Vox Director
Alisa0808/vox-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all…
Normalizes a single video clip to unified 3840×2160 60FPS H.265 Main10 40Mbps + AAC 320kbps BT.709 SDR MP4 4K master (FFmpeg re-encode, HDR tone-mapped).
Install Video 4k Normalization
$ npx skills add godot-fun/gai --skill video-4k-normalization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install godot-fun/gai video-4k-normalization --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/godot-fun/gai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/video-4k-normalization .claude/skills/video-4k-normalization && 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 "video-4k-normalization" agent skill from https://github.com/godot-fun/gai/tree/main/.agents/skills/video-4k-normalization into .claude/skills/video-4k-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-4k-normalization", 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/godot-fun/gai/tree/main/.agents/skills/video-4k-normalizationType 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 godot-fun/gai --skill video-4k-normalization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install godot-fun/gai video-4k-normalization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/godot-fun/gai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/video-4k-normalization .agents/skills/video-4k-normalization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-4k-normalization" agent skill from https://github.com/godot-fun/gai/tree/main/.agents/skills/video-4k-normalization into .agents/skills/video-4k-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-4k-normalization", 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 godot-fun/gai --skill video-4k-normalization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install godot-fun/gai video-4k-normalization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/godot-fun/gai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/video-4k-normalization .cursor/skills/video-4k-normalization && 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 "video-4k-normalization" agent skill from https://github.com/godot-fun/gai/tree/main/.agents/skills/video-4k-normalization into .cursor/skills/video-4k-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-4k-normalization", 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/godot-fun/gai.git --path .agents/skills/video-4k-normalization--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 godot-fun/gai --skill video-4k-normalization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install godot-fun/gai video-4k-normalization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/godot-fun/gai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/video-4k-normalization .gemini/skills/video-4k-normalization && 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 "video-4k-normalization" agent skill from https://github.com/godot-fun/gai/tree/main/.agents/skills/video-4k-normalization into .gemini/skills/video-4k-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-4k-normalization", 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 godot-fun/gai video-4k-normalizationInstalls 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 godot-fun/gai --skill video-4k-normalization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/godot-fun/gai.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/video-4k-normalization .github/skills/video-4k-normalization && 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 "video-4k-normalization" agent skill from https://github.com/godot-fun/gai/tree/main/.agents/skills/video-4k-normalization into .github/skills/video-4k-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-4k-normalization", 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 godot-fun/gai --skill video-4k-normalization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install godot-fun/gai video-4k-normalization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/godot-fun/gai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/video-4k-normalization .opencode/skills/video-4k-normalization && 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 "video-4k-normalization" agent skill from https://github.com/godot-fun/gai/tree/main/.agents/skills/video-4k-normalization into .opencode/skills/video-4k-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-4k-normalization", 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
video-4k-normalization- GitHub stars
- 182
- Token cost
- ~940 tokens
- SKILL.md length
- 306 words
- Files
- 2
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
Normalizes a single video clip to unified 3840×2160 60FPS H.265 Main10 40Mbps + AAC 320kbps BT.709 SDR MP4 4K master (FFmpeg re-encode, HDR tone-mapped).
- Works in 5 steps: Use the bundled script only. → Missing Python / FFmpeg → populate… → Tell the user video-4k-normalization/… → …
- Tasks that involve Database schema design
- SKILL.md covers Why, Rules, Quick Start and Defaults, plus 3 more sections
- Calls python
What it does
Video 4k Normalization is an agent skill from godot-fun/gai. Normalizes a single video clip to unified 3840×2160 60FPS H.265 Main10 40Mbps + AAC 320kbps BT.709 SDR MP4 4K master (FFmpeg re-encode, HDR tone-mapped). Use before hard-cut merge when 4K (or near-4K) clips differ in color space, HDR/SDR, fps, or size. Triggers: video-4k-normalization, 4K normalization, video normalization, media conform, unify encode, color conform, tone map HDR, prepare for video-merge, mixed HDR/SDR.
Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `reference.md`).
It sits in Media & Creative, covering Database schema design and Video production. It works with FFmpeg and Python. The repository describes itself as: A lightweight AI agent and skill workflow framework built with Godot. The licence is MIT.
When your agent uses it
- Tasks that involve Database schema design
- Tasks that involve Video production
Example prompts
- “Use the video-4k-normalization skill to normaliz a single video clip to unified 3840×2160 60FPS H.265 Main10 40Mbps + AAC 320kbps BT.709 SDR MP4 4K…”
- “/video-4k-normalization”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Use the bundled script only.
- Missing Python / FFmpeg → populate .dependency/, set populated: true, retry.
- Tell the user video-4k-normalization/ paths; they run video-merge on that folder when stitching.
- For low-res quality upscale → video-to-4k, then optionally re-normalize if color still mixed.
- Pipeline / filter details: reference.md
What it can do on your machine
Read from SKILL.md and the folder at commit aa1ac71. 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:
python
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
Video 4k Normalization loads about 940 tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 306 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.
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 godot-fun/gai at commit aa1ac71, republished under its MIT licence (© godot-fun). 306 words, ~940 tokens.
Download SKILL.mdSave it as
.claude/skills/video-4k-normalization/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- video-4k-normalization
- description
- Normalizes a single video clip to unified 3840×2160 60FPS H.265 Main10 40Mbps + AAC 320kbps BT.709 SDR MP4 4K master (FFmpeg re-encode, HDR tone-mapped). Use before hard-cut merge when 4K (or near-4K) clips differ in color space, HDR/SDR, fps, or size. Triggers: video-4k-normalization, 4K normalization, video normalization, media conform, unify encode, color conform, tone map HDR, prepare for video-merge, mixed HDR/SDR.
- disable-model-invocation
- true
Video 4K Normalization
Re-encode a clip to one merge-safe 4K master (same delivery specs as
video-to-4k, plus unified BT.709 SDR color):
| Spec | Value |
|---|---|
| Resolution | 3840×2160 |
| Frame rate | 60 FPS |
| Video | H.265 Main10 (libx265, yuv420p10le) |
| Video bitrate | 40 Mbps |
| Audio | AAC 320 kbps |
| Color | BT.709 / bt709 / tv (HDR → tone-mapped SDR) |
| Container | MP4 (.mp4, hvc1 tag) |
Not AI upscaling — use video-to-4k first when
SD/HD needs Real-ESRGAN quality. This skill uses FFmpeg scale + encode only.
Why
Hard-cut video-merge is stream-copy. Mixed
HDR (BT.2020 + PQ) and SDR (BT.709) clips look fine alone, but after
concat the player often applies the first clip's HDR tags to later SDR →
oversaturated cuts. Normalization unifies pixels and color tags first.
Rules
When this skill applies, read and follow skill-dependency-manager — run scripts as documented, install missing tools into .dependency/.
- Run
normalize.pythrough.dependency/python/python. Never use hostpython/ffmpeg. - Never overwrite sources. Outputs go under
video-4k-normalization/. - Use the bundled script — do not hand-write equivalent FFmpeg commands.
- One file per run — pass
--videowith a single file; repeat for each clip in a batch.
Quick Start
.dependency/python/python .ai/video-4k-normalization/normalize.py --video path/to/clip.mp4Example:
assets/shots/01.mp4 (HDR)
→ assets/shots/video-4k-normalization/01.mp4
assets/shots/10.mp4 (SDR)
→ assets/shots/video-4k-normalization/10.mp4Then hard-cut merge the video-4k-normalization/ folder:
.dependency/python/python .ai/video-merge/merge.py --folder path/to/clips/video-4k-normalizationDefaults
| Setting | Default | Notes |
|---|---|---|
| Target color | BT.709 SDR limited (tv) | HDR (PQ/HLG/BT.2020) → hable tone map |
| Scale | FFmpeg lanczos to 3840×2160 | No Video2X |
| FPS | Forced 60 | Frame dup/drop, not RIFE |
Common Flags
--video · -o / --output
.dependency/python/python .ai/video-4k-normalization/normalize.py --video clip.mp4
.dependency/python/python .ai/video-4k-normalization/normalize.py --video clip.mp4 -o out/masters/clip.mp4Never overwrite source files. Input must be a single video file (--video), not a directory. Supported inputs: .mp4, .mkv, .mov, .avi, .webm, .wmv, .flv, .m4v, .mpeg, .mpg, .ts, .mts, .m2ts, .3gp, .ogv.
Agent Notes
- Use the bundled script only.
- Missing Python / FFmpeg → populate
.dependency/, setpopulated: true, retry. - Tell the user
video-4k-normalization/paths; they runvideo-mergeon that folder when stitching. - For low-res quality upscale →
video-to-4k, then optionally re-normalize if color still mixed. - Pipeline / filter details: reference.md
Tests
From repo root:
.dependency/python/python .ai/video-4k-normalization/test_normalize.pyManual CLI examples: cli/video-4k-normalization.md
© godot-fun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in .agents/skills/video-4k-normalization of godot-fun/gai.
- SKILL.md
- reference.md
Open the folder on GitHubat commit aa1ac71
Compare with similar skills
Video 4k Normalization 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 |
|---|---|---|---|---|---|---|
| Video 4k Normalization this skillgodot-fun/gai | 182 | — | ~940 | Automated safety check: Pass | MIT | |
| Vox DirectorAlisa0808/vox-director | 2.2k | — | ~5.6k | Automated safety check: Pass | MIT | |
| Ffmpeg Skillkajisho5/ffmpeg-skill | 1.9k | — | ~7.4k | Automated safety check: Pass | MIT | |
| OpenStoryline Install HelperFireRedTeam/FireRed-OpenStoryline | 3.5k | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | |
| Cassette Video EditCassette-Editor/oh-my-cassette | 158 | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Whiteboard Videognipbao/codex-whiteboard-video-skill | 326 | — | ~7.2k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Video 4k Normalization
What does Video 4k Normalization do?
Normalizes a single video clip to unified 3840×2160 60FPS H.265 Main10 40Mbps + AAC 320kbps BT.709 SDR MP4 4K master (FFmpeg re-encode, HDR tone-mapped). Video 4k Normalization is an agent skill from godot-fun/gai.709 SDR MP4 4K master (FFmpeg re-encode, HDR tone-mapped).
When should I use Video 4k Normalization?
Video 4k Normalization fits situations like: tasks that involve Database schema design; tasks that involve Video production.
How do I install Video 4k Normalization in Claude Code?
Run `npx skills add godot-fun/gai --skill video-4k-normalization -a claude-code`. Or copy the skill folder (.agents/skills/video-4k-normalization in godot-fun/gai) into .claude/skills/video-4k-normalization in your project. Claude Code loads it when a task matches its description.
How do I install Video 4k Normalization in Codex?
Run `npx skills add godot-fun/gai --skill video-4k-normalization -a codex`. Or copy the skill folder (.agents/skills/video-4k-normalization in godot-fun/gai) into .agents/skills/video-4k-normalization in your project. Codex loads it when a task matches its description.
Can I use Video 4k Normalization 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 godot-fun/gai --skill video-4k-normalization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-4k-normalization, .gemini/skills/video-4k-normalization, .github/skills/video-4k-normalization and .opencode/skills/video-4k-normalization in your project.
What does Video 4k Normalization need to run?
Going by SKILL.md and its folder, Video 4k Normalization needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Video 4k Normalization 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 Video 4k Normalization 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 Video 4k Normalization use?
Video 4k Normalization is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Video 4k Normalization use?
About 940 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 Video 4k Normalization?
Skills that share tags, products or a category with Video 4k Normalization: Vox Director (Alisa0808/vox-director, 2.2k stars), Ffmpeg Skill (kajisho5/ffmpeg-skill, 1.9k stars), OpenStoryline Install Helper (FireRedTeam/FireRed-OpenStoryline, 3.5k stars) and Cassette Video Edit (Cassette-Editor/oh-my-cassette, 158 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video 4k Normalization?
godot-fun (a GitHub organization) maintains it in godot-fun/gai, which has 182 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 9, 2026.
Source: godot-fun/gai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.