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Claude Gif Convert

Community
AgriciDaniel
claude-gif-convert

Convert video files, image sequences, and animated SVGs to optimized GIFs. Mode A: Video to GIF (FFmpeg two-pass palette). Mode B: Image sequence to GIF. Mode C: AI image sequence to GIF (Gemini/FLUX.2 progressive prompts). Mode D: Animated SVG to transparent GIF (Playwright + FFmpeg). Use when user says "video to gif", "convert to gif", "screen recording gif", "images to gif", "photo sequence gif", "stop motion", "frames to gif", "svg to gif", "transparent gif", "animated svg to gif".

Overview

PublisherAgriciDaniel
Repositoryclaude-gif
Skill nameclaude-gif-convert
Stars
31
Forks
8
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Claude Gif Convert AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AgriciDaniel/claude-gif/tree/main/skills/claude-gif-convert
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-gif.git /tmp/claude-gif
mkdir -p .claude/skills
cp -r /tmp/claude-gif/skills/claude-gif-convert .claude/skills/claude-gif-convert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claude Gif Convert in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Claude Gif Convert on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Claude Gif Convert is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

claude-gif-convert -- Video, Image, and SVG to GIF Conversion

Four conversion modes for turning any visual source into an optimized GIF.

Mode Detection

Determine the mode from the input:

InputModePipeline
.mp4, .webm, .mov, .avi, .mkvA: Video to GIFffprobe analyze --> gif_convert.sh
Directory of .png/.jpg/.webp imagesB: Image Sequenceglob + sort --> gif_frames.py
Text description of progressive scenesC: AI Image SequenceAI generate N frames --> gif_frames.py
.svg file (animated or static to animate)D: SVG to Transparent GIFPlaywright capture --> FFmpeg palette

Mode A: Video to GIF

Convert a video file to an optimized GIF using FFmpeg two-pass palette generation.

Procedure

  1. Analyze source video:
bash
ffprobe -v error -show_entries format=duration,size -show_entries stream=width,height,r_frame_rate,codec_name -of json INPUT.mp4
  1. Determine segment (if video is long, ask user which portion):

    • Full video: omit --start and --duration
    • Segment: specify --start SS --duration SS
    • Recommendation: GIFs should be 1-5 seconds. Warn if duration > 10s.
  2. Pre-flight check:

bash
bash ~/.claude/skills/claude-gif/scripts/preflight.sh INPUT.mp4 OUTPUT.gif
  1. Convert:
bash
bash ~/.claude/skills/claude-gif/scripts/gif_convert.sh \
  --input INPUT.mp4 \
  --preset web \
  --output ~/Documents/gif_output/output.gif
  1. Report result (gif_convert.sh outputs JSON with size, dimensions, settings).

Preset Selection Guide

  • User says "for Discord" or file must be tiny --> --preset discord
  • User says "for Slack" --> --preset slack
  • User says "for Twitter/X" --> --preset twitter
  • User says "high quality" or "best quality" --> --preset hq
  • No preference stated --> --preset web
  • User specifies exact dimensions/fps --> omit preset, pass explicit flags

Advanced Options

bash
bash ~/.claude/skills/claude-gif/scripts/gif_convert.sh \
  --input INPUT.mp4 \
  --fps 12 \
  --width 320 \
  --start 5.5 \
  --duration 3 \
  --dither bayer:bayer_scale=3 \
  --stats-mode diff \
  --colors 128 \
  --loop 0 \
  --output ~/Documents/gif_output/output.gif

Mode B: Image Sequence to GIF

Assemble a directory of images (PNG, JPG, WebP) into a GIF.

Procedure

  1. Identify images:
bash
ls /path/to/frames/*.png | head -5
ls /path/to/frames/*.png | wc -l
  1. Verify order: Images should be named with sequential numbering (e.g., frame_001.png, frame_002.png). If not, they will be sorted alphabetically.

  2. Pre-flight check:

bash
bash ~/.claude/skills/claude-gif/scripts/preflight.sh /path/to/frames/frame_001.png OUTPUT.gif
  1. Assemble:
bash
~/.video-skill/bin/python3 ~/.claude/skills/claude-gif/scripts/gif_frames.py \
  --input-dir /path/to/frames/ \
  --pattern "*.png" \
  --fps 15 \
  --width 480 \
  --preset web \
  --output ~/Documents/gif_output/sequence.gif

Options

  • --input-dir: Directory containing frame images
  • --pattern: Glob pattern to match frames (default: *.png)
  • --fps: Playback frame rate
  • --width: Output width (height auto-calculated)
  • --preset: Quality preset (discord/slack/twitter/web/hq)
  • --output: Output GIF path
  • --sort: Sort order: name (default), mtime, natural

Mode C: AI Image Sequence to GIF

Generate N image frames using AI (Gemini via banana MCP or FLUX.2) with progressive prompt changes, then assemble into a stop-motion or animated GIF.

Procedure

  1. Plan the sequence: Determine what changes between frames.

    • Example: "sunrise over mountains" -- 8 frames from dark blue to golden yellow
    • Example: "flower blooming" -- 12 frames from bud to full bloom
  2. Generate frames using progressive prompts:

Option A: Gemini via banana MCP tool (recommended for consistency):

For each frame i (0 to N-1):
  gemini_generate_image with prompt:
    "Frame {i+1} of {N}: [base description], [progressive change at stage i/N],
     consistent style, flat illustration, limited color palette, square format"

Option B: FLUX.2 via image_generate.py (local, no API cost):

bash
~/.video-skill/bin/python3 ~/.claude/skills/claude-video/scripts/image_generate.py \
  --prompt "Frame {i} of {N}: [description with progressive change]" \
  --width 512 \
  --height 512 \
  --output /tmp/claude-gif/frames/frame_{i:04d}.png
  1. Assemble frames:
bash
~/.video-skill/bin/python3 ~/.claude/skills/claude-gif/scripts/gif_frames.py \
  --input-dir /tmp/claude-gif/frames/ \
  --fps 4 \
  --width 480 \
  --preset web \
  --output ~/Documents/gif_output/ai_sequence.gif

Low FPS (2-6) works best for AI image sequences since each frame is a distinct "scene".

Tips for AI Image Sequences

  • Consistency is hard: AI models may vary style between frames. Mitigate by:
    • Including strong style anchors in every prompt ("pixel art style", "watercolor style")
    • Using the same seed if the tool supports it
    • Keeping the composition simple and consistent
  • Frame count: 6-12 frames is the sweet spot (more = more variation = less consistent)
  • Low FPS: 2-6 fps gives a charming stop-motion look and hides inter-frame inconsistency

Mode D: Animated SVG to Transparent GIF

Convert an animated SVG (CSS animations, SMIL, or JavaScript) to a GIF with transparency support. Uses Playwright headless Chromium to capture frames.

When to Use

  • Converting SVG animations from the svg-animate skill to shareable GIFs
  • Creating transparent logo animations for embedding
  • Making animated icons, stickers, or UI elements with transparency
  • Any SVG with <animate>, @keyframes, or GSAP animations

Procedure

  1. Analyze the SVG: Check for animation type and duration.
bash
grep -E '<animate|@keyframes|animation:|requestAnimationFrame' input.svg | head -5
  1. Determine animation duration: Parse from CSS animation-duration or SMIL dur attribute.

  2. Create Playwright capture script:

bash
cat > /tmp/claude-gif/capture_svg.js << 'SCRIPT'
const { chromium } = require('playwright');

(async () => {
  const svgPath = process.argv[2];
  const outputDir = process.argv[3];
  const fps = parseInt(process.argv[4] || '15');
  const durationMs = parseInt(process.argv[5] || '3000');
  const width = parseInt(process.argv[6] || '480');
  const height = parseInt(process.argv[7] || '480');

  const totalFrames = Math.ceil((durationMs / 1000) * fps);
  const frameInterval = durationMs / totalFrames;

  const browser = await chromium.launch();
  const page = await browser.newPage();
  await page.setViewportSize({ width, height });

  // Load SVG with transparent background
  const svgUrl = `file://${svgPath}`;
  await page.goto(svgUrl, { waitUntil: 'networkidle' });

  // Inject transparent background
  await page.evaluate(() => {
    document.body.style.background = 'transparent';
    document.documentElement.style.background = 'transparent';
  });

  // Capture frames
  for (let i = 0; i < totalFrames; i++) {
    const frameNum = String(i).padStart(4, '0');
    await page.screenshot({
      path: `${outputDir}/frame_${frameNum}.png`,
      omitBackground: true,  // Transparency support
    });
    await page.waitForTimeout(frameInterval);
  }

  await browser.close();
  console.log(JSON.stringify({ frames: totalFrames, fps, duration_ms: durationMs }));
})();
SCRIPT
  1. Capture frames:
bash
mkdir -p /tmp/claude-gif/svg_frames
node /tmp/claude-gif/capture_svg.js \
  "$(realpath input.svg)" \
  /tmp/claude-gif/svg_frames \
  15 \
  3000 \
  480 \
  480
  1. Assemble with transparency using FFmpeg two-pass with reserve_transparent=1:
bash
# Pass 1: Generate palette with transparency reserved
ffmpeg -y -framerate 15 -i /tmp/claude-gif/svg_frames/frame_%04d.png \
  -vf "palettegen=reserve_transparent=1:stats_mode=diff:max_colors=255" \
  /tmp/claude-gif/palette.png

# Pass 2: Apply palette with transparency
ffmpeg -n -framerate 15 -i /tmp/claude-gif/svg_frames/frame_%04d.png \
  -i /tmp/claude-gif/palette.png \
  -lavfi "paletteuse=dither=bayer:bayer_scale=3:alpha_threshold=128" \
  -loop 0 \
  ~/Documents/gif_output/transparent.gif

Key FFmpeg flags for transparent GIFs:

  • reserve_transparent=1: Reserves one palette slot for transparency
  • max_colors=255: 255 colors + 1 transparent = 256 total
  • stats_mode=diff: Only analyze changing pixels (optimal for animations)
  • alpha_threshold=128: Pixels with alpha < 128 become transparent (adjust 0-255)
  • dither=bayer:bayer_scale=3: Ordered dithering works best with transparency
  1. Cleanup:
bash
rm -rf /tmp/claude-gif/svg_frames /tmp/claude-gif/capture_svg.js /tmp/claude-gif/palette.png

SVG Preparation Tips

  • SVGs should have explicit width and height attributes (not just viewBox)
  • If the SVG uses percentage-based sizing, wrap it in an HTML file:
html
<!DOCTYPE html>
<html><head><style>
  body { margin: 0; background: transparent; overflow: hidden; }
  svg { width: 480px; height: 480px; }
</style></head>
<body>
  <!-- SVG content here -->
</body></html>
  • CSS animations: ensure animation-iteration-count: infinite for seamless capture
  • SMIL animations: set repeatCount="indefinite"

Output Conventions

  • Default output directory: ~/Documents/gif_output/
  • Naming: descriptive, lowercase, underscores: campfire_loop.gif, logo_transparent.gif
  • Always report final file size, dimensions, frame count, and duration
  • If result exceeds target platform size, suggest running through claude-gif-optimize

Error Recovery

ErrorCauseFix
No such file or directoryInput path wrongVerify with ls, use absolute paths
Huge GIF (>20MB)Long video, high resTrim duration, reduce width, use preset
No transparency in outputSVG has opaque backgroundAdd omitBackground: true, check SVG has no <rect> background
Playwright not installedMissing dependencynpx playwright install chromium
Frames out of orderNon-sequential namingUse --sort natural in gif_frames.py
Choppy animationToo few frames or low FPSIncrease FPS or capture more frames

Frequently asked questions

What does the Claude Gif Convert AI skill do?

Convert video files, image sequences, and animated SVGs to optimized GIFs. Mode A: Video to GIF (FFmpeg two-pass palette). Mode B: Image sequence to GIF. Mode C: AI image sequence to GIF (Gemini/FLUX.2 progressive prompts). Mode D: Animated SVG to transparent GIF (Playwright + FFmpeg). Use when user says "video to gif", "convert to gif", "screen recording gif", "images to gif", "photo sequence gif", "stop motion", "frames to gif", "svg to gif", "transparent gif", "animated svg to gif".

Why use Claude Gif Convert on TypingMind?

Because you install it once and use it with any model. Claude Gif Convert is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Claude Gif Convert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-gif/tree/main/skills/claude-gif-convert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Claude Gif Convert?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Claude Gif Convert?

As many as you like. As long as a model supports skills, you can use Claude Gif Convert with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Claude Gif Convert AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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