Agent skill

Ffmpeg Format Conversion

by benchflow-ai in benchflow-ai/skillsbench

Convert media files between formats - video containers, audio formats, and codec transcoding

Apache-2.0Auto-check passedMedia & Creative

Install Ffmpeg Format Conversion

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-format-conversion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench ffmpeg-format-conversion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion .claude/skills/ffmpeg-format-conversion && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "ffmpeg-format-conversion" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion into .claude/skills/ffmpeg-format-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-format-conversion", 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

$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion

Type 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.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-format-conversion -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench ffmpeg-format-conversion --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion .agents/skills/ffmpeg-format-conversion && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ffmpeg-format-conversion" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion into .agents/skills/ffmpeg-format-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-format-conversion", 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.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-format-conversion -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench ffmpeg-format-conversion --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion .cursor/skills/ffmpeg-format-conversion && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ffmpeg-format-conversion" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion into .cursor/skills/ffmpeg-format-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-format-conversion", 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

$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-format-conversion -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench ffmpeg-format-conversion --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion .gemini/skills/ffmpeg-format-conversion && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "ffmpeg-format-conversion" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion into .gemini/skills/ffmpeg-format-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-format-conversion", 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.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench ffmpeg-format-conversion

Installs 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).

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-format-conversion -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion .github/skills/ffmpeg-format-conversion && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "ffmpeg-format-conversion" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion into .github/skills/ffmpeg-format-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-format-conversion", 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.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-format-conversion -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench ffmpeg-format-conversion --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion .opencode/skills/ffmpeg-format-conversion && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ffmpeg-format-conversion" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion into .opencode/skills/ffmpeg-format-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-format-conversion", 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-format-conversion
GitHub stars: 1.8k
Token cost: ~698 tokens
SKILL.md length: 117 words
Files: 1
Skills in repo: 178
Repo updated: Jul 23, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Convert media files between formats - video containers, audio formats, and codec transcoding

Tasks that involve Video production
SKILL.md covers When to Use, Basic Conversion, Video Codec Conversion and Audio Format Conversion, plus 5 more sections
Calls ffmpeg

What it does

Ffmpeg Format Conversion is an agent skill from benchflow-ai/skillsbench. Convert media files between formats - video containers, audio formats, and codec transcoding

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Video production. It works with FFmpeg. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Video production

Example prompts

“/ffmpeg-format-conversion”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a1f4dd. 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 Format Conversion loads about 698 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 117 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~29
When it runs · the whole SKILL.md, loaded when a task matches: ~698

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 benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 117 words, ~698 tokens.

Download SKILL.mdSave it as .claude/skills/ffmpeg-format-conversion/SKILL.md (or your agent's skills folder).

name: ffmpeg-format-conversion
description: Convert media files between formats - video containers, audio formats, and codec transcoding

FFmpeg Format Conversion Skill

Convert media files between different formats and containers.

When to Use

Convert video containers (MP4, MKV, AVI, etc.)
Convert audio formats (MP3, AAC, WAV, etc.)
Transcode to different codecs
Copy streams without re-encoding (fast)

Basic Conversion

bash

# Convert container format (re-encode)
ffmpeg -i input.avi output.mp4

# Copy streams without re-encoding (fast, no quality loss)
ffmpeg -i input.mp4 -c copy output.mkv

# Convert with specific codec
ffmpeg -i input.mp4 -c:v libx264 -c:a aac output.mp4

Video Codec Conversion

bash

# H.264
ffmpeg -i input.mp4 -c:v libx264 output.mp4

# H.265 (better compression)
ffmpeg -i input.mp4 -c:v libx265 output.mp4

# VP9 (web optimized)
ffmpeg -i input.mp4 -c:v libvpx-vp9 output.webm

# AV1 (modern codec)
ffmpeg -i input.mp4 -c:v libaom-av1 output.mp4

Audio Format Conversion

bash

# MP3
ffmpeg -i input.wav -acodec libmp3lame -q:a 2 output.mp3

# AAC
ffmpeg -i input.wav -c:a aac -b:a 192k output.m4a

# Opus (best quality/bitrate)
ffmpeg -i input.wav -c:a libopus -b:a 128k output.opus

# FLAC (lossless)
ffmpeg -i input.wav -c:a flac output.flac

Quality Settings

bash

# CRF (Constant Rate Factor) - lower is better quality
ffmpeg -i input.mp4 -c:v libx264 -crf 23 output.mp4

# Bitrate
ffmpeg -i input.mp4 -b:v 2M -b:a 192k output.mp4

# Two-pass encoding (best quality)
ffmpeg -i input.mp4 -c:v libx264 -b:v 2M -pass 1 -f null /dev/null
ffmpeg -i input.mp4 -c:v libx264 -b:v 2M -pass 2 output.mp4

Presets

bash

# Encoding speed presets (faster = larger file)
ffmpeg -i input.mp4 -c:v libx264 -preset fast output.mp4
# Options: ultrafast, superfast, veryfast, faster, fast, medium, slow, slower, veryslow

# Quality presets
ffmpeg -i input.mp4 -c:v libx264 -preset slow -crf 18 output.mp4

Batch Conversion

bash

# Convert all MKV to MP4
for f in *.mkv; do
  ffmpeg -i "$f" -c copy "${f%.mkv}.mp4"
done

# Convert with re-encoding
for f in *.avi; do
  ffmpeg -i "$f" -c:v libx264 -c:a aac "${f%.avi}.mp4"
done

Common Codecs

Video

H.264 (libx264) - Universal compatibility
H.265 (libx265) - Better compression
VP9 (libvpx-vp9) - Open standard
AV1 (libaom-av1) - Modern codec

Audio

AAC (aac) - Universal
MP3 (libmp3lame) - Legacy
Opus (libopus) - Best quality/bitrate
FLAC (flac) - Lossless

Notes

Use -c copy when possible for speed (no re-encoding)
Re-encoding is slower but allows codec/quality changes
CRF 18-23 is good quality range for H.264
Preset affects encoding speed vs file size tradeoff

Files

Just SKILL.md in tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion of benchflow-ai/skillsbench.

Open the folder on GitHubat commit 9a1f4dd

Compare with similar skills

Ffmpeg Format Conversion 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.

Ffmpeg Format Conversion compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Ffmpeg Format Conversion this skillbenchflow-ai/skillsbench	1.8k	—	~698	Automated safety check: Pass	Apache-2.0	2 mo ago
Video Understandcalesthio/OpenMontage	65k	—	~841	Automated safety check: Pass	AGPL-3.0	4 days ago
Video Shotseternityspring/reelbench-skills	868	2 repos	~1.8k	Automated safety check: Notes	Apache-2.0	17 days ago
HyperFrames Video Entry Pointheygen-com/hyperframes	59k	3 repos	~5.2k	Automated safety check: Pass	Apache-2.0	today
Mobile Demo Film Editorsuperset-sh/superset	15k	—	~1.8k	Automated safety check: Pass	Custom licence	today
Karaoke CaptionsAI-Builder-Club/skills	1.3k	1 repos	~850	Automated safety check: Pass	None	22 days ago

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Video Understand
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868 GitHub starsUsed in 2 repos~1.8k tokens
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HyperFrames Video Entry Point
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Media & CreativeAuto-check passed
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Karaoke Captions
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Questions about Ffmpeg Format Conversion

What does Ffmpeg Format Conversion do?

Convert media files between formats - video containers, audio formats, and codec transcoding. Ffmpeg Format Conversion is an agent skill from benchflow-ai/skillsbench.

When should I use Ffmpeg Format Conversion?

Ffmpeg Format Conversion fits situations like: tasks that involve Video production.

How do I install Ffmpeg Format Conversion in Claude Code?

Run `npx skills add benchflow-ai/skillsbench --skill ffmpeg-format-conversion -a claude-code`. Or copy the skill folder (tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion in benchflow-ai/skillsbench) into .claude/skills/ffmpeg-format-conversion in your project. Claude Code loads it when a task matches its description.

How do I install Ffmpeg Format Conversion in Codex?

Run `npx skills add benchflow-ai/skillsbench --skill ffmpeg-format-conversion -a codex`. Or copy the skill folder (tasks/multilingual-video-dubbing/environment/skills/ffmpeg-format-conversion in benchflow-ai/skillsbench) into .agents/skills/ffmpeg-format-conversion in your project. Codex loads it when a task matches its description.

Can I use Ffmpeg Format Conversion 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 benchflow-ai/skillsbench --skill ffmpeg-format-conversion -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-format-conversion, .gemini/skills/ffmpeg-format-conversion, .github/skills/ffmpeg-format-conversion and .opencode/skills/ffmpeg-format-conversion in your project.

What does Ffmpeg Format Conversion need to run?

Going by SKILL.md and its folder, Ffmpeg Format Conversion needs the command-line tools its instructions call (ffmpeg).

Does Ffmpeg Format Conversion 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 Format Conversion 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 Format Conversion use?

Ffmpeg Format Conversion is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ffmpeg Format Conversion use?

About 698 tokens (SKILL.md is roughly 2.8k 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 Format Conversion?

Skills that share tags, products or a category with Ffmpeg Format Conversion: Video Understand (calesthio/OpenMontage, 65k stars), Video Shots (eternityspring/reelbench-skills, 868 stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars) and Mobile Demo Film Editor (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ffmpeg Format Conversion?

benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.

Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Ffmpeg Format Conversion

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

FFmpeg Format Conversion Skill

When to Use

Basic Conversion

Video Codec Conversion

Audio Format Conversion

Quality Settings

Presets

Batch Conversion

Common Codecs

Video

Audio

Notes

Files

Compare with similar skills

Similar skills

More from benchflow-ai/skillsbench

Related

Questions about Ffmpeg Format Conversion