Agent skill

Ffmpeg Audio Processing

by benchflow-ai in benchflow-ai/skillsbench

Extract, normalize, mix, and process audio tracks - audio manipulation and analysis

Apache-2.0Auto-check passedMedia & Creative

Install Ffmpeg Audio Processing

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill ffmpeg-audio-processing -a claude-code

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

GitHub CLI

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

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-audio-processing -a codex

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

GitHub CLI

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

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

GitHub CLI

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

--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-audio-processing -a gemini-cli

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

GitHub CLI

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

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-audio-processing -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-audio-processing .github/skills/ffmpeg-audio-processing && 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-audio-processing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-audio-processing into .github/skills/ffmpeg-audio-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-audio-processing", 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-audio-processing -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-audio-processing --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-audio-processing .opencode/skills/ffmpeg-audio-processing && 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-audio-processing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/multilingual-video-dubbing/environment/skills/ffmpeg-audio-processing into .opencode/skills/ffmpeg-audio-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-audio-processing", 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-audio-processing
GitHub stars: 1.8k
Token cost: ~959 tokens
SKILL.md length: 95 words
Files: 1
Skills in repo: 180
Repo updated: Jul 23, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Extract, normalize, mix, and process audio tracks - audio manipulation and analysis

Tasks that involve Video production
SKILL.md covers When to Use, Extract Audio, Normalize Audio and Volume Adjustment, plus 8 more sections
Calls ffmpeg and ffprobe

What it does

Ffmpeg Audio Processing is an agent skill from benchflow-ai/skillsbench. Extract, normalize, mix, and process audio tracks - audio manipulation and analysis

Its SKILL.md is about 960 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-audio-processing”

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
- ffprobe
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 Audio Processing loads about 959 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 95 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~27
When it runs · the whole SKILL.md, loaded when a task matches: ~959

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). 95 words, ~959 tokens.

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

name: ffmpeg-audio-processing
description: Extract, normalize, mix, and process audio tracks - audio manipulation and analysis

FFmpeg Audio Processing Skill

Extract, normalize, mix, and process audio tracks from video files.

When to Use

Extract audio from video
Normalize audio levels
Mix multiple audio tracks
Convert audio formats
Extract specific channels
Adjust audio volume

Extract Audio

bash

# Extract as MP3
ffmpeg -i video.mp4 -vn -acodec libmp3lame -q:a 2 audio.mp3

# Extract as AAC (copy, no re-encode)
ffmpeg -i video.mp4 -vn -c:a copy audio.aac

# Extract as WAV (uncompressed)
ffmpeg -i video.mp4 -vn -acodec pcm_s16le audio.wav

# Extract specific audio stream
ffmpeg -i video.mp4 -map 0:a:1 -c:a copy audio2.aac

Normalize Audio

bash

# Normalize loudness (ITU-R BS.1770-4)
ffmpeg -i input.mp4 -af "loudnorm=I=-23:TP=-1.5:LRA=11" output.mp4

# Simple normalization
ffmpeg -i input.mp4 -af "volume=2.0" output.mp4

# Peak normalization
ffmpeg -i input.mp4 -af "volumedetect" -f null -
# Then use the detected peak to normalize
ffmpeg -i input.mp4 -af "volume=0.5" output.mp4

Volume Adjustment

bash

# Increase volume by 6dB
ffmpeg -i input.mp4 -af "volume=6dB" output.mp4

# Decrease volume by 3dB
ffmpeg -i input.mp4 -af "volume=-3dB" output.mp4

# Set absolute volume
ffmpeg -i input.mp4 -af "volume=0.5" output.mp4

Channel Operations

bash

# Extract left channel
ffmpeg -i stereo.mp3 -map_channel 0.0.0 left.mp3

# Extract right channel
ffmpeg -i stereo.mp3 -map_channel 0.0.1 right.mp3

# Convert stereo to mono
ffmpeg -i stereo.mp3 -ac 1 mono.mp3

# Convert mono to stereo
ffmpeg -i mono.mp3 -ac 2 stereo.mp3

Mix Audio Tracks

bash

# Replace audio track
ffmpeg -i video.mp4 -i audio.mp3 -c:v copy -map 0:v:0 -map 1:a:0 output.mp4

# Mix two audio tracks
ffmpeg -i video.mp4 -i audio2.mp3 \
  -filter_complex "[0:a][1:a]amix=inputs=2:duration=first" \
  -c:v copy output.mp4

# Mix with volume control
ffmpeg -i video.mp4 -i bgm.mp3 \
  -filter_complex "[0:a]volume=1.0[voice];[1:a]volume=0.3[music];[voice][music]amix=inputs=2:duration=first" \
  -c:v copy output.mp4

Audio Delay

bash

# Delay audio by 0.5 seconds
ffmpeg -i video.mp4 -itsoffset 0.5 -i video.mp4 \
  -map 0:v -map 1:a -c copy output.mp4

# Using adelay filter (milliseconds)
ffmpeg -i input.mp4 -af "adelay=500|500" output.mp4

Sample Rate Conversion

bash

# Resample to 48kHz
ffmpeg -i input.mp4 -af "aresample=48000" output.mp4

# Resample audio only
ffmpeg -i input.mp4 -vn -af "aresample=48000" -ar 48000 audio.wav

Audio Filters

bash

# High-pass filter (remove low frequencies)
ffmpeg -i input.mp4 -af "highpass=f=200" output.mp4

# Low-pass filter (remove high frequencies)
ffmpeg -i input.mp4 -af "lowpass=f=3000" output.mp4

# Band-pass filter
ffmpeg -i input.mp4 -af "bandpass=f=1000:width_type=h:w=500" output.mp4

# Fade in/out
ffmpeg -i input.mp4 -af "afade=t=in:st=0:d=2,afade=t=out:st=8:d=2" output.mp4

Audio Analysis

bash

# Detect volume levels
ffmpeg -i input.mp4 -af "volumedetect" -f null -

# Measure loudness (LUFS)
ffmpeg -i input.mp4 -af "ebur128=peak=true" -f null -

# Get audio statistics
ffprobe -v error -select_streams a:0 \
  -show_entries stream=sample_rate,channels,bit_rate \
  -of json input.mp4

Combine Multiple Audio Files

bash

# Concatenate audio files
ffmpeg -i "concat:audio1.mp3|audio2.mp3|audio3.mp3" -c copy output.mp3

# Using file list
# file 'audio1.mp3'
# file 'audio2.mp3'
ffmpeg -f concat -safe 0 -i list.txt -c copy output.mp3

Notes

Use -vn to disable video when extracting audio
-map to select specific streams
-af for audio filters
-ac for channel count
-ar for sample rate
Normalization may require two passes for accurate results

Files

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

Open the folder on GitHubat commit 9a1f4dd

Compare with similar skills

Ffmpeg Audio Processing 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 Audio Processing compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Ffmpeg Audio Processing this skillbenchflow-ai/skillsbench	1.8k	—	~959	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
HyperFrames Video Entry Pointheygen-com/hyperframes	58k	3 repos	~5.2k	Automated safety check: Pass	Apache-2.0	today
Video Shotseternityspring/reelbench-skills	867	1 repos	~1.8k	Automated safety check: Notes	Apache-2.0	16 days ago
Mobile Demo Film Editorsuperset-sh/superset	15k	—	~1.8k	Automated safety check: Pass	Custom licence	today
Video Editcalesthio/OpenMontage	65k	—	~855	Automated safety check: Notes	AGPL-3.0	4 days ago

Similar skills

Video Understand
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
65k GitHub stars~841 tokensUpdated 4 days ago
Media & CreativeAuto-check passed
HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
58k GitHub starsUsed in 3 repos~5.2k tokens
Media & CreativeAuto-check passed
Video Shots
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拉片：把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面. An agent skill from eternityspring/reelbench-skills.
867 GitHub starsUsed in 1 repo~1.8k tokens
Media & CreativeAuto-check: notes
Mobile Demo Film Editor
superset-sh/superset
Edits real mobile screen recordings into a configurable demo video with phone framing, title cards, cutaways and an end card, using a bundled renderer.
15k GitHub stars~1.8k tokensUpdated today
Media & CreativeAuto-check passed
Video Edit
calesthio/OpenMontage
Edit videos locally using ffmpeg. An agent skill from calesthio/OpenMontage.
65k GitHub stars~855 tokensUpdated 4 days ago
Media & CreativeAuto-check: notes
Lemo-Opuscar Short Film Director
lemomo-ai/lemo-opuscar
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Questions about Ffmpeg Audio Processing

What does Ffmpeg Audio Processing do?

Extract, normalize, mix, and process audio tracks - audio manipulation and analysis. Ffmpeg Audio Processing is an agent skill from benchflow-ai/skillsbench.

When should I use Ffmpeg Audio Processing?

Ffmpeg Audio Processing fits situations like: tasks that involve Video production.

How do I install Ffmpeg Audio Processing in Claude Code?

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

How do I install Ffmpeg Audio Processing in Codex?

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

Can I use Ffmpeg Audio Processing 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-audio-processing -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-audio-processing, .gemini/skills/ffmpeg-audio-processing, .github/skills/ffmpeg-audio-processing and .opencode/skills/ffmpeg-audio-processing in your project.

What does Ffmpeg Audio Processing need to run?

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

Does Ffmpeg Audio Processing 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 Audio Processing 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 Audio Processing use?

Ffmpeg Audio Processing 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 Audio Processing use?

About 959 tokens (SKILL.md is roughly 3.8k 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 Audio Processing?

Skills that share tags, products or a category with Ffmpeg Audio Processing: Video Understand (calesthio/OpenMontage, 65k stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 58k stars), Video Shots (eternityspring/reelbench-skills, 867 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 Audio Processing?

benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 180 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 Audio Processing

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 Audio Processing Skill

When to Use

Extract Audio

Normalize Audio

Volume Adjustment

Channel Operations

Mix Audio Tracks

Audio Delay

Sample Rate Conversion

Audio Filters

Audio Analysis

Combine Multiple Audio Files

Notes

Files

Compare with similar skills

Similar skills

More from benchflow-ai/skillsbench

Related

Questions about Ffmpeg Audio Processing