Render Absurdist Explainer
gooseworks-ai/goose-skills
Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical…
Extract key frames (I-frames) from video files using FFmpeg command line tool.
Install Ffmpeg Keyframe Extraction
$ npx skills add majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry ffmpeg-keyframe-extraction --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/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bash/ffmpeg .claude/skills/ffmpeg-keyframe-extraction && 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 "ffmpeg-keyframe-extraction" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/ffmpeg into .claude/skills/ffmpeg-keyframe-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-keyframe-extraction", 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/majiayu000/claude-skill-registry/tree/main/skills/bash/ffmpegType 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 majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry ffmpeg-keyframe-extraction --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/bash/ffmpeg .agents/skills/ffmpeg-keyframe-extraction && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ffmpeg-keyframe-extraction" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/ffmpeg into .agents/skills/ffmpeg-keyframe-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-keyframe-extraction", 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 majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry ffmpeg-keyframe-extraction --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/bash/ffmpeg .cursor/skills/ffmpeg-keyframe-extraction && 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 "ffmpeg-keyframe-extraction" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/ffmpeg into .cursor/skills/ffmpeg-keyframe-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-keyframe-extraction", 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/majiayu000/claude-skill-registry.git --path skills/bash/ffmpeg--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 majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry ffmpeg-keyframe-extraction --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/bash/ffmpeg .gemini/skills/ffmpeg-keyframe-extraction && 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 "ffmpeg-keyframe-extraction" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/ffmpeg into .gemini/skills/ffmpeg-keyframe-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-keyframe-extraction", 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 majiayu000/claude-skill-registry ffmpeg-keyframe-extractionInstalls 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 majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/bash/ffmpeg .github/skills/ffmpeg-keyframe-extraction && 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 "ffmpeg-keyframe-extraction" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/ffmpeg into .github/skills/ffmpeg-keyframe-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-keyframe-extraction", 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 majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry ffmpeg-keyframe-extraction --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/bash/ffmpeg .opencode/skills/ffmpeg-keyframe-extraction && 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 "ffmpeg-keyframe-extraction" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/bash/ffmpeg into .opencode/skills/ffmpeg-keyframe-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-keyframe-extraction", 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.
Facts
- Skill name
ffmpeg-keyframe-extraction- GitHub stars
- 666
- Used in
- 1 other repo
- Token cost
- ~499 tokens
- SKILL.md length
- 75 words
- Files
- 2
- Skills in repo
- 1,273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Extract key frames (I-frames) from video files using FFmpeg command line tool.
- The user needs to pull out keyframes
- SKILL.md covers Prerequisites and Methods
- Calls ffmpeg
- Important frames from MP4
What it does
Ffmpeg Keyframe Extraction is an agent skill from majiayu000/claude-skill-registry. Extract key frames (I-frames) from video files using FFmpeg command line tool. Use this skill when the user needs to pull out keyframes, thumbnails, or important frames from MP4, MKV, AVI, or other video formats for analysis, previews, or processing.
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Media & Creative, covering Video production. It works with FFmpeg and Bash. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
When your agent uses it
- The user needs to pull out keyframes
- Important frames from MP4
- Other video formats for analysis
Example prompts
- “/ffmpeg-keyframe-extraction”
What it can do on your machine
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
ffmpeg
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ffmpeg Keyframe Extraction loads about 499 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 75 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 75 words, ~499 tokens.
Download SKILL.mdSave it as
.claude/skills/ffmpeg-keyframe-extraction/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- ffmpeg-keyframe-extraction
- description
- Extract key frames (I-frames) from video files using FFmpeg command line tool. Use this skill when the user needs to pull out keyframes, thumbnails, or important frames from MP4, MKV, AVI, or other video formats for analysis, previews, or processing.
- license
- Complete terms in LICENSE.txt
FFmpeg Keyframe Extraction
Extract key frames (I-frames) from video files using FFmpeg CLI.
Prerequisites
- FFmpeg installed and available in PATH
- Input video file (MP4, MKV, AVI, MOV, etc.)
Methods
Method 1: Select Filter (More Control)
ffmpeg -i <input_video> -vf "select='eq(pict_type,I)'" -vsync vfr <output_pattern>
Method 2: Skip Frame (Faster)
ffmpeg -skip_frame nokey -i <input_video> -vsync vfr <output_pattern>
Key Options
Option Description
-i <file> Input video file
-vf "select='eq(pict_type,I)'" Filter selecting only I-frames
-skip_frame nokey Skip decoding non-keyframes (performance)
-vsync vfr Variable frame rate, prevents duplicates
-q:v <n> Quality (1-31, lower = better, for JPEG)
-frame_pts 1 Use presentation timestamp in filename
Output Patterns
frame_%03d.png - PNG sequence (frame_001.png, frame_002.png...)
frame_%03d.jpg - JPEG sequence
frame_%d.bmp - BMP sequence
Examples
Basic PNG extraction:ffmpeg -i video.mp4 -vf "select='eq(pict_type,I)'" -vsync vfr keyframe_%03d.png High-quality JPEG:
ffmpeg -i video.mp4 -skip_frame nokey -vsync vfr -q:v 2 keyframe_%03d.jpg With timestamps:
ffmpeg -i video.mp4 -vf "select='eq(pict_type,I)'" -vsync vfr -frame_pts 1 keyframe_%d.png
To specific directory:
ffmpeg -i video.mp4 -vf "select='eq(pict_type,I)'" -vsync vfr ./output/keyframe_%03d.png
## Notes
Method 2 (-skip_frame nokey) is faster as it skips decoding non-keyframes
Method 1 offers more filtering flexibility (can combine with other filters)
Keyframe frequency depends on video encoding settings
Use -vsync vfr to avoid duplicate frames in output© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/bash/ffmpeg of majiayu000/claude-skill-registry.
- SKILL.md
- metadata.json
Open the folder on GitHubat commit 2d14a69
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 8, 2026.
Compare with similar skills
Ffmpeg Keyframe Extraction 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 |
|---|---|---|---|---|---|---|
| Ffmpeg Keyframe Extraction this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~499 | Automated safety check: Pass | MIT | |
| Render Absurdist Explainergooseworks-ai/goose-skills | 1.2k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Remotion Best Practiceslyonjs/shortvid.io | 147 | 33 repos | ~1k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 59k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Video Synceternityspring/reelbench-skills | 868 | 2 repos | ~1k | Automated safety check: Notes | Apache-2.0 | |
| Vox DirectorAlisa0808/vox-director | 2.2k | — | ~5.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Ffmpeg Keyframe Extraction
What does Ffmpeg Keyframe Extraction do?
Extract key frames (I-frames) from video files using FFmpeg command line tool. Ffmpeg Keyframe Extraction is an agent skill from majiayu000/claude-skill-registry. Extract key frames (I-frames) from video files using FFmpeg command line tool.
When should I use Ffmpeg Keyframe Extraction?
Ffmpeg Keyframe Extraction fits situations like: the user needs to pull out keyframes; important frames from MP4; other video formats for analysis.
How do I install Ffmpeg Keyframe Extraction in Claude Code?
Run `npx skills add majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a claude-code`. Or copy the skill folder (skills/bash/ffmpeg in majiayu000/claude-skill-registry) into .claude/skills/ffmpeg-keyframe-extraction in your project. Claude Code loads it when a task matches its description.
How do I install Ffmpeg Keyframe Extraction in Codex?
Run `npx skills add majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a codex`. Or copy the skill folder (skills/bash/ffmpeg in majiayu000/claude-skill-registry) into .agents/skills/ffmpeg-keyframe-extraction in your project. Codex loads it when a task matches its description.
Can I use Ffmpeg Keyframe Extraction in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill ffmpeg-keyframe-extraction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ffmpeg-keyframe-extraction, .gemini/skills/ffmpeg-keyframe-extraction, .github/skills/ffmpeg-keyframe-extraction and .opencode/skills/ffmpeg-keyframe-extraction in your project.
What does Ffmpeg Keyframe Extraction need to run?
Going by SKILL.md and its folder, Ffmpeg Keyframe Extraction needs the command-line tools its instructions call (ffmpeg).
Does Ffmpeg Keyframe Extraction access the network?
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.
Is Ffmpeg Keyframe Extraction safe to install?
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. Review the folder before installing.
What licence does Ffmpeg Keyframe Extraction use?
Ffmpeg Keyframe Extraction is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ffmpeg Keyframe Extraction use?
About 499 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Ffmpeg Keyframe Extraction?
Skills that share tags, products or a category with Ffmpeg Keyframe Extraction: Render Absurdist Explainer (gooseworks-ai/goose-skills, 1.2k stars), Remotion Best Practices (lyonjs/shortvid.io, 147 stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars) and Video Sync (eternityspring/reelbench-skills, 868 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ffmpeg Keyframe Extraction?
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.