Content To Video
architectds/modeldock
Turn arbitrary source content (README, article, story, slides, deck, data/report, product description, tutorial text, audio/transcript, or a bare topic) into a finished, high-quality MP4 video.
A skill your agent uses when the user asks for FFmpeg or FFprobe commands, video/audio conversion, trimming, resizing, padding, overlays, subtitles, thumbnails, GIFs, storyboards, slideshows…
Install Ffmpeg
$ npx skills add rendi-api/ffmpeg-cheatsheet --skill ffmpeg -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rendi-api/ffmpeg-cheatsheet ffmpeg --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/rendi-api/ffmpeg-cheatsheet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ffmpeg .claude/skills/ffmpeg && 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" agent skill from https://github.com/rendi-api/ffmpeg-cheatsheet/tree/main/skills/ffmpeg into .claude/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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/rendi-api/ffmpeg-cheatsheet/tree/main/skills/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 rendi-api/ffmpeg-cheatsheet --skill ffmpeg -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rendi-api/ffmpeg-cheatsheet ffmpeg --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rendi-api/ffmpeg-cheatsheet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ffmpeg .agents/skills/ffmpeg && 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" agent skill from https://github.com/rendi-api/ffmpeg-cheatsheet/tree/main/skills/ffmpeg into .agents/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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 rendi-api/ffmpeg-cheatsheet --skill ffmpeg -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rendi-api/ffmpeg-cheatsheet ffmpeg --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rendi-api/ffmpeg-cheatsheet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ffmpeg .cursor/skills/ffmpeg && 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" agent skill from https://github.com/rendi-api/ffmpeg-cheatsheet/tree/main/skills/ffmpeg into .cursor/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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/rendi-api/ffmpeg-cheatsheet.git --path skills/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 rendi-api/ffmpeg-cheatsheet --skill ffmpeg -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rendi-api/ffmpeg-cheatsheet ffmpeg --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rendi-api/ffmpeg-cheatsheet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ffmpeg .gemini/skills/ffmpeg && 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" agent skill from https://github.com/rendi-api/ffmpeg-cheatsheet/tree/main/skills/ffmpeg into .gemini/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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 rendi-api/ffmpeg-cheatsheet ffmpegInstalls 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 rendi-api/ffmpeg-cheatsheet --skill ffmpeg -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rendi-api/ffmpeg-cheatsheet.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ffmpeg .github/skills/ffmpeg && 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" agent skill from https://github.com/rendi-api/ffmpeg-cheatsheet/tree/main/skills/ffmpeg into .github/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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 rendi-api/ffmpeg-cheatsheet --skill ffmpeg -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rendi-api/ffmpeg-cheatsheet ffmpeg --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rendi-api/ffmpeg-cheatsheet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ffmpeg .opencode/skills/ffmpeg && 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" agent skill from https://github.com/rendi-api/ffmpeg-cheatsheet/tree/main/skills/ffmpeg into .opencode/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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- GitHub stars
- 1.7k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 406 words
- Files
- 2 (incl. references)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when the user asks for FFmpeg or FFprobe commands, video/audio conversion, trimming, resizing, padding, overlays, subtitles, thumbnails, GIFs, storyboards, slideshows…
- Works in 7 steps: Identify the user's source media,… → Prefer the simplest command that meets… → Use -c copy only when no filtering,… → …
- The user asks for FFmpeg
- SKILL.md covers Workflow, Defaults, Common command patterns and Gotchas, plus 1 more section
- Calls ffmpeg and ffprobe
What it does
Ffmpeg is an agent skill from rendi-api/ffmpeg-cheatsheet. Use when the user asks for FFmpeg or FFprobe commands, video/audio conversion, trimming, resizing, padding, overlays, subtitles, thumbnails, GIFs, storyboards, slideshows, social-media crops, codec settings, CRF/preset tuning, stream mapping, or troubleshooting media automation pipelines.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/command-patterns.md`).
It sits in Media & Creative, covering Video production, Transcription and Comics and storyboards. It works with FFmpeg. The repository describes itself as: A categorized collection of FFmpeg commands for video automation pipelines.
When your agent uses it
- The user asks for FFmpeg
- FFprobe commands
- Video/audio conversion
- Social-media crops
Example prompts
- “/ffmpeg”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Identify the user's source media, desired output container/codec, target dimensions/duration, and whether quality, speed, or file size…
- Prefer the simplest command that meets the goal.
- Use -c copy only when no filtering, re-encoding, precise trimming, subtitle burn-in, compression, or codec change is needed.
- Use explicit stream mapping when multiple inputs or outputs are involved.
- For commands with filters, quote the filter graph and name streams in filter_complex when it improves readability.
- Include -y only when the user wants non-interactive overwrite behavior.
- Validate command intent with ffprobe or a low-duration sample when practical.
What it can do on your machine
Read from SKILL.md and the folder at commit a9de5b1. 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:
ffmpegffprobe
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 loads about 1.2k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 406 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 406 words (~1,238 tokens).
“Use this skill to produce reliable, explainable FFmpeg/FFprobe commands for media automation.”
- name
- ffmpeg
Files
SKILL.md and 1 other file (references) in skills/ffmpeg of rendi-api/ffmpeg-cheatsheet.
- SKILL.md
- references/command-patterns.md
Open the folder on GitHubat commit a9de5b1
Compare with similar skills
Ffmpeg 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 this skillrendi-api/ffmpeg-cheatsheet | 1.7k | — | ~1.2k | Automated safety check: Pass | None | |
| Content To Videoarchitectds/modeldock | 117 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Auto MotionSma1lboy/rove | 146 | — | ~435 | Automated safety check: Pass | MIT | |
| Video Understandcalesthio/OpenMontage | 65k | — | ~841 | Automated safety check: Pass | AGPL-3.0 | |
| Karaoke CaptionsAI-Builder-Club/skills | 1.3k | — | ~850 | Automated safety check: Pass | None | |
| Paper Collage Explainer Generatortl2012tl/comfyUI-llama-TE | 239 | 4 repos | ~5.2k | Automated safety check: Pass | None |
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Related
Works with
Categories
Questions about Ffmpeg
What does Ffmpeg do?
A skill your agent uses when the user asks for FFmpeg or FFprobe commands, video/audio conversion, trimming, resizing, padding, overlays, subtitles, thumbnails, GIFs, storyboards, slideshows…. Ffmpeg is an agent skill from rendi-api/ffmpeg-cheatsheet. Use when the user asks for FFmpeg or FFprobe commands, video/audio conversion, trimming, resizing, padding, overlays, subtitles, thumbnails, GIFs, storyboards, slideshows, social-media crops, codec settings, CRF/preset tuning, stream mapping, or troubleshooting media automation pipelines.
When should I use Ffmpeg?
Ffmpeg fits situations like: the user asks for FFmpeg; FFprobe commands; video/audio conversion; social-media crops.
How do I install Ffmpeg in Claude Code?
Run `npx skills add rendi-api/ffmpeg-cheatsheet --skill ffmpeg -a claude-code`. Or copy the skill folder (skills/ffmpeg in rendi-api/ffmpeg-cheatsheet) into .claude/skills/ffmpeg in your project. Claude Code loads it when a task matches its description.
How do I install Ffmpeg in Codex?
Run `npx skills add rendi-api/ffmpeg-cheatsheet --skill ffmpeg -a codex`. Or copy the skill folder (skills/ffmpeg in rendi-api/ffmpeg-cheatsheet) into .agents/skills/ffmpeg in your project. Codex loads it when a task matches its description.
Can I use Ffmpeg 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 rendi-api/ffmpeg-cheatsheet --skill ffmpeg -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, .gemini/skills/ffmpeg, .github/skills/ffmpeg and .opencode/skills/ffmpeg in your project.
What does Ffmpeg need to run?
Going by SKILL.md and its folder, Ffmpeg needs the command-line tools its instructions call (ffmpeg and ffprobe).
Does Ffmpeg 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 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 use?
No licence was found for Ffmpeg or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Ffmpeg use?
About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.
What are the alternatives to Ffmpeg?
Skills that share tags, products or a category with Ffmpeg: Content To Video (architectds/modeldock, 117 stars), Auto Motion (Sma1lboy/rove, 146 stars), Video Understand (calesthio/OpenMontage, 65k stars) and Karaoke Captions (AI-Builder-Club/skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ffmpeg?
rendi-api (a GitHub organization) maintains it in rendi-api/ffmpeg-cheatsheet, which has 1,748 GitHub stars. The repository was last updated on April 29, 2026.
Source: rendi-api/ffmpeg-cheatsheet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.