Video Understand
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
Canonical short-form-ad audio mix in one FFmpeg pass. An agent skill from gooseworks-ai/goose-skills.
$ npx skills add gooseworks-ai/goose-skills --skill mix-master -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills mix-master --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/packs/video-ad-formats/mix-master .claude/skills/mix-master && 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 "mix-master" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-master into .claude/skills/mix-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-master", 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/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-masterType 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 gooseworks-ai/goose-skills --skill mix-master -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills mix-master --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/packs/video-ad-formats/mix-master .agents/skills/mix-master && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mix-master" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-master into .agents/skills/mix-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-master", 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 gooseworks-ai/goose-skills --skill mix-master -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills mix-master --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/packs/video-ad-formats/mix-master .cursor/skills/mix-master && 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 "mix-master" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-master into .cursor/skills/mix-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-master", 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/gooseworks-ai/goose-skills.git --path skills/ads/packs/video-ad-formats/mix-master--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 gooseworks-ai/goose-skills --skill mix-master -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills mix-master --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/packs/video-ad-formats/mix-master .gemini/skills/mix-master && 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 "mix-master" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-master into .gemini/skills/mix-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-master", 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 gooseworks-ai/goose-skills mix-masterInstalls 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 gooseworks-ai/goose-skills --skill mix-master -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/packs/video-ad-formats/mix-master .github/skills/mix-master && 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 "mix-master" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-master into .github/skills/mix-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-master", 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 gooseworks-ai/goose-skills --skill mix-master -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills mix-master --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/packs/video-ad-formats/mix-master .opencode/skills/mix-master && 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 "mix-master" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/packs/video-ad-formats/mix-master into .opencode/skills/mix-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-master", 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.
mix-masterCanonical short-form-ad audio mix in one FFmpeg pass. An agent skill from gooseworks-ai/goose-skills.
Mix Master is an agent skill from gooseworks-ai/goose-skills. 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.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/mix.sh` and `skill.meta.json`).
It sits in Media & Creative, covering Video production. It works with FFmpeg. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mix Master loads about 1.5k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 647 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.
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); the scripts in this folder are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 647 words, ~1,499 tokens.
.claude/skills/mix-master/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Superseded: the video kit now does this with the audio-mix part, version 1.0.1 and the sound-layer part, version 1.0.1, 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.
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.
--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)--vo and --vo-starts must be same length; --sfx and --sfx-starts must be same length; ffmpeg + ffprobe must be on PATH.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.filter_complex_script file (long chains exceed shell arg limits):[N:a]loudnorm=I=...:TP=...:LRA=...,adelay=<start>|<start>,volume=<vo_volume>[voN];--vo-boost-line N): volume becomes vo_volume * 1.2.amix=inputs=K:duration=longest,volume=<vo_mix_volume>[vo_pre];[vo_pre]asplit=2[vo_final][vo_sc];apad=pad_dur=2.0,atrim=0:<TOTAL>,afade=t=out:st=<TOTAL-1.5>:d=1.5,volume=<music_volume>[music_base];[music_base][vo_sc]sidechaincompress=threshold=<thresh>:ratio=<ratio>:attack=20:release=600[music_ducked];adelay + volume then mix into [sfx_bus].amix=inputs=<2 or 3>:duration=longest[a_out].-c:v copy).[a_out], write manifest.json and verification.md.<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).<target-i> (post-protocol; should be approximately -14 social-ready after the boosts).<target-tp> (no clipping).<total-duration> ± 100ms.afade=out — last 100ms RMS < -30 dB.--vo-boost-line was set, the corresponding clip's volume= value is vo_volume * 1.2.apad insufficient — emit a warning; video may end before music. Operator should re-source music or shorten --total-duration.create-clips Phase 4 catches it.-c:v copy to preserve quality.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 14Consumed 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).
© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in skills/ads/packs/video-ad-formats/mix-master of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
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 gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.
Mix Master 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 |
|---|---|---|---|---|---|---|
| Mix Master this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Video Understandcalesthio/OpenMontage | 66k | — | ~841 | Automated safety check: Pass | AGPL-3.0 | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Video Shotseternityspring/reelbench-skills | 878 | 1 repos | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Mobile Demo Film Editorsuperset-sh/superset | 15k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Video Editcalesthio/OpenMontage | 66k | — | ~855 | Automated safety check: Notes | AGPL-3.0 |
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
eternityspring/reelbench-skills
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.
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.
calesthio/OpenMontage
Edit videos locally using ffmpeg. An agent skill from calesthio/OpenMontage.
lemomo-ai/lemo-opuscar
Directs a short film made entirely in code in one of the Lemo-Opuscar library's named visual styles, from fetching the library through production and delivery.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Works with
Categories
Canonical short-form-ad audio mix in one FFmpeg pass. An agent skill from gooseworks-ai/goose-skills. Mix Master is an agent skill from gooseworks-ai/goose-skills. Canonical short-form-ad audio mix in one FFmpeg pass.
Mix Master fits situations like: tasks that involve Video production.
Run `npx skills add gooseworks-ai/goose-skills --skill mix-master -a claude-code`. Or copy the skill folder (skills/ads/packs/video-ad-formats/mix-master in gooseworks-ai/goose-skills) into .claude/skills/mix-master in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill mix-master -a codex`. Or copy the skill folder (skills/ads/packs/video-ad-formats/mix-master in gooseworks-ai/goose-skills) into .agents/skills/mix-master in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill mix-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mix-master, .gemini/skills/mix-master, .github/skills/mix-master and .opencode/skills/mix-master in your project.
Going by SKILL.md and its folder, Mix Master needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
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.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Mix Master is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Mix Master: Video Understand (calesthio/OpenMontage, 66k stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Video Shots (eternityspring/reelbench-skills, 878 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.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.