Agent skill

Music Video Subtitle Generator

by vllm-project in vllm-project/vllm-omni

Plan, write, audit, or produce music videos with coordinated music, imagery, camera motion, optional performance, and lyric typography.

Apache-2.0Auto-check passedMedia & Creative

Install Music Video Subtitle Generator

skills CLI
$ npx skills add vllm-project/vllm-omni --skill music-video-subtitle-generator -a claude-code

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

GitHub CLI
$ gh skill install vllm-project/vllm-omni music-video-subtitle-generator --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/vllm-project/vllm-omni.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/music-video-subtitle-generator .claude/skills/music-video-subtitle-generator && 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/

Facts

Skill name
music-video-subtitle-generator
GitHub stars
7.1k
Token cost
~1.1k tokens
SKILL.md length
533 words
Files
3 (incl. references)
Skills in repo
20
Repo updated
First seen
Licence
Apache-2.0

At a glance

Plan, write, audit, or produce music videos with coordinated music, imagery, camera motion, optional performance, and lyric typography.

  • Beat-aware MVs and instrumental visual narratives
  • SKILL.md covers Lock the musical and visual…, Reference roles, Compose the timeline and H3… and Typography and finishing
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Not ordinary subtitle cleanup

What it does

Music Video Subtitle Generator is an agent skill from vllm-project/vllm-omni. Plan, write, audit, or produce music videos with coordinated music, imagery, camera motion, optional performance, and lyric typography. Use for beat-aware MVs and instrumental visual narratives, not ordinary subtitle cleanup or unrelated video edits.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/music-timeline.md`).

It sits in Media & Creative, covering Transcription and Typography. The repository describes itself as: A framework for efficient model inference with omni-modality models. The licence is Apache-2.0.

When your agent uses it

  • Beat-aware MVs and instrumental visual narratives
  • Not ordinary subtitle cleanup
  • Unrelated video edits

Example prompts

  • “/music-video-subtitle-generator”

What it can do on your machine

Read from SKILL.md and the folder at commit 096988d. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Music Video Subtitle Generator loads about 1.1k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 533 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

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 vllm-project/vllm-omni at commit 096988d, republished under its Apache-2.0 licence (© vllm-project). 533 words, ~1,087 tokens.

Download SKILL.mdSave it as .claude/skills/music-video-subtitle-generator/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
music-video-subtitle-generator
description
Plan, write, audit, or produce music videos with coordinated music, imagery, camera motion, optional performance, and lyric typography. Use for beat-aware MVs and instrumental visual narratives, not ordinary subtitle cleanup or unrelated video edits.
metadata.compatibility
File-based workflow with sibling h3-prompt-writing; audio analysis, generation, and final assembly use available tools and backends.

Music Video and Lyric Typography

Read the portable workflow and, when building a timeline, music timeline. Deliver the requested scope: audit, prompt, storyboard, or complete video.

Lock the musical and visual intent

Identify duration, ratio, output resolution, music source/excerpt, visual style, character/scene references, performance mode, and whether text is wanted. Treat a supplied song as the master track unless the user requests replacement. Preserve provided lyrics exactly; do not translate or rewrite them unasked. For instrumental work, do not invent singing, lyrics, a performer, or typography. Generate original lyrics only when requested or clearly within an authorized songwriting brief.

Measure supplied audio duration and inspect/listen for beat, phrase, breath, drop, and energy changes using available tools. Label estimated or planned timing when measurement is unavailable. If the requested excerpt exceeds the audio, resolve the discrepancy without silently stretching or looping it.

Reference roles

  • Character references control identity, silhouette, wardrobe, and presence.
  • Scene references control environment, time of day, spatial anchors, and lighting.
  • Typography references control letter treatment, layout, and motion, not people or scenery visible in those references.
  • Music references control the requested track or sound style; distinguish copying a supplied recording from generating similar instrumentation.

Do not apply a preset's grain, darkness, hard cuts, or constant close-ups to an incompatible brief. A bright nighttime scene remains night. A continuous flat vector morph keeps smooth color fields and uses elastic shape motion for accents. Use hard cuts, slow holds, or dissolves only when appropriate to the user's intent.

Compose the timeline and H3 prompts

Map visual actions, camera moves, scene changes, and optional text to the music's global time. Build a causal visual progression instead of defaulting to one person singing throughout. Allow room to read a shape, gesture, or lyric before changing it.

For longer work, choose a supported continuation or clip-assembly approach through the portable workflow. Keep visual shot boundaries distinct from generation windows. Local window prompts must account for overlap without replaying the full previous action. A new scene may require a new reference rather than inheritance of the old scene. Record entry/exit states for each planned segment.

Compile the timeline into H3's base or Ref2VA fields, preserving dialogue, lyrics, and visible text verbatim. Include concrete instrumentation and rhythmic accents, but treat requested BPM and beat alignment as targets until checked in the output.

Show full SKILL.md (146 more words)Show less

Typography and finishing

When requested, give each shot one main readable text event. Keep words away from eyes and critical lip motion. Match sung text to the active phrase, and distinguish spatial typography from subtitle bars. Reduce text complexity if the model cannot render it, or use a disclosed overlay consistent with the requested deliverable.

For supplied audio, assemble clips to one global master track, maintaining phrase and lip continuity; avoid cuts inside a vowel. For native audio, inspect actual continuity across generation windows. Preserve useful SFX and avoid layered duplicate music. Retiming, grain, grading, interpolation, and upscaling are deliberate editing choices, not automatic finishing requirements.

Verify transformation/story order, identities, scene changes, requested text, musical continuity, timing, and full media decode. Label raw and processed versions. Deliver the final file and current prompt/timeline files, with measured properties and remaining limitations rather than claims of perfect synchronization.

© vllm-project, Apache-2.0. 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 2 other files (references) in .agents/skills/music-video-subtitle-generator of vllm-project/vllm-omni.

  • SKILL.md
  • agents/openai.yaml
  • references/music-timeline.md

Open the folder on GitHubat commit 096988d

Compare with similar skills

Music Video Subtitle Generator 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.

Music Video Subtitle Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Music Video Subtitle Generator this skillvllm-project/vllm-omni7.1k—~1.1kAutomated safety check: PassApache-2.0
Music Video Subtitle Generatortl2012tl/comfyUI-llama-TE2414 repos~3.6kAutomated safety check: PassNone
Paper Collage Explainer Generatortl2012tl/comfyUI-llama-TE2414 repos~5.2kAutomated safety check: PassNone
Anthropic Brand Stylinganthropics/skills180k30 repos~559Automated safety check: PassApache-2.0
Video Understandcalesthio/OpenMontage66k—~841Automated safety check: PassAGPL-3.0
Minimal Zine Poster GeneratorLiamGvchi/gc-minimal-zine-poster7.3k—~2.9kAutomated safety check: PassMIT

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Questions about Music Video Subtitle Generator

What does Music Video Subtitle Generator do?

Plan, write, audit, or produce music videos with coordinated music, imagery, camera motion, optional performance, and lyric typography. Music Video Subtitle Generator is an agent skill from vllm-project/vllm-omni. Plan, write, audit, or produce music videos with coordinated music, imagery, camera motion, optional performance, and lyric typography.

When should I use Music Video Subtitle Generator?

Music Video Subtitle Generator fits situations like: beat-aware MVs and instrumental visual narratives; not ordinary subtitle cleanup; unrelated video edits.

How do I install Music Video Subtitle Generator in Claude Code?

Run `npx skills add vllm-project/vllm-omni --skill music-video-subtitle-generator -a claude-code`. Or copy the skill folder (.agents/skills/music-video-subtitle-generator in vllm-project/vllm-omni) into .claude/skills/music-video-subtitle-generator in your project. Claude Code loads it when a task matches its description.

How do I install Music Video Subtitle Generator in Codex?

Run `npx skills add vllm-project/vllm-omni --skill music-video-subtitle-generator -a codex`. Or copy the skill folder (.agents/skills/music-video-subtitle-generator in vllm-project/vllm-omni) into .agents/skills/music-video-subtitle-generator in your project. Codex loads it when a task matches its description.

Can I use Music Video Subtitle Generator 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 vllm-project/vllm-omni --skill music-video-subtitle-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/music-video-subtitle-generator, .gemini/skills/music-video-subtitle-generator, .github/skills/music-video-subtitle-generator and .opencode/skills/music-video-subtitle-generator in your project.

What does Music Video Subtitle Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Music Video Subtitle Generator is instructions for the agent only.

Does Music Video Subtitle Generator 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 Music Video Subtitle Generator 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 Music Video Subtitle Generator use?

Music Video Subtitle Generator 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 Music Video Subtitle Generator use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 513 tokens, read only when the agent opens those files.

What are the alternatives to Music Video Subtitle Generator?

Skills that share tags, products or a category with Music Video Subtitle Generator: Music Video Subtitle Generator (tl2012tl/comfyUI-llama-TE, 241 stars), Paper Collage Explainer Generator (tl2012tl/comfyUI-llama-TE, 241 stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and Video Understand (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Music Video Subtitle Generator?

vllm-project (a GitHub organization) maintains it in vllm-project/vllm-omni, which has 7,119 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 11, 2026.

Source: vllm-project/vllm-omni on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.