ElevenLabs Voiceover Generator
digitalsamba/claude-code-video-toolkit
Generates narration, sound effects and cloned voices through the ElevenLabs API, with model and setting choices tuned to the content's style.
Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe - one i2v clip per lyric beat) with NO separate voiceover…
Install Render Song Mv
$ npx skills add gooseworks-ai/goose-skills --skill render-song-mv -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-song-mv --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/capabilities/render-song-mv .claude/skills/render-song-mv && 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 "render-song-mv" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-song-mv into .claude/skills/render-song-mv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-song-mv", 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/capabilities/render-song-mvType 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 render-song-mv -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-song-mv --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/capabilities/render-song-mv .agents/skills/render-song-mv && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "render-song-mv" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-song-mv into .agents/skills/render-song-mv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-song-mv", 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 render-song-mv -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-song-mv --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/capabilities/render-song-mv .cursor/skills/render-song-mv && 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 "render-song-mv" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-song-mv into .cursor/skills/render-song-mv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-song-mv", 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/capabilities/render-song-mv--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 render-song-mv -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-song-mv --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/capabilities/render-song-mv .gemini/skills/render-song-mv && 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 "render-song-mv" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-song-mv into .gemini/skills/render-song-mv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-song-mv", 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 render-song-mvInstalls 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 render-song-mv -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/capabilities/render-song-mv .github/skills/render-song-mv && 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 "render-song-mv" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-song-mv into .github/skills/render-song-mv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-song-mv", 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 render-song-mv -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 render-song-mv --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/capabilities/render-song-mv .opencode/skills/render-song-mv && 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 "render-song-mv" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-song-mv into .opencode/skills/render-song-mv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-song-mv", 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
render-song-mv- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 592 words
- Files
- 6 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe - one i2v clip per lyric beat) with NO separate voiceover…
- The song-driven-music-video format
- SKILL.md covers Choices, Run and Contract (the free assembly)
- Tasks that involve Text to speech and voice
What it does
Render Song Mv is an agent skill from gooseworks-ai/goose-skills. Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe - one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and the hook word landing on the chorus drop, closed on a PIL brand end card. This is the FREE deterministic assembly stage (clip cut-to-timeline + captions + end card + FFmpeg composite); the song, keyframes, and clips come from…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/PIPELINE.md`, `scripts/README.md` and `scripts/config.example.json`).
It sits in Media & Creative, covering Text to speech and voice. It works with ElevenLabs and 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.
When your agent uses it
- The song-driven-music-video format
- Tasks that involve Text to speech and voice
Example prompts
- “/render-song-mv”
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. 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
Ships 3 files in scripts/, which the agent can run.
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
Render Song Mv loads about 1.2k tokens when it runs. Until then it costs about 157 tokens; SKILL.md has 592 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); the scripts in this folder are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 592 words, ~1,202 tokens.
Download SKILL.mdSave it as
.claude/skills/render-song-mv/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- render-song-mv
- description
- Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe -> one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and the hook word landing on the chorus drop, closed on a PIL brand end card. This is the FREE deterministic assembly stage (clip cut-to-timeline + captions + end card + FFmpeg composite); the song, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the song-driven-music-video format.
- status
- active
render-song-mv
Assemble a song-driven music-video ad from a config: a purpose-written, sung song is
the entire narration (no separate voiceover), and every visual beat is timed to the lyrics.
The delivered song sets the timeline; N tableaux (one keyframe → one image-to-video clip per
lyric beat, all in a single look pack) are cut to their lyric windows and hard-concatenated
on the beat, captions are built from the song's OWN word timings with the hook line landing
on the chorus drop, and the spot closes on a PIL brand end card. It reads like a tiny animated
music video, not a demo. scripts/config.example.json is one worked example (Loóna "Fall In
Love With Sleep Again", 28s paper-craft 9:16) — its style, song, vocalist, mood, protagonist and
setting are that demo's answers, not defaults; scripts/PIPELINE.md maps every config block
to its step and scripts/README.md documents the free assembly.
Choices
The creative calls are made upstream by the user (the recipe's choices) and arrive in the config;
this assembly never picks them.
- visual_style →
look_pack,clip_engine.motion_opener. The demo used a paper-craft diorama at night. - song_genre →
song.prompt/song.bpm. The demo used a dreamy synth lullaby at ~80 BPM. - vocalist →
song.prompt. The demo used a soft breathy female lead. - mood →
song.prompt, the lyrics,tableaux. The demo went calm/dreamy. - protagonist →
look_pack.style_opener. The demo used a young-woman paper-doll. - setting →
tableaux[].keyframe_prompt. The demo went bedroom at night → moonlit paper village.
Run
This is the FREE, deterministic assembly stage — it spends nothing. The three paid
inputs are separate capabilities: the sung song (create-music-elevenlabs, music_v1,
force_instrumental FALSE — the lyrics ARE the script, returns mp3 + words.json), one
keyframe per tableau (create-image-fal), and one Kling 3.0 i2v clip per tableau
(create-video-fal). Given the delivered song + words.json + one clip per beat,
render-song-mv cuts each clip to its lyric window, hard-concats on the beat, builds the
lyric-synced captions, composites the PIL end card, and muxes → the master. Re-cuts reuse
the existing song / keyframes / clips and cost $0.
Show full SKILL.md (272 more words)Show less
Contract (the free assembly)
- The sung song carries the narration — no separate VO. The generated ElevenLabs track
IS the bed and the script (
force_instrumentalfalse); do not add a spoken voiceover or a second music bed. - Plan the timeline AROUND the delivered song. The song is generated first and reshapes/
overshoots length; snap every tableau boundary to the lyric-phrase edges in the returned
word timings (
timeline.json) — never trim the song to a pre-planned grid. - Captions from the song's OWN word timings, not Whisper (script-window). Chunk
audio/words.json(~3 words at lyric boundaries); accent words getcaptions.accent_color. Whisper on sung audio returns "🎵 Music Playing 🎵", so it can't caption lyrics. - Land the hook on the chorus drop. Exactly ONE hero tableau (
is_hook) is timed so the payoff word (song.hook_word) sits on the chorus drop; accent that word in the captions. - One look pack for consistency. A single
style_opener+negative_tail+ palette drives every keyframe so N beats read as one film; no morph within a clip. - Hard cuts on the beat. Cut each clip to its lyric window and hard-concat — no dissolves (one optional match-cut into the hero reveal).
- PIL end card from the brand's real asset (e.g. the app icon) — never AI-render brand text. The lockup is composited deterministically (brand gradient + circular app icon + wordmark + tagline + CTA) from the brand's real asset; a diffusion model garbles a wordmark.
- FFmpeg composite, deterministic, FREE. Burn the caption ASS, overlay the end-card PNG on
the final window, mux the song, boost the climax beat (
audio_mix.climax_beat_id— set it to this run's hook tableau; the demo'sT08is example-only), loudnorm to −14 LUFS → 1080×1920 h264+aac. No paid calls, no keys.
© 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
Files
SKILL.md and 5 other files (scripts) in skills/ads/capabilities/render-song-mv of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/PIPELINE.md
- scripts/README.md
- scripts/config.example.json
- skill.meta.json
- tests/smoke-test.md
Open the folder on GitHubat commit c650c6d
Compare with similar skills
Render Song Mv 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 |
|---|---|---|---|---|---|---|
| Render Song Mv this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| ElevenLabs Voiceover Generatordigitalsamba/claude-code-video-toolkit | 2.2k | 1 repos | ~2.7k | Automated safety check: Notes | MIT | |
| Video Productionspeechlab0210/video-production-skill | 105 | — | ~4.1k | Automated safety check: Notes | MIT | |
| Super Video MakerBomx/super-video-maker-skill | 310 | — | ~11k | Automated safety check: Notes | None | |
| Hearyourvoicekillernay/HearYourVOICE | 140 | — | ~10k | Automated safety check: Notes | MIT | |
| Summarize Callreysu/ai-life-skills | 270 | — | ~3.8k | Automated safety check: Notes | MIT |
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Questions about Render Song Mv
What does Render Song Mv do?
Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe - one i2v clip per lyric beat) with NO separate voiceover…. Render Song Mv is an agent skill from gooseworks-ai/goose-skills. Assemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe - one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and the hook word landing on the chorus drop, closed on a PIL brand end card.
When should I use Render Song Mv?
Render Song Mv fits situations like: the song-driven-music-video format; tasks that involve Text to speech and voice.
How do I install Render Song Mv in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill render-song-mv -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-song-mv in gooseworks-ai/goose-skills) into .claude/skills/render-song-mv in your project. Claude Code loads it when a task matches its description.
How do I install Render Song Mv in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill render-song-mv -a codex`. Or copy the skill folder (skills/ads/capabilities/render-song-mv in gooseworks-ai/goose-skills) into .agents/skills/render-song-mv in your project. Codex loads it when a task matches its description.
Can I use Render Song Mv 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 gooseworks-ai/goose-skills --skill render-song-mv -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/render-song-mv, .gemini/skills/render-song-mv, .github/skills/render-song-mv and .opencode/skills/render-song-mv in your project.
What does Render Song Mv need to run?
SKILL.md names no scripts, command-line tools or credentials: Render Song Mv is instructions for the agent only.
Does Render Song Mv 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 Render Song Mv 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Render Song Mv use?
Render Song Mv 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 Render Song Mv use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Render Song Mv?
Skills that share tags, products or a category with Render Song Mv: ElevenLabs Voiceover Generator (digitalsamba/claude-code-video-toolkit, 2.2k stars), Video Production (speechlab0210/video-production-skill, 105 stars), Super Video Maker (Bomx/super-video-maker-skill, 310 stars) and Hearyourvoice (killernay/HearYourVOICE, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Render Song Mv?
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.