Remotion Production
DojoCodingLabs/remotion-superpowers
Full video production workflow for Remotion projects. An agent skill from DojoCodingLabs/remotion-superpowers.
A skill your agent uses when generating or transforming audio with ElevenLabs models on Scenario via MCP: text-to-speech with inline emotion tags, music from a prompt or sectioned songs, sound…
$ npx skills add scenario-labs/skills --skill scenario-elevenlabs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install scenario-labs/skills scenario-elevenlabs --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/scenario-labs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scenario-elevenlabs .claude/skills/scenario-elevenlabs && 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 "scenario-elevenlabs" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-elevenlabs into .claude/skills/scenario-elevenlabs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-elevenlabs", 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/scenario-labs/skills/tree/main/skills/scenario-elevenlabsType 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 scenario-labs/skills --skill scenario-elevenlabs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install scenario-labs/skills scenario-elevenlabs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/scenario-elevenlabs .agents/skills/scenario-elevenlabs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scenario-elevenlabs" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-elevenlabs into .agents/skills/scenario-elevenlabs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-elevenlabs", 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 scenario-labs/skills --skill scenario-elevenlabs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install scenario-labs/skills scenario-elevenlabs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/scenario-elevenlabs .cursor/skills/scenario-elevenlabs && 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 "scenario-elevenlabs" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-elevenlabs into .cursor/skills/scenario-elevenlabs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-elevenlabs", 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/scenario-labs/skills.git --path skills/scenario-elevenlabs--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 scenario-labs/skills --skill scenario-elevenlabs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install scenario-labs/skills scenario-elevenlabs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/scenario-elevenlabs .gemini/skills/scenario-elevenlabs && 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 "scenario-elevenlabs" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-elevenlabs into .gemini/skills/scenario-elevenlabs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-elevenlabs", 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 scenario-labs/skills scenario-elevenlabsInstalls 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 scenario-labs/skills --skill scenario-elevenlabs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/scenario-elevenlabs .github/skills/scenario-elevenlabs && 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 "scenario-elevenlabs" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-elevenlabs into .github/skills/scenario-elevenlabs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-elevenlabs", 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 scenario-labs/skills --skill scenario-elevenlabs -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install scenario-labs/skills scenario-elevenlabs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/scenario-elevenlabs .opencode/skills/scenario-elevenlabs && 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 "scenario-elevenlabs" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-elevenlabs into .opencode/skills/scenario-elevenlabs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-elevenlabs", 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.
scenario-elevenlabsA skill your agent uses when generating or transforming audio with ElevenLabs models on Scenario via MCP: text-to-speech with inline emotion tags, music from a prompt or sectioned songs, sound…
Scenario Elevenlabs is an agent skill from scenario-labs/skills. Use when generating or transforming audio with ElevenLabs models on Scenario via MCP: text-to-speech with inline emotion tags, music from a prompt or sectioned songs, sound effects and loops, dubbing audio or video into another language, re-voicing a recording with a preset or cloned voice, or isolating speech from noise. Keywords: ElevenLabs, Eleven v3, Multilingual v2, Turbo 2.5, Music v2, Sound Effects 2, Dubbing, Voice Changer, Speech to Speech, Voice Isolator, TTS, SFX, localization.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Text to speech and voice. It works with ElevenLabs and Model Context Protocol. The repository describes itself as: Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f6f8ab7. 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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
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.
Scenario Elevenlabs loads about 2k tokens when it runs. Until then it costs about 128 tokens; SKILL.md has 998 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 scenario-labs/skills at commit f6f8ab7, republished under its MIT licence (© scenario-labs). 998 words, ~2,012 tokens.
.claude/skills/scenario-elevenlabs/SKILL.md (or your agent's skills folder).ElevenLabs covers five audio lanes on Scenario: speech, music, sound effects, dubbing, and voice transforms. Eleven members ship side by side at authoring time, one job each: the deciding move is picking the right member, not coaxing one model into a mode. Discover them with search and treat model_schema_get as the contract: the members agree on almost nothing.
Connection and the core loop: see the scenario skill in this repo; model-agnostic audio work: the scenario-audio skill. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.
| Job | Member | Deciding inputs |
|---|---|---|
| Expressive speech, dialog | Eleven v3 | text with inline tags |
| Narration, pinned language | Multilingual 2 | languageCode |
| Fast or bulk speech | Turbo 2.5 | same shape, lower cost |
| Music from one prompt | Music v2 | prompt, durationSeconds, forceInstrumental |
| Structured song | Music Advanced v2 | required sections array |
| SFX and loops | Sound Effects 2 | text, promptInfluence, loop |
| Localize, protect names | Dubbing v2 | file, targetLang, keyterms |
| Localize, speaker control | Dubbing | numSpeakers, dropBackgroundAudio |
| Re-voice a recording | Speech to Speech, Voice Changer | audio (up to 5 min) plus a voice |
| Clean a noisy voice | Voice Isolator | audio |
The speaking members share one voice contract: voiceId takes a cloned ElevenLabs voice and always wins; publicVoice picks a preset (21 at authoring time) and is ignored beside it; neither set means the Adam preset. Voice Changer is Speech to Speech plus delivery dials (stability, similarityBoost, styleExaggeration, useSpeakerBoost). WAV output exists on the TTS members alone; outputFormat elsewhere is MP3 or Opus, absent on Dubbing and Voice Isolator. seed gives repeatability, except on Sound Effects 2, both Dubbing members, and Voice Isolator. Cost rides the content: text on TTS (40,000 characters at authoring time), durationSeconds on Music v2, sections on Advanced, file or audio on the dubbing and voice members, so dry_run long jobs and member comparisons.
Eleven v3 reads inline audio tags in the text, [whispers], [excited], [sighs], to steer delivery moment to moment across 70+ languages, and carries multi-speaker dialogue. Multilingual 2 and Turbo 2.5 do not read tags: direction there lives in stability, styleExaggeration, and speed (0.7 to 1.2), and languageCode (ISO 639-1) pins the language, a field v3 lacks. Turbo trades expressiveness for cost, roughly half the other two per run at authoring time.
Music v2 takes one prompt (mood, genre, instruments, tempo), durationSeconds (3 to 600 at authoring time, cost impact), and forceInstrumental to suppress vocals: asking in prose is unreliable. Music Advanced v2 requires sections, up to 30 ordered segments at authoring time, each with text, its own durationSeconds (3 to 120), positiveStyles and negativeStyles (up to 10 each), and contextAdherence (high binds a segment to its neighbors, low frees it). Section grammar: square brackets label ([Verse], [Chorus]), curly braces direct ({soft piano intro}), and plain text is sung as lyrics. Advanced has no instrumental flag, so any plain text will be sung. Neither music member takes numOutputs: one run is one composition, and sung lyrics land differently on every draw, so a batch of takes is several parallel runs with distinct seed values, each priced alone on its duration, which costs what a batch field would have and returns separate files with real boundaries. Two [Verse] blocks in one run to get two takes returns one file with no split point.
Both Dubbing members take an audio or video file with a required targetLang, and the output follows the input kind: video in, dubbed video out. Neither re-animates lips. Source auto-detection is spelled differently: sourceLang: "auto" on v2, an empty string on the older member. Pick v2 for keyterms (names, brands, and jargon preserved verbatim through translation); pick the older Dubbing for numSpeakers (0 auto-detects, up to 10), dropBackgroundAudio, disableVoiceCloning, and highestResolution video. Their prices differ several-fold, so dry_run both when either fits. Speech to Speech, Voice Changer and Voice Isolator, by contrast, take audio only, whatever the catalog blurb says: for a clip, pull the track with model_scenario-audio-extract, run the member, then lay the result over the clip in model_scenario-compose-video, the clip as a video layer with mute: true (fixed ids: each is Scenario's single deterministic tool for its operation, so discovery would only re-derive it). The same compositor lays a Music v2 bed under a video; layer contract in scenario-video-assembly.
search with target="models", query="elevenlabs dubbing", public=true. Prefer the newest non-deprecated hit, e.g. model_elevenlabs-dubbing-v2 (a live hit at authoring time: re-discover each session).model_schema_get with that id: fields and defaults before anything else.upload_asset the trailer video (see the scenario skill) to get an asset id.model_run with that model_id, dry_run=true, and the exact parameters={"file": "asset_x", "targetLang": "es", "keyterms": ["Aetherfall", "Kestrel Squad"]}. The file drives the price: re-estimate per input.model_run with wait=false, then jobs_wait with the returned job id, re-called with pending_job_ids on timeout, never a second model_run.asset_display the result (a video, because the input was) and confirm the keyterms survived; asset_download with no format to save it.publicVoice next to voiceId and expecting it to apply: a set voiceId always wins.forceInstrumental; on Music Advanced there is no flag and plain section text is always sung.numOutputs on the music members, or repeating one long run hoping for a different take without changing seed: same seed and settings reproduce the same music.© scenario-labs, 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 skills/scenario-elevenlabs of scenario-labs/skills.
Open the folder on GitHubat commit f6f8ab7
Scenario Elevenlabs 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 |
|---|---|---|---|---|---|---|
| Scenario Elevenlabs this skillscenario-labs/skills | 946 | — | ~2k | Automated safety check: Pass | MIT | |
| Remotion ProductionDojoCodingLabs/remotion-superpowers | 132 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Text To Speechcalesthio/OpenMontage | 66k | — | ~2.4k | Automated safety check: Pass | AGPL-3.0 | |
| Story Narratorhassancs91/claude-image-generation | 102 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Elevenlabs Agentsjezweb/claude-skills | 1.1k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Making Demo Videosnukeop/nuclear | 19k | — | ~892 | Automated safety check: Pass | AGPL-3.0 |
DojoCodingLabs/remotion-superpowers
Full video production workflow for Remotion projects. An agent skill from DojoCodingLabs/remotion-superpowers.
calesthio/OpenMontage
Generate speech audio from text using HeyGen's Starfish TTS model.
hassancs91/claude-image-generation
Generates one expressive narration MP3 per scene for an English storybook, using the ElevenLabs MCP (texttospeech).
jezweb/claude-skills
Build conversational AI voice agents on the ElevenLabs platform.
nukeop/nuclear
A skill your agent uses when making a demo, tutorial, or feature video of Nuclear.
tadaspetra/loop
Generate music using ElevenLabs Music API. An agent skill from tadaspetra/loop.
scenario-labs/skills
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Works with
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A skill your agent uses when generating or transforming audio with ElevenLabs models on Scenario via MCP: text-to-speech with inline emotion tags, music from a prompt or sectioned songs, sound…. Scenario Elevenlabs is an agent skill from scenario-labs/skills. Use when generating or transforming audio with ElevenLabs models on Scenario via MCP: text-to-speech with inline emotion tags, music from a prompt or sectioned songs, sound effects and loops, dubbing audio or video into another language, re-voicing a recording with a preset or cloned voice, or isolating speech from noise.
Scenario Elevenlabs fits situations like: transforming audio with ElevenLabs models on Scenario via MCP: text-to-speech with inline emotion tags; music from a prompt; sectioned songs; sound effects and loops.
Run `npx skills add scenario-labs/skills --skill scenario-elevenlabs -a claude-code`. Or copy the skill folder (skills/scenario-elevenlabs in scenario-labs/skills) into .claude/skills/scenario-elevenlabs in your project. Claude Code loads it when a task matches its description.
Run `npx skills add scenario-labs/skills --skill scenario-elevenlabs -a codex`. Or copy the skill folder (skills/scenario-elevenlabs in scenario-labs/skills) into .agents/skills/scenario-elevenlabs 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 scenario-labs/skills --skill scenario-elevenlabs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scenario-elevenlabs, .gemini/skills/scenario-elevenlabs, .github/skills/scenario-elevenlabs and .opencode/skills/scenario-elevenlabs in your project.
Going by SKILL.md and its folder, Scenario Elevenlabs needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. 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.
Scenario Elevenlabs is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8k 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 Scenario Elevenlabs: Remotion Production (DojoCodingLabs/remotion-superpowers, 132 stars), Text To Speech (calesthio/OpenMontage, 66k stars), Story Narrator (hassancs91/claude-image-generation, 102 stars) and Elevenlabs Agents (jezweb/claude-skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
scenario-labs (a GitHub organization) maintains it in scenario-labs/skills, which has 946 GitHub stars. The repository holds 146 skills in this directory. The repository was last updated on October 10, 2026.
Source: scenario-labs/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.