Super Video Maker
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
Mix, trim, and concatenate video clips with ffmpeg without audio/video desync.
$ npx skills add vargHQ/sdk --skill ffmpeg-mixing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vargHQ/sdk ffmpeg-mixing --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/vargHQ/sdk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ffmpeg-mixing .claude/skills/ffmpeg-mixing && 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-mixing" agent skill from https://github.com/vargHQ/sdk/tree/main/.claude/skills/ffmpeg-mixing into .claude/skills/ffmpeg-mixing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-mixing", 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/vargHQ/sdk/tree/main/.claude/skills/ffmpeg-mixingType 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 vargHQ/sdk --skill ffmpeg-mixing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vargHQ/sdk ffmpeg-mixing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vargHQ/sdk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/ffmpeg-mixing .agents/skills/ffmpeg-mixing && 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-mixing" agent skill from https://github.com/vargHQ/sdk/tree/main/.claude/skills/ffmpeg-mixing into .agents/skills/ffmpeg-mixing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-mixing", 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 vargHQ/sdk --skill ffmpeg-mixing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vargHQ/sdk ffmpeg-mixing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vargHQ/sdk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/ffmpeg-mixing .cursor/skills/ffmpeg-mixing && 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-mixing" agent skill from https://github.com/vargHQ/sdk/tree/main/.claude/skills/ffmpeg-mixing into .cursor/skills/ffmpeg-mixing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-mixing", 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/vargHQ/sdk.git --path .claude/skills/ffmpeg-mixing--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 vargHQ/sdk --skill ffmpeg-mixing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vargHQ/sdk ffmpeg-mixing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vargHQ/sdk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/ffmpeg-mixing .gemini/skills/ffmpeg-mixing && 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-mixing" agent skill from https://github.com/vargHQ/sdk/tree/main/.claude/skills/ffmpeg-mixing into .gemini/skills/ffmpeg-mixing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-mixing", 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 vargHQ/sdk ffmpeg-mixingInstalls 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 vargHQ/sdk --skill ffmpeg-mixing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vargHQ/sdk.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/ffmpeg-mixing .github/skills/ffmpeg-mixing && 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-mixing" agent skill from https://github.com/vargHQ/sdk/tree/main/.claude/skills/ffmpeg-mixing into .github/skills/ffmpeg-mixing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-mixing", 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 vargHQ/sdk --skill ffmpeg-mixing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vargHQ/sdk ffmpeg-mixing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vargHQ/sdk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/ffmpeg-mixing .opencode/skills/ffmpeg-mixing && 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-mixing" agent skill from https://github.com/vargHQ/sdk/tree/main/.claude/skills/ffmpeg-mixing into .opencode/skills/ffmpeg-mixing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg-mixing", 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.
ffmpeg-mixingMix, trim, and concatenate video clips with ffmpeg without audio/video desync.
Ffmpeg Mixing is an agent skill from vargHQ/sdk. Mix, trim, and concatenate video clips with ffmpeg without audio/video desync. Use when stitching generated clips into an original video, inserting scenes at timestamps, or any ffmpeg filtercomplex work involving trim/concat with a continuous audio track.
Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires ffmpeg installed locally.
It sits in Media & Creative, covering Video production and AI video generation. It works with FFmpeg, Vercel AI SDK, ElevenLabs and Seedance. The repository describes itself as: AI video generation SDK — JSX for videos. One API for Kling, Flux, ElevenLabs, Veed. Built on Vercel AI SDK. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit da4face. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
Bash(ffmpeg:*)Bash(ffprobe:*)ReadFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ffmpegFrom 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.
Requires ffmpeg installed locally.
From compatibility in the SKILL.md frontmatter.
Ffmpeg Mixing loads about 676 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 151 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); files beside SKILL.md are not scanned.
The full file from vargHQ/sdk at commit da4face, republished under its MIT licence (© vargHQ). 151 words, ~676 tokens.
.claude/skills/ffmpeg-mixing/SKILL.md (or your agent's skills folder).Lessons for mixing video clips with ffmpeg while keeping audio and video in sync.
using -ss X -t Y to pre-trim input, then applying relative trim filters caused timing drift:
# BAD: relative timestamps after pre-trim
ffmpeg -ss 64 -t 36 -i original.mp4 ...
-filter_complex "
[0:v]split=5[orig1][orig2]...;
[orig1]trim=0:4,setpts=PTS-STARTPTS[o1];
[orig2]trim=4:11,setpts=PTS-STARTPTS[o2];
..."this produced wrong duration (38s instead of 36s) with audio desync.
trim directly from full original using absolute timestamps:
# GOOD: absolute timestamps from full file
ffmpeg -i original.mp4 -i scene1.mp4 -i scene2.mp4 ...
-filter_complex "
[0:v]trim=64:68,setpts=PTS-STARTPTS[o1];
[1:v]scale=1280:720,trim=4:6,setpts=PTS-STARTPTS[s1];
[0:v]trim=70:75,setpts=PTS-STARTPTS[o2];
...
[o1][s1][o2]...concat=n=N:v=1:a=0[outv];
[0:a]atrim=64:100,asetpts=PTS-STARTPTS[outa]
"
-map "[outv]" -map "[outa]"atrim on audio stream independentlysetpts=PTS-STARTPTS after trim to reset timestampsto insert generated clips at specific timestamps while keeping continuous audio:
ffmpeg -y \
-i original.mp4 \
-i generated-scene.mp4 \
-filter_complex "
[0:v]trim=START1:END1,setpts=PTS-STARTPTS[o1];
[1:v]scale=1280:720,trim=0:DURATION,setpts=PTS-STARTPTS[s1];
[0:v]trim=START2:END2,setpts=PTS-STARTPTS[o2];
[o1][s1][o2]concat=n=3:v=1:a=0[outv];
[0:a]atrim=AUDIO_START:AUDIO_END,asetpts=PTS-STARTPTS[outa]
" \
-map "[outv]" -map "[outa]" \
-c:v libx264 -preset fast -crf 18 \
-c:a aac -b:a 192k \
output.mp4timestamps must add up: (END1-START1) + DURATION + (END2-START2) = AUDIO_END - AUDIO_START
© vargHQ, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/ffmpeg-mixing of vargHQ/sdk.
Open the folder on GitHubat commit da4face
Ffmpeg Mixing 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 Mixing this skillvargHQ/sdk | 341 | — | ~676 | Automated safety check: Pass | MIT | |
| Super Video MakerBomx/super-video-maker-skill | 309 | — | ~11k | Automated safety check: Notes | None | |
| Hearyourvoicekillernay/HearYourVOICE | 140 | — | ~10k | Automated safety check: Notes | MIT | |
| Editorial Collage MotionPluviobyte/rnskill | 1.6k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Scenario Seedance Music Videoscenario-labs/skills | 931 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Render Hypermotiongooseworks-ai/goose-skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT |
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
killernay/HearYourVOICE
The repeatable workflow for short Thai documentary/explainer videos — one topic in, one finished MP4 out.
Pluviobyte/rnskill
将参考图或简要描述解码为可编辑的半色调纸张拼贴规范,默认使用 Codex 内置 imagegen 生成品牌一致的静帧和透明图层,再用本地 FFmpeg 或 HyperFrames 制作“从空背景逐件组装”的确定性动态视频。用户提到半色调拼贴、纸张拼贴、剪纸拼贴、编辑式拼贴、杂志拼贴、复古印刷拼贴、拼贴动效、拼贴动画、剪纸动画、纸片组装、逐层组装、从无到有、元素飞入拼装、定格拼贴、定格动画、Arc…
scenario-labs/skills
A skill your agent uses when turning a song, track, or audio master into a finished music video with Scenario and Seedance: planning shots against beats and sections, transcribing lyrics, generating…
gooseworks-ai/goose-skills
Assemble the FREE steps of the product-hypermotion + kinetic-typography video format — dice ONE Seedance 2.0 hypermotion clip into 5-6 segments and intercut them with PIL kinetic-typography spec/CTA…
gooseworks-ai/goose-skills
the UGC fix-loop toolkit — surgically re-render a bad window/beat of a single-take UGC master (stitchreplacement.py, pure FFmpeg) and GPT cross-model review a Seedance prompt before render…
vargHQ/sdk
Generate AI videos using varg SDK React engine. An agent skill from vargHQ/sdk.
Categories
Mix, trim, and concatenate video clips with ffmpeg without audio/video desync. Ffmpeg Mixing is an agent skill from vargHQ/sdk. Mix, trim, and concatenate video clips with ffmpeg without audio/video desync.
Ffmpeg Mixing fits situations like: stitching generated clips into an original video; inserting scenes at timestamps; any ffmpeg filtercomplex work involving trim/concat with a continuous audio track.
Run `npx skills add vargHQ/sdk --skill ffmpeg-mixing -a claude-code`. Or copy the skill folder (.claude/skills/ffmpeg-mixing in vargHQ/sdk) into .claude/skills/ffmpeg-mixing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vargHQ/sdk --skill ffmpeg-mixing -a codex`. Or copy the skill folder (.claude/skills/ffmpeg-mixing in vargHQ/sdk) into .agents/skills/ffmpeg-mixing 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 vargHQ/sdk --skill ffmpeg-mixing -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-mixing, .gemini/skills/ffmpeg-mixing, .github/skills/ffmpeg-mixing and .opencode/skills/ffmpeg-mixing in your project.
Going by SKILL.md and its folder, Ffmpeg Mixing needs the command-line tools its instructions call (ffmpeg). Its frontmatter pre-approves these tools: Bash(ffmpeg:*), Bash(ffprobe:*), Read. Compatibility (from SKILL.md): Requires ffmpeg installed locally..
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. Review the folder before installing.
Ffmpeg Mixing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 676 tokens (SKILL.md is roughly 2.7k 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 Ffmpeg Mixing: Super Video Maker (Bomx/super-video-maker-skill, 309 stars), Hearyourvoice (killernay/HearYourVOICE, 140 stars), Editorial Collage Motion (Pluviobyte/rnskill, 1.6k stars) and Scenario Seedance Music Video (scenario-labs/skills, 931 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vargHQ (a GitHub organization) maintains it in vargHQ/sdk, which has 341 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 1, 2026.
Source: vargHQ/sdk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.