Mix Master logo

Mix Master

OrganizationPopular
gooseworks-ai
mix-master

Canonical short-form-ad audio mix in one FFmpeg pass. VO loudnorm + 3.0× per-clip + 2.0× mix, music 0.13 base + apad+afade, sidechain compress 20:1 @ 0.01, climax line +20%, optional video-to-music duration sync. Replaces the reactive multi-round tuning that cost v03 6+ passes.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namemix-master
Stars
1.2K
Forks
216
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Mix Master AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-master
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/packs/video-ad-formats/mix-master .claude/skills/mix-master
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mix Master in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mix Master on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mix Master is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Superseded: the video kit now does this with the audio-mix part, version 1.0.1 and the sound-layer part, version 1.0.4, in the parts folder of this repository. Its mix mode is the audio-mix step (voice, a ducked bed and timed effects) and its finish mode is the sound layer, which levels every video to -14 LUFS with the true peak at or below -1 dBTP. This atom stays, unchanged in behaviour, for skills outside the kit until they move; its scripts still run.

mix-master

Purpose

The v03 Ironman LEARNINGS describe 6+ tuning rounds because no default mix protocol existed: round 1 music too loud, round 2 VO too quiet, round 3 Whisper mis-transcribed, round 4 sidechain ratio finally right, round 5 music ended too early, round 6 climax sat at the same loudness as the rest.

This atom encodes the protocol that landed and ships it as the default. Operators tune by flag; they don't redesign the chain.

Inputs

  • --video <path> — video file with no audio (or whose audio gets dropped) (required)
  • --vo <path,path,...> — comma-separated list of per-scene VO mp3s in scene order (required)
  • --vo-starts <ms,ms,...> — start time in milliseconds for each VO clip on the timeline (required, same length as --vo)
  • --music <path> — music bed file (required)
  • --sfx <path,path,...> — optional comma-separated SFX list
  • --sfx-starts <ms,ms,...> — optional SFX start times
  • --output <path> — output mp4 (required)
  • --total-duration <s> — target total duration in seconds (required — video AND music are sync-fit to this)
  • --vo-boost-line <N> — 1-indexed VO clip that is the climax; gets +20% additional volume (default unset)
  • --vo-volume <float> — per-clip VO volume multiplier (default 3.0)
  • --vo-mix-volume <float> — extra mix-bus volume on VO (default 2.0)
  • --music-volume <float> — base music volume (default 0.13)
  • --music-swell-volume <float> — peak music volume during apad/swell (default 0.21)
  • --sidechain-ratio <float> — sidechain ratio, capped at 20 by FFmpeg (default 20)
  • --sidechain-threshold <float> — sidechain threshold (default 0.01)
  • --target-i <lufs> — VO loudnorm integrated target (default -16)
  • --target-tp <dbtp> — VO loudnorm true-peak (default -1.5)
  • --target-lra <lu> — VO loudnorm LRA (default 11)

Workflow

  1. Validate inputs — --vo and --vo-starts must be same length; --sfx and --sfx-starts must be same length; ffmpeg + ffprobe must be on PATH.
  2. Probe music duration (ffprobe). If music shorter than --total-duration, append apad=pad_dur=2.0 then trim back to target. If music longer, trim with afade=out over last 1.5s.
  3. Build a filter_complex_script file (long chains exceed shell arg limits):
    • Per-VO: [N:a]loudnorm=I=...:TP=...:LRA=...,adelay=<start>|<start>,volume=<vo_volume>[voN];
    • Climax VO (if --vo-boost-line N): volume becomes vo_volume * 1.2.
    • Mix all VO: amix=inputs=K:duration=longest,volume=<vo_mix_volume>[vo_pre];
    • Split VO for sidechain key: [vo_pre]asplit=2[vo_final][vo_sc];
    • Music base: apad=pad_dur=2.0,atrim=0:<TOTAL>,afade=t=out:st=<TOTAL-1.5>:d=1.5,volume=<music_volume>[music_base];
    • Sidechain: [music_base][vo_sc]sidechaincompress=threshold=<thresh>:ratio=<ratio>:attack=20:release=600[music_ducked];
    • SFX (optional): per-SFX adelay + volume then mix into [sfx_bus].
    • Final: amix=inputs=<2 or 3>:duration=longest[a_out].
  4. Run a single ffmpeg invocation that consumes video, all VO, music, all SFX, applies the filter chain, and outputs the mixed mp4 (video re-encoded only if duration trim needed; otherwise -c:v copy).
  5. Run a verification probe: ffprobe loudness summary on [a_out], write manifest.json and verification.md.

Output

  • <output> — mixed mp4 with VO + music + SFX.
  • manifest.json — chain parameters, vo timing, climax line, integrated LUFS after.
  • verification.md — pass/fail report (integrated LUFS within ±0.5 of expected target, no clipping).

Quality Checks

  • Output integrated LUFS within ±0.5 of <target-i> (post-protocol; should be approximately -14 social-ready after the boosts).
  • True-peak strictly below <target-tp> (no clipping).
  • Output duration equals <total-duration> ± 100ms.
  • Music tail has afade=out — last 100ms RMS < -30 dB.
  • If --vo-boost-line was set, the corresponding clip's volume= value is vo_volume * 1.2.

Failure Modes

  • Sidechain ratio > 20 — FFmpeg errors "Result too large." Cap at 20 (the protocol default).
  • VO and starts arrays mismatched — fail fast at validation.
  • Music too short and apad insufficient — emit a warning; video may end before music. Operator should re-source music or shorten --total-duration.
  • VO clip > 5KB but actually error JSON — out of scope here; create-clips Phase 4 catches it.
  • Re-encoding video unnecessarily — if total duration matches input video duration, use -c:v copy to preserve quality.

Example

bash
scripts/mix.sh \
  --video peloton/ads/video-04-new-job/edits/master-no-audio.mp4 \
  --vo "peloton/ads/video-04-new-job/audio/vo-scene-01.mp3,...,peloton/ads/video-04-new-job/audio/vo-scene-14.mp3" \
  --vo-starts "0,2000,3500,...,28000" \
  --music peloton/ads/video-04-new-job/audio/music-cue-01.wav \
  --output peloton/ads/video-04-new-job/edits/master-final.mp4 \
  --total-duration 30.0 \
  --vo-boost-line 14

Consumed by: video-orchestrator/edit-video Phase 3–5, auto-fix-from-review-notes dispatcher (when vo-intelligibility or music-vo-balance polish-notes items reference mix-master).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mix Master AI skill do?

Canonical short-form-ad audio mix in one FFmpeg pass. VO loudnorm + 3.0× per-clip + 2.0× mix, music 0.13 base + apad+afade, sidechain compress 20:1 @ 0.01, climax line +20%, optional video-to-music duration sync. Replaces the reactive multi-round tuning that cost v03 6+ passes.

Why use Mix Master on TypingMind?

Because you install it once and use it with any model. Mix Master is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mix Master in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-master. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mix Master?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mix Master?

As many as you like. As long as a model supports skills, you can use Mix Master with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mix Master AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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