scale=1024:-1:flags=lanczos,split[s0][s1];[s0]palettegen=max_colors=256:stats_mode=single[p];[s1][p]paletteuse=dither=bayer:bayer_scale=5" output.gif

Verification: Run the command with --help flag to verify availability.

Optimization Options

OptionDescriptionRecommended Value
fpsFrames per second10-15 for smooth, 5-8 for smaller files
scaleWidth in pixels (-1 maintains aspect ratio)800 for web, 480 for thumbnails
flags=lanczosHigh-quality scaling algorithmAlways use for best quality
palettegenGenerate optimized color paletteUse for quality-critical output
ditherDithering algorithmbayer for patterns, floyd_steinberg for smooth

Common Presets

# Thumbnail (small, fast loading)
ffmpeg -i input.webm -vf "fps=8,scale=480:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" thumbnail.gif

# Documentation (balanced)
ffmpeg -i input.webm -vf "fps=10,scale=800:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" docs.gif

# High-fidelity demo
ffmpeg -i input.webm -vf "fps=15,scale=1024:-1:flags=lanczos,split[s0][s1];[s0]palettegen=max_colors=256[p];[s1][p]paletteuse" demo.gif

Verification: Run the command with --help flag to verify availability.

Step 4: Verify Output

Confirm successful conversion and report metrics:

if [[ -f "$OUTPUT_FILE" ]]; then
    echo "GIF generated successfully: $OUTPUT_FILE"

    # Report file size
    SIZE=$(du -h "$OUTPUT_FILE" | cut -f1)
    echo "File size: $SIZE"

    # Get dimensions and frame count
    ffprobe -v quiet -select_streams v:0 -show_entries stream=width,height,nb_frames -of csv=p=0 "$OUTPUT_FILE"
else
    echo "Error: GIF generation failed"
    exit 1
fi

Verification: Run the command with --help flag to verify availability.

Exit Criteria

  • Input file validated as existing video format
  • ffmpeg confirmed available
  • GIF file created at specified output path
  • Output file size reported to user
  • No ffmpeg errors during conversion

Troubleshooting

Large Output File

Reduce quality settings:

# Lower fps and resolution
ffmpeg -i input.webm -vf "fps=8,scale=640:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" smaller.gif

Verification: Run the command with --help flag to verify availability.

Color Banding

Use dithering:

ffmpeg -i input.webm -vf "fps=10,scale=800:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse=dither=floyd_steinberg" smooth.gif

Verification: Run the command with --help flag to verify availability.

Slow Conversion

Use basic conversion without palette generation for speed:

ffmpeg -i input.webm -vf "fps=10,scale=800:-1" quick.gif

Verification: Run the command with --help flag to verify availability.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.42%
按下载量换算68

Claude

28.1%
按下载量换算57

Cursor

20.18%
按下载量换算41

Gemini CLI

9.87%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills