Agent skill

Auto Dubbing

by sonilo-ai in sonilo-ai/skills

Dub a video into one or more other languages using Sonilo, translating and re-voicing the speech into a new video per language.

MITAuto-check: notesMedia & Creative

Install Auto Dubbing

skills CLI
$ npx skills add sonilo-ai/skills --skill auto-dubbing -a claude-code

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

GitHub CLI
$ gh skill install sonilo-ai/skills auto-dubbing --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/sonilo-ai/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/auto-dubbing .claude/skills/auto-dubbing && 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
auto-dubbing
GitHub stars
115
Token cost
~4.5k tokens
SKILL.md length
2,134 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Dub a video into one or more other languages using Sonilo, translating and re-voicing the speech into a new video per language.

  • Works in 3 steps: Sonilo MCP tools visible in this session… → No usable Sonilo MCP tools, but sonilo… → Neither — stop and run the setup-api-key…
  • A user needs a video localized into another language
  • SKILL.md covers Transport: MCP or CLI, Quick Start, Tool and Parameters, plus 5 more sections
  • Calls pip, npm and curl; reaches api.sonilo.com and platform.sonilo.com; needs SONILO_API_KEY

What it does

Auto Dubbing is an agent skill from sonilo-ai/skills. Dub a video into one or more other languages using Sonilo, translating and re-voicing the speech into a new video per language. Optionally supply your own target-language script per language, so the dub speaks those lines verbatim instead of the pipeline's own translation, and get a re-timed SRT back per language. Use when a user needs a video localized into another language, not just subtitled. Billed per language; a self-serve account's first single-language call is a free 15-second preview — confirm language…

Its SKILL.md is about 4.5k 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 Sonilo through either transport — the MCP server connected, or the sonilo CLI installed and signed in — plus credentials: a sonilo login sign-in, the…

It sits in Media & Creative, covering Text to speech and voice, Translation and MCP servers. It works with Model Context Protocol. The repository describes itself as: Agent skills for Sonilo's licensed music, sound-effects, dubbing, and audio-ducking API. The licence is MIT.

When your agent uses it

  • A user needs a video localized into another language
  • Not just subtitled

Example prompts

  • “/auto-dubbing”

Requirements

  • Python 3
  • Node.js
  • A credential in SONILO_API_KEY
  • Compatibility (from SKILL.md): Requires Sonilo through either transport — the MCP server connected, or the `sonilo` CLI installed and signed in — plus credentials: a `sonilo login` sign-in, the hosted OAuth plugin, or SONILO_API_KEY. See the setup-api-key skill.
  • Pre-approved tools (allowed-tools): Bash, Read, Write, mcp__sonilo__*

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Sonilo MCP tools visible in this session (dubbing and friends) — use them. This is the preferred path: it needs no shell, and it is the…
  2. No usable Sonilo MCP tools, but sonilo account exits 0 — use the CLI commands below. Same API, same account, same credential file. Probe…
  3. Neither — stop and run the setup-api-key skill. Do not call api.sonilo.com with curl to work around it; both transports handle uploads…

What it can do on your machine

Read from SKILL.md and the folder at commit 1ce1bd8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • mcp__sonilo__*

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip
    • npm
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.sonilo.com
    • platform.sonilo.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SONILO_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires Sonilo through either transport — the MCP server connected, or the `sonilo` CLI installed and signed in — plus credentials: a `sonilo login` sign-in, the hosted OAuth plugin, or SONILO_API_KEY. See the setup-api-key skill.

    From compatibility in the SKILL.md frontmatter.

Context cost

Auto Dubbing loads about 4.5k tokens when it runs. Until then it costs about 141 tokens; SKILL.md has 2,134 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~141
When it runs · the whole SKILL.md, loaded when a task matches
~4.5k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, mcp__sonilo__*

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 sonilo-ai/skills at commit 1ce1bd8, republished under its MIT licence (© sonilo-ai). 2,134 words, ~4,549 tokens.

Download SKILL.mdSave it as .claude/skills/auto-dubbing/SKILL.md (or your agent's skills folder).
name
auto-dubbing
description
Dub a video into one or more other languages using Sonilo, translating and re-voicing the speech into a new video per language. Optionally supply your own target-language script per language, so the dub speaks those lines verbatim instead of the pipeline's own translation, and get a re-timed SRT back per language. Use when a user needs a video localized into another language, not just subtitled. Billed per language; a self-serve account's first single-language call is a free 15-second preview — confirm language count with the user before calling.
allowed-tools
Bash, Read, Write, mcp__sonilo__*
compatibility
Requires Sonilo through either transport — the MCP server connected, or the `sonilo` CLI installed and signed in — plus credentials: a `sonilo login` sign-in, the hosted OAuth plugin, or SONILO_API_KEY. See the setup-api-key skill.
license
MIT

Sonilo Dubbing

Dub a video into one or more other languages: the speech is translated and re-voiced, producing a new .mp4 per target language (not just an audio track or subtitles). If the user already has approved translations, pass them as subtitles and the dub speaks those lines instead of translating the source itself.

Setup: See the setup-api-key skill.

⚠️ Cost — read before calling: this is billed per language. The only free run is a 15-second preview: a self-serve account's first call with ONE language and no subtitles translates just the first 15 seconds of the video, at no charge, and the result carries trial_preview with what the whole video would cost. Every call after that — and any call with several languages or scripts — is charged. Requesting four languages costs four times as much as one. Confirm the exact language list with the user before calling; do not guess a long list "to be helpful."

⏱ This call is slow. It polls for at least two hours internally regardless of any shorter TIME_OUT_SECONDS — that's the backend's own ceiling for the dubbing pipeline. A call that sits for an hour or more is normal, not a hang. Do not cancel it: the job keeps running and charging either way, and cancelling just loses the easy path to the result (use get_sfx_task, or get_generation_task on the hosted server, to recover it instead).

Transport: MCP or CLI

Pick one at the start of the session and stay on it. Do not mix the two inside a single job, and do not announce the choice.

  1. Sonilo MCP tools visible in this session (dubbing and friends) — use them. This is the preferred path: it needs no shell, and it is the only one that survives a very long generation. If a call fails to authenticate — rather than failing on its inputs — this transport is not usable in this session: go to 2 instead of retrying it.
  2. No usable Sonilo MCP tools, but sonilo account exits 0 — use the CLI commands below. Same API, same account, same credential file. Probe with sonilo account, not sonilo whoami: whoami exits 0 even when signed out, so it cannot tell the two states apart.
  3. Neither — stop and run the setup-api-key skill. Do not call api.sonilo.com with curl to work around it; both transports handle uploads, polling and retries that a bare request does not.

⏱ On the CLI path this call cannot be one command. The backend polls for up to two hours, while a host's shell tool is capped far below that (ten minutes in Claude Code), so sonilo dubbing run in the foreground will be killed with the job still running and already charged. Submit it and poll separately instead:

bash
# --timeout is the CLI's own wait, not the job's: this returns before a host
# shell can kill the process. The id comes from the "Submitted task ..." line.
sonilo dubbing --video-url https://example.com/clip.mp4 --languages es,fr --timeout 300
sonilo tasks wait <task-id>   # repeat until it finishes

The MCP path has no such limit and is the better transport for dubbing.

Quick Start

dubbing(
    video_path="~/Desktop/product-demo.mp4",
    languages=["es", "fr"]
)

With the user's own scripts, and a re-timed .srt back per language:

dubbing(
    video_path="~/Desktop/product-demo.mp4",
    languages=["es", "fr"],
    subtitles={"es": "~/Desktop/demo.es.srt", "fr": "~/Desktop/demo.fr.srt"},
    export_srt=True
)

On the hosted server every subtitle value must be an https:// URL — that server has no filesystem to read a path from, and video_url is likewise its only source. A local video or .srt/.vtt file gets such a URL from the hosted server's create_upload_url tool (steps in preflight, Step 4). The local sonilo-mcp server takes either a local .srt/.vtt path or an https URL.

Python (pip install sonilo)
python
from sonilo import Sonilo

with Sonilo() as client:  # reads SONILO_API_KEY
    result = client.dubbing.generate(
        video="product-demo.mp4",
        languages=["es", "fr"],
        # Optional: the lines to speak in each target language. A value is
        # either a local .srt/.vtt path or an https URL.
        subtitles={"es": "demo.es.srt", "fr": "demo.fr.srt"},
        export_srt=True,
        timeout=7200,  # seconds — matches the backend's own ~2h ceiling
    )
    for language, path in result.save_all("./dubbed").items():
        print(language, path)
    # Only present with export_srt. Iterate this map, not the videos: a
    # language whose export was blocked still has its .mp4.
    for language, path in result.save_all_subtitles("./dubbed").items():
        print(language, path)
JavaScript / TypeScript (npm install sonilo)
ts
import { SoniloClient } from "sonilo";
import type { DubbingResult } from "sonilo";

const client = new SoniloClient(); // reads SONILO_API_KEY

const result = await client.dubbing.generate(
  {
    video: "./product-demo.mp4",
    languages: ["es", "fr"],
    // Optional: a local .srt/.vtt path, an https URL, or a File in a browser.
    subtitles: { es: "./demo.es.srt", fr: "https://example.com/demo.fr.vtt" },
    exportSrt: true,
  },
  { timeout: 7_200_000 }, // milliseconds — matches the backend's own ~2h ceiling
);
for (const [language, url] of Object.entries((result as DubbingResult).outputs ?? {})) {
  console.log(language, url);
}
// Only present with exportSrt, and a language whose export was blocked is absent.
for (const [language, url] of Object.entries((result as DubbingResult).subtitles ?? {})) {
  console.log(language, url);
}
CLI (npm install -g sonilo-cli or pip install sonilo-cli)
bash
sonilo dubbing --video-url https://example.com/product-demo.mp4 --languages es,fr --output dubbed.mp4
# writes dubbed.es.mp4 and dubbed.fr.mp4

# With the user's own scripts. --subtitle is repeatable, once per language, and
# its value is a local .srt/.vtt path or an https URL.
sonilo dubbing --video-url https://example.com/product-demo.mp4 --languages es,fr --subtitle es=demo.es.srt --subtitle fr=demo.fr.srt --export-srt --output dubbed.mp4
# also writes dubbed.es.srt and dubbed.fr.srt beside the videos, so --output may not end in .srt

--timeout defaults to 7200 seconds already, matching the backend's ceiling. That is fine in a normal terminal; inside an agent host shell, use the shorter submit-and-poll pattern above so the shell tool does not kill the foreground command.

cURL (raw REST API, no MCP host)
bash
curl -X POST "https://api.sonilo.com/v1/dubbing" \
  -H "Authorization: Bearer $SONILO_API_KEY" \
  -F "video=@product-demo.mp4" \
  -F 'languages=["es","fr"]' \
  -F "subtitles[es]=@demo.es.srt" \
  -F "subtitles[fr]=https://example.com/demo.fr.vtt" \
  -F "export_srt=true"
# -> {"task_id": "...", "subtitle_preflight": {...}}
#    poll GET /v1/tasks/{task_id} — can take up to ~2 hours

video_url is also accepted instead of an uploaded file, but must be https — the dubbing pipeline fetches the source itself and rejects plain http.

One subtitles[<language>] field per language, each either an uploaded .srt/.vtt part or an https URL string. The bracket key is required: a bare subtitles, a repeated key, or a near-miss code (subtitles[zh-CN] — the codes use underscores, zh_cn) is rejected, never silently ignored.

Tool

ToolDescription
dubbing(video_path? | video_url?, languages?, ducking?, lipsync?, subtitles?, export_srt?, output_directory?)Dub a video into each requested language; one .mp4 saved per language, plus one .srt per language with export_srt.

Parameters

ParameterTypeDefaultNotes
video_pathstring—.mp4/.mov/.webm/.m4v/.gif (gif must be animated). Max 300s (5 min), subject to the account's upload-size cap.
video_urlstring—Must be https (not just http). Exactly one of video_path/video_url.
languageslist[str]["zh_cn", "es", "fr"]Target language codes. Supported: en, zh_cn, ja, ko, pt, pt_br, es, es_419, de, fr, it, ru, th, ar, tr, vi, id, ta, ml, kn, gu, pa_in, sd_in, hi. pt_br is Brazilian Portuguese and es_419 Latin American Spanish; plain pt/es are unqualified, so ask which the user wants when it matters. ar is unqualified Arabic rather than a country dialect, so there is nothing to ask there. pa_in and sd_in are Punjabi and Sindhi as spoken in India — the only variants available, so say so if the user's audience is in Pakistan, where both are written in another script. hi is Hindi. Omitting this still dubs into 3 languages and bills for 3 — pass an explicit single-element list if the user only wants one.
duckingbooloffDuck the background music/effects bed under the dubbed voice while it speaks. Off by default: the bed is always kept, at a constant level. Free either way.
lipsyncbooltrueWhether the speaker's mouth is re-rendered to match the dubbed speech. Set false to leave the picture completely untouched instead — the video comes back at its original resolution and frame rate rather than re-rendered, and only the audio is replaced, so the mouths keep moving to the original language. Reach for it when the footage has no on-camera speaker (screen recordings, b-roll, voice-over), or when preserving the exact original picture matters more than matching lip movement. Same price either way.
subtitlesdict[str, str]—One script per target language, e.g. {"es": "demo.es.srt"}. Each value is a local .srt/.vtt path or an https URL (the hosted MCP server takes URLs only). These are target-language scripts carrying the lines to speak, not source transcripts — the dub says them verbatim instead of translating. The key set must equal languages exactly. See the rules below; every one of them is a 422 before any charge.
export_srtboolfalseAlso return each language's lines re-timed against its delivered audio, by forced alignment, keeping the wording verbatim. Requires subtitles — sending it alone is a 422.
output_directorystringSONILO_MCP_BASE_PATHAbsolute, or relative to the base path.
Show full SKILL.md (999 more words)Show less

Bringing Your Own Scripts

Use subtitles when the user already has approved translations and wants them spoken word for word. If the user wants to review or correct the translation before it is spoken and has no script yet, run the proofread skill first — it returns one editable .srt per language, and the corrected files are exactly what subtitles takes (dropping its source-language file, which is an extra key here). Every rule below is checked before anything is charged, so breaking one costs a 422 and not money — but it also costs the user a round trip, and the first two are easy to get wrong:

  • Cover every language, and only those languages. The key set must equal languages exactly; a missing or extra code is refused and the error names it. If the user gives you a script for two of three languages, ask for the third rather than dropping it — and remember that omitting languages altogether still means three (zh_cn, es, fr), so all three need a script.
  • Target-language scripts, not source transcripts. A file of the original English lines submitted under "es" is a valid-looking script that produces a Spanish dub speaking English. The check reads the text and rejects a script whose language is not the one it was submitted under, but read what the user handed you before sending it.
  • .srt or .vtt only, lower-cased extension, up to 1 MiB each. Anything else is refused.
  • export_srt needs subtitles. There is nothing to align the audio against without a script, so on its own it is a 422.
  • A blocked export does not fail the job. The dubbed videos are still delivered and charged; that language simply has no .srt. Report it as a missing extra, never as a failed dub, and do not re-run the job for it.
  • The 202 carries subtitle_preflight — what the check made of each script — and the finished task repeats it alongside subtitle_export (per-language status, alignment_loss, issues). The pipeline stores those numbers as JSON of whatever type it recorded, so a count or a loss may arrive as a string rather than a number; do not assume one when you surface them.

Workflow Tips

  • Always ask which language(s) if the user hasn't said, rather than relying on the ["zh_cn", "es", "fr"] default — that default silently bills for three languages.
  • Consider lipsync=false when nobody is speaking on camera. Screen recordings, b-roll and voice-over have no mouth to match, and lip-syncing them re-renders the picture for no benefit — the original frames are returned untouched instead, at their own resolution and frame rate. Do not turn it off on a talking-head video unless the user asks: the mouths will visibly keep speaking the original language.
  • Ask for scripts when the user has them. If they mention approved copy, an existing localization, or a translation they want said exactly, that is subtitles — the pipeline's own translation would overwrite it. Do not invent one: a script you wrote yourself is a translation the user never approved, spoken in their video.
  • This is not the music or SFX skills (text-to-music, video-to-music, text-to-sfx, video-to-sfx). It doesn't touch music/SFX at all — it translates and re-voices existing speech.
  • Set expectations on time. Tell the user up front this can take up to ~2 hours and that walking away is fine — the result is recoverable afterward.
  • The free run is a preview, not the whole video. A self-serve account gets one free single-language call, and it translates only the first 15 seconds. When the result carries trial_preview, tell the user exactly that — the clip is the first 15 seconds of their video, and full_video_cost_usd is what the whole thing costs — rather than presenting the clip as the finished translation. Once that run is spent, an account without a payment method fails with trial_exhausted; check get_account_services (see account) first if unsure, and warn the user before calling.

Recovering a Timed-Out Call

If the call's own long poll is interrupted (e.g. the host itself times out or the session is closed), the error message — or the task id printed to stderr at submission time — gives you a task_id. Call get_sfx_task(task_id) — get_generation_task(task_id) on the hosted server — to check status and download finished files once ready; see task-recovery.

Output Files

One .mp4 per requested language, named dubbing-<first 8 chars of the task id>.<language>.mp4 — there's no prompt to name files after, so all dubbing output shares the task-id-based name.

With export_srt, one .srt lands beside each video under the same stem — dubbing-<first 8 chars of the task id>.<language>.srt — carrying that language's own lines re-timed against its delivered audio. A language whose export was blocked has its video and no .srt; that is reported as a note, not an error. On the CLI the SRTs follow --output the same way the videos do (--output dubbed.mp4 writes dubbed.es.mp4 and dubbed.es.srt), which is why --output may not itself end in .srt.

Free preview

When the run was the account's free 15-second preview, the task carries trial_preview in every state:

json
"trial_preview": {
  "preview_seconds": 15,
  "source_duration_seconds": 60.0,
  "trimmed": true,
  "languages": 1,
  "full_video_cost_usd": 3.49,
  "message": "Free preview: the first 15 seconds of your 60-second video, in 1 language. Translating the full video costs $3.49 — add funds at https://platform.sonilo.com/dashboard/billing"
}

duration_seconds is then 15, not the source's length, and the delivered .mp4 is that first 15 seconds. The MCP tool and both CLIs print the message with their other status lines; the SDKs expose it as DubbingResult.trial_preview. Relay it to the user, and offer the full run (add funds, call again — that run is billed) rather than treating the clip as the whole video.

Error Handling

Common errors: 401 invalid key, 402 insufficient balance (dubbing has no trial to exhaust — it bills immediately), 413 file too large, 422 invalid parameters or unsupported language code (rejected before any charge), 429 rate limit. See the account skill.

A 422 with code: SUBTITLE_PREFLIGHT_BLOCKED means a submitted script itself did not pass the check. The message names the blocked languages and their issue codes, and details carries the per-language report. Nothing was charged — fix or replace that script and resubmit; do not strip subtitles and run the job anyway, which would silently deliver the pipeline's own translation instead of the user's approved lines.

© sonilo-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

Just SKILL.md in auto-dubbing of sonilo-ai/skills.

Open the folder on GitHubat commit 1ce1bd8

Compare with similar skills

Auto Dubbing 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.

Auto Dubbing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Auto Dubbing this skillsonilo-ai/skills115—~4.5kAutomated safety check: NotesMIT
Edu Math Videowy51ai/edulab1.4k—~2.5kAutomated safety check: NotesApache-2.0
Extension Puppeteer Debuggingmengxi-ream/read-frog10k—~2kAutomated safety check: NotesGPL-3.0
Gearcoleco Romhackingdrhelius/Gearcoleco142—~3.9kAutomated safety check: PassGPL-3.0
Neurolink Guidejuspay/neurolink144—~1.4kAutomated safety check: PassMIT
Managing MCP IndexComfy-Org/workflow_templates1.3k—~1.9kAutomated safety check: NotesMIT

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Questions about Auto Dubbing

What does Auto Dubbing do?

Dub a video into one or more other languages using Sonilo, translating and re-voicing the speech into a new video per language. Auto Dubbing is an agent skill from sonilo-ai/skills. Dub a video into one or more other languages using Sonilo, translating and re-voicing the speech into a new video per language.

When should I use Auto Dubbing?

Auto Dubbing fits situations like: A user needs a video localized into another language; not just subtitled.

How do I install Auto Dubbing in Claude Code?

Run `npx skills add sonilo-ai/skills --skill auto-dubbing -a claude-code`. Or copy the skill folder (auto-dubbing in sonilo-ai/skills) into .claude/skills/auto-dubbing in your project. Claude Code loads it when a task matches its description.

How do I install Auto Dubbing in Codex?

Run `npx skills add sonilo-ai/skills --skill auto-dubbing -a codex`. Or copy the skill folder (auto-dubbing in sonilo-ai/skills) into .agents/skills/auto-dubbing in your project. Codex loads it when a task matches its description.

Can I use Auto Dubbing 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 sonilo-ai/skills --skill auto-dubbing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-dubbing, .gemini/skills/auto-dubbing, .github/skills/auto-dubbing and .opencode/skills/auto-dubbing in your project.

What does Auto Dubbing need to run?

Going by SKILL.md and its folder, Auto Dubbing needs the command-line tools its instructions call (pip, npm and curl) and credentials named SONILO_API_KEY. Our summary lists: Python 3; Node.js; A credential in SONILO_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Write, mcp__sonilo__*. Compatibility (from SKILL.md): Requires Sonilo through either transport — the MCP server connected, or the `sonilo` CLI installed and signed in — plus credentials: a `sonilo login` sign-in, the hosted OAuth plugin, or SONILO_API_KEY. See the setup-api-key skill..

Does Auto Dubbing access the network?

SKILL.md names 2 domains. In commands or code: api.sonilo.com and platform.sonilo.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Auto Dubbing safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Auto Dubbing use?

Auto Dubbing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Auto Dubbing use?

About 4.5k tokens (SKILL.md is roughly 18k 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 Auto Dubbing?

Skills that share tags, products or a category with Auto Dubbing: Edu Math Video (wy51ai/edulab, 1.4k stars), Extension Puppeteer Debugging (mengxi-ream/read-frog, 10k stars), Gearcoleco Romhacking (drhelius/Gearcoleco, 142 stars) and Neurolink Guide (juspay/neurolink, 144 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Auto Dubbing?

sonilo-ai (a GitHub organization) maintains it in sonilo-ai/skills, which has 115 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 9, 2026.

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