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SKILL unreviewed MIT Self-run

Claude Gif Convert

skill-agricidaniel-claude-gif-claude-gif-convert · by AgriciDaniel

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Install

$ agentstack add skill-agricidaniel-claude-gif-claude-gif-convert

Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Destructive filesystem operation.

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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:

| Input | Mode | Pipeline | |-------|------|----------| | .mp4, .webm, .mov, .avi, .mkv | A: Video to GIF | ffprobe analyze --> gifconvert.sh | | Directory of .png/.jpg/.webp images | B: Image Sequence | glob + sort --> gifframes.py | | Text description of progressive scenes | C: AI Image Sequence | AI generate N frames --> gif_frames.py | | .svg file (animated or static to animate) | D: SVG to Transparent GIF | Playwright 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:
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.
  1. Pre-flight check:
bash ~/.claude/skills/claude-gif/scripts/preflight.sh INPUT.mp4 OUTPUT.gif
  1. Convert:
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 ~/.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:
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.
  1. Pre-flight check:
bash ~/.claude/skills/claude-gif/scripts/preflight.sh /path/to/frames/frame_001.png OUTPUT.gif
  1. Assemble:
~/.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
  1. 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):

~/.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:
~/.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 `, @keyframes`, or GSAP animations

Procedure

  1. Analyze the SVG: Check for animation type and duration.
grep -E ' /tmp/claude-gif/capture_svg.js  {
  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 

  body { margin: 0; background: transparent; overflow: hidden; }
  svg { width: 480px; height: 480px; }

  
  • 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

| Error | Cause | Fix | |-------|-------|-----| | No such file or directory | Input path wrong | Verify with ls, use absolute paths | | Huge GIF (>20MB) | Long video, high res | Trim duration, reduce width, use preset | | No transparency in output | SVG has opaque background | Add omitBackground: true, check SVG has no ` background | | Playwright not installed | Missing dependency | npx playwright install chromium | | Frames out of order | Non-sequential naming | Use --sort natural` in gif_frames.py | | Choppy animation | Too few frames or low FPS | Increase FPS or capture more frames |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.