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
⚠ Flagged1 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.
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
- 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
- Determine segment (if video is long, ask user which portion):
- Full video: omit
--startand--duration - Segment: specify
--start SS --duration SS - Recommendation: GIFs should be 1-5 seconds. Warn if duration > 10s.
- Pre-flight check:
bash ~/.claude/skills/claude-gif/scripts/preflight.sh INPUT.mp4 OUTPUT.gif
- Convert:
bash ~/.claude/skills/claude-gif/scripts/gif_convert.sh \
--input INPUT.mp4 \
--preset web \
--output ~/Documents/gif_output/output.gif
- 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
- Identify images:
ls /path/to/frames/*.png | head -5
ls /path/to/frames/*.png | wc -l
- Verify order: Images should be named with sequential numbering (e.g.,
frame_001.png,frame_002.png). If not, they will be sorted alphabetically.
- Pre-flight check:
bash ~/.claude/skills/claude-gif/scripts/preflight.sh /path/to/frames/frame_001.png OUTPUT.gif
- 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
- 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
- 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
- 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-animateskill 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
- 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: infinitefor 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.
- Author: AgriciDaniel
- Source: AgriciDaniel/claude-gif
- License: MIT
- Homepage: https://agricidaniel.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.