HyperFrames Animation
heygen-com/hyperframes
Collects motion rules, scene blueprints, transitions and runtime adapters for HyperFrames video compositions, with GSAP as the default animation runtime.
Convert video clips to optimized GIFs with speed control, cropping, text overlays, and file size optimization.
$ npx skills add nicepkg/ai-workflow --skill video-to-gif -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nicepkg/ai-workflow video-to-gif --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/video-to-gif .claude/skills/video-to-gif && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-to-gif" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-to-gif into .claude/skills/video-to-gif/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-gif", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-to-gifType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nicepkg/ai-workflow --skill video-to-gif -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nicepkg/ai-workflow video-to-gif --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/video-to-gif .agents/skills/video-to-gif && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-to-gif" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-to-gif into .agents/skills/video-to-gif/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-gif", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nicepkg/ai-workflow --skill video-to-gif -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nicepkg/ai-workflow video-to-gif --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/video-to-gif .cursor/skills/video-to-gif && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-to-gif" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-to-gif into .cursor/skills/video-to-gif/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-gif", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nicepkg/ai-workflow.git --path workflows/video-creator-workflow/.claude/skills/video-to-gif--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nicepkg/ai-workflow --skill video-to-gif -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nicepkg/ai-workflow video-to-gif --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/video-to-gif .gemini/skills/video-to-gif && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-to-gif" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-to-gif into .gemini/skills/video-to-gif/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-gif", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nicepkg/ai-workflow video-to-gifInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nicepkg/ai-workflow --skill video-to-gif -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/video-to-gif .github/skills/video-to-gif && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-to-gif" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-to-gif into .github/skills/video-to-gif/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-gif", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nicepkg/ai-workflow --skill video-to-gif -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nicepkg/ai-workflow video-to-gif --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/video-creator-workflow/.claude/skills/video-to-gif .opencode/skills/video-to-gif && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-to-gif" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/video-creator-workflow/.claude/skills/video-to-gif into .opencode/skills/video-to-gif/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-gif", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
video-to-gifConvert video clips to optimized GIFs with speed control, cropping, text overlays, and file size optimization.
Video To Gif is an agent skill from nicepkg/ai-workflow. Convert video clips to optimized GIFs with speed control, cropping, text overlays, and file size optimization. Create perfect GIFs for social media, documentation, and presentations.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/gif_workshop.py`).
It sits in Media & Creative, covering Video production. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d167b41. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video To Gif loads about 2k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 320 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 320 words, ~2,039 tokens.
.claude/skills/video-to-gif/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Transform video clips into high-quality, optimized GIFs perfect for social media, documentation, tutorials, and presentations. Features precise timing control, text overlays, effects, and intelligent file size optimization.
from scripts.gif_workshop import GifWorkshop
# Basic conversion
workshop = GifWorkshop("video.mp4")
workshop.to_gif("output.gif")
# With options
workshop = GifWorkshop("video.mp4")
workshop.clip(start=5, end=10) # 5-10 seconds
workshop.resize(width=480) # Resize to 480px wide
workshop.set_fps(15) # 15 frames per second
workshop.optimize(max_size_kb=500) # Max 500KB
workshop.to_gif("output.gif")from scripts.gif_workshop import GifWorkshop
# From file
workshop = GifWorkshop("video.mp4")
# With initial settings
workshop = GifWorkshop("video.mp4", fps=15, width=480)# By time (seconds)
workshop.clip(start=5, end=15) # 5s to 15s
# By time string
workshop.clip(start="00:01:30", end="00:01:45") # 1:30 to 1:45
# From start or to end
workshop.clip(start=10) # From 10s to end
workshop.clip(end=5) # First 5 seconds
# Multiple clips
workshop.clip_multi([
(0, 3),
(10, 15),
(20, 25)
]) # Concatenates clips# Speed up
workshop.speed(2.0) # 2x faster
# Slow motion
workshop.speed(0.5) # Half speed
# Reverse
workshop.reverse()
# Boomerang effect (forward then reverse)
workshop.boomerang()# Resize by width (maintain aspect)
workshop.resize(width=480)
# Resize by height
workshop.resize(height=360)
# Exact dimensions
workshop.resize(width=480, height=360)
# Crop to region
workshop.crop(x=100, y=50, width=400, height=300)
# Crop to aspect ratio
workshop.crop_to_aspect(16, 9) # 16:9
workshop.crop_to_aspect(1, 1) # Square# Simple text overlay
workshop.add_text(
"Hello World!",
position='bottom',
fontsize=24,
color='white'
)
# Text with timing
workshop.add_text(
"Watch this!",
position='top',
start_time=0,
end_time=3 # Show for first 3 seconds
)
# Multiple text overlays
workshop.add_text("Step 1", position='top-left', start_time=0, end_time=2)
workshop.add_text("Step 2", position='top-left', start_time=2, end_time=4)
# Caption bar
workshop.add_caption_bar(
"This is a caption",
position='bottom',
background='black',
padding=10
)# Color filters
workshop.filter('grayscale')
workshop.filter('sepia')
# Adjustments
workshop.adjust(brightness=0.1, contrast=0.2)
# Fade in/out
workshop.fade_in(duration=0.5)
workshop.fade_out(duration=0.5)
# Blur
workshop.blur(intensity=2)# Target file size
workshop.optimize(max_size_kb=500)
# Quality settings
workshop.optimize(
quality='medium', # 'low', 'medium', 'high'
colors=128 # Color palette size (2-256)
)
# Manual FPS control
workshop.set_fps(10) # Lower FPS = smaller file
# Lossy compression
workshop.optimize(lossy=80) # 0-100, higher = more compression# Basic export
workshop.to_gif("output.gif")
# With options
workshop.to_gif(
"output.gif",
optimize=True,
colors=256,
loop=0 # 0 = infinite loop, 1+ = loop count
)
# Export as video (for comparison)
workshop.to_video("output.mp4")
# Export frames
workshop.export_frames("frames/", format='png')# Social media presets
workshop.preset('twitter') # 512px wide, 5MB max
workshop.preset('discord') # 256px, 8MB max
workshop.preset('slack') # 480px, 5MB max
workshop.preset('reddit') # 720px, optimized
# Quality presets
workshop.preset('high') # High quality, larger file
workshop.preset('medium') # Balanced
workshop.preset('low') # Small file, lower quality
# Special presets
workshop.preset('thumbnail') # Small preview GIF
workshop.preset('reaction') # Reaction GIF (small, fast)| Position | Description |
|---|---|
'top' | Top center |
'bottom' | Bottom center |
'center' | Center of frame |
'top-left' | Top left corner |
'top-right' | Top right corner |
'bottom-left' | Bottom left corner |
'bottom-right' | Bottom right corner |
# Get best frame (thumbnail)
best_frame = workshop.get_best_frame()
best_frame.save("thumbnail.png")
# Extract frame at time
frame = workshop.get_frame_at(5.5) # Frame at 5.5 seconds
frame.save("frame.png")
# Extract all frames
workshop.export_frames("frames/", format='png')info = workshop.get_info()
print(f"Duration: {info['duration']} seconds")
print(f"Size: {info['width']}x{info['height']}")
print(f"FPS: {info['fps']}")
print(f"Frames: {info['frame_count']}")# Apply custom function to each frame
def custom_filter(frame):
# frame is a PIL Image
return frame.rotate(5)
workshop.apply_filter(custom_filter)# Join multiple clips
workshop.concat([
"intro.mp4",
"main.mp4",
"outro.mp4"
])# Basic conversion
python gif_workshop.py video.mp4 -o output.gif
# With clip selection
python gif_workshop.py video.mp4 -o output.gif --start 5 --end 15
# With options
python gif_workshop.py video.mp4 -o output.gif \
--width 480 \
--fps 15 \
--speed 1.5 \
--max-size 500
# With text
python gif_workshop.py video.mp4 -o output.gif \
--text "Hello World" \
--text-position bottom
# Apply preset
python gif_workshop.py video.mp4 -o output.gif --preset twitter| Preset | Width | FPS | Colors | Use Case |
|---|---|---|---|---|
reaction | 256px | 10 | 64 | Quick reactions |
low | 320px | 12 | 128 | Basic sharing |
medium | 480px | 15 | 256 | General use |
high | 640px | 20 | 256 | High quality |
max | Original | 24 | 256 | Best quality |
from scripts.gif_workshop import GifWorkshop, GifError
try:
workshop = GifWorkshop("video.mp4")
workshop.clip(start=0, end=100) # May exceed video length
workshop.to_gif("output.gif")
except GifError as e:
print(f"Error: {e}")
except FileNotFoundError:
print("Video file not found")moviepy>=1.0.3
Pillow>=10.0.0
imageio>=2.31.0
numpy>=1.24.0© nicepkg, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in workflows/video-creator-workflow/.claude/skills/video-to-gif of nicepkg/ai-workflow.
Open the folder on GitHubat commit d167b41
Video To Gif next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video To Gif this skillnicepkg/ai-workflow | 285 | — | ~2k | Automated safety check: Pass | MIT | |
| HyperFrames Animationheygen-com/hyperframes | 60k | 3 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 | |
| Faceless Explainer Videoheygen-com/hyperframes | 60k | 3 repos | ~7.7k | Automated safety check: Notes | Apache-2.0 | |
| Video Understandcalesthio/OpenMontage | 66k | — | ~841 | Automated safety check: Pass | AGPL-3.0 | |
| Video ShotcraftVincentwei1021/video-shotcraft | 11k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 |
heygen-com/hyperframes
Collects motion rules, scene blueprints, transitions and runtime adapters for HyperFrames video compositions, with GSAP as the default animation runtime.
google-labs-code/stitch-skills
Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
heygen-com/hyperframes
Turns an article, notes or a topic brief into an explainer video whose visuals are invented per scene, built frame by frame in HyperFrames with no footage.
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
Vincentwei1021/video-shotcraft
Makes cinematic product videos with Remotion from shot recipe cards, a ready template, real page screenshots, camera moves and sound design, or builds a single animated shot.
heygen-com/hyperframes
Imports Figma assets, brand tokens, components and motion into a HyperFrames video composition, using the Figma REST API with a connector or native export for shaders.
nicepkg/ai-workflow
Processes Drafts Pro captures from the Inbox folder. An agent skill from nicepkg/ai-workflow.
nicepkg/ai-workflow
Transform legacy codebases into AI-ready projects with Claude Code configurations.
nicepkg/ai-workflow
Writing coach that extracts educational content from your daily experiences and turns it into publish-ready newsletter drafts.
nicepkg/ai-workflow
Content web architecture framework. An agent skill from nicepkg/ai-workflow.
nicepkg/ai-workflow
Create complete Claude Code workflow directories with curated skills.
nicepkg/ai-workflow
Video/audio/image processing with FFmpeg and ImageMagick. An agent skill from nicepkg/ai-workflow.
Categories
Convert video clips to optimized GIFs with speed control, cropping, text overlays, and file size optimization. Video To Gif is an agent skill from nicepkg/ai-workflow. Convert video clips to optimized GIFs with speed control, cropping, text overlays, and file size optimization.
Video To Gif fits situations like: tasks that involve Video production.
Run `npx skills add nicepkg/ai-workflow --skill video-to-gif -a claude-code`. Or copy the skill folder (workflows/video-creator-workflow/.claude/skills/video-to-gif in nicepkg/ai-workflow) into .claude/skills/video-to-gif in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nicepkg/ai-workflow --skill video-to-gif -a codex`. Or copy the skill folder (workflows/video-creator-workflow/.claude/skills/video-to-gif in nicepkg/ai-workflow) into .agents/skills/video-to-gif in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nicepkg/ai-workflow --skill video-to-gif -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-to-gif, .gemini/skills/video-to-gif, .github/skills/video-to-gif and .opencode/skills/video-to-gif in your project.
Going by SKILL.md and its folder, Video To Gif needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Video To Gif is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Video To Gif: HyperFrames Animation (heygen-com/hyperframes, 60k stars), Stitch to Remotion Walkthrough Videos (google-labs-code/stitch-skills, 8.5k stars), Faceless Explainer Video (heygen-com/hyperframes, 60k stars) and Video Understand (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on January 20, 2026.
Source: nicepkg/ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.