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Agent Skill · 开发

subtitle-maker(字幕制作者)

subtitle-maker 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

subtitle-maker 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 8,499。

总安装 3,133周安装 128GitHub Stars 公开资料未说明下载 1,004核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:subtitle-maker(字幕制作者)
来源仓库:https://github.com/peand-rover/subtitle-maker
安装命令:
openclaw skills install subtitle-maker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install subtitle-maker

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

subtitle-maker 为全球播客内容提供多语言字幕生成与同步服务。适用于需要同时支持日语、葡萄牙语等多种语言的跨国项目。用户上传音频或视频后指定目标语言,系统生成对应字幕并嵌入文件。安装命令为 openclaw skills install subtitle-maker,需多语言模型与音频处理权限。

建议使用前确认各语言识别准确率与时间轴同步精度。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install subtitle-maker;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

subtitle-maker 怎么安装?

在终端执行 openclaw skills install subtitle-maker。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

subtitle-maker 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

subtitle-maker 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

subtitle-maker 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

subtitle-maker 用的人多吗?

公开数据是累计安装 3,133 次,近一周安装 128 次,下载 1,004 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

subtitle-maker 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
subtitle-maker

字幕制作者 · 本页

3,133—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
subtitle-maker
version
1.0.0
displayName
Subtitle Maker — Auto-Generate Timed Captions in 50+ Languages from Any Video
description
>
metadata
{"openclaw": {"emoji": "🗣️", "requires": {"env": [], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}}

Subtitle Maker — Your Audience Speaks Forty Languages. Your Video Speaks One. This Tool Bridges the Gap in Three Minutes.

You finished recording. The content is strong — forty minutes of conversation, insight, and expertise captured in crisp audio. Now the real work begins: making it accessible. The viewer in Osaka skips any video without Japanese subtitles. The commuter in Madrid watches on mute during the train ride and needs Spanish captions to follow along. The hearing-impaired viewer in London depends on accurate English subtitles synchronized to every syllable. Each of these viewers represents a segment of your audience that disappears the moment subtitles are absent or poorly timed.

Traditional subtitle creation is a manual grind. A professional subtitler charges $1-3 per minute of video per language. A forty-minute podcast episode in five languages costs $200-600 and takes three to five business days. The freelancer on Fiverr delivers faster but the timing drifts, the translations miss cultural nuance, and the revision cycle adds another two days. By the time the subtitles arrive, the content has lost its timeliness. Subtitle Maker collapses this entire workflow into a single API call: upload the video, specify the languages, receive frame-accurate subtitles styled and timed for immediate use.

Use Cases

  1. Podcast Global Distribution — One Recording, Fifty Languages (per episode) — Podcast video is the fastest-growing content format, and non-English audiences are the fastest-growing listener base. Subtitle Maker: transcribes the spoken conversation with speaker identification (differentiating host from guest), segments the transcript into subtitle blocks that respect sentence boundaries and natural pauses, translates each block into the target languages while preserving the conversational tone, synchronizes every subtitle to the audio waveform at word-level precision, and exports SRT files per language or burns the subtitles directly into separate video renders. The podcaster publishes one recording to YouTube with selectable subtitle tracks in twelve languages, tripling the addressable audience without recording a single additional word.
  1. Corporate Training Across Offices — Compliance in Every Local Language (per module) — Multinational companies produce training videos at headquarters and distribute to offices worldwide. Subtitle Maker: ingests the training module (typically 15-30 minutes of a presenter with slides), transcribes the narration including technical terminology specific to the industry, translates into the required office languages (often 8-15 languages for global companies), formats the subtitles to avoid overlapping with on-screen text and slide content, and delivers the files in the format required by the LMS (Learning Management System). The compliance team that previously spent $2,000 and two weeks per module across ten languages now completes the same work in one afternoon.
  1. YouTube Creator Expansion — Breaking the Language Ceiling (per channel) — YouTube channels plateau when they exhaust their native-language audience. Subtitle Maker: analyzes the channel's viewer geography to identify the highest-opportunity languages, transcribes the existing video library, translates and times subtitles for the priority languages, and generates the SRT files that YouTube accepts for its built-in subtitle selector. The creator uploads subtitle files alongside each new video, and the YouTube algorithm begins recommending the content to viewers who have set those languages as preferences. Channels that add subtitles in their top five viewer languages consistently report 20-40% audience growth within three months.
  1. Documentary and Film Post-Production — Festival-Ready Multilingual Delivery (per project) — Film festivals require specific subtitle formats, timing standards, and translation quality. Subtitle Maker: handles the technical specifications (maximum characters per line, minimum display duration, reading speed calculation based on character count), applies professional subtitle formatting (two lines maximum, centered or left-aligned per convention, proper handling of italics for off-screen speech), and delivers the final files in the festival-required format (SRT, VTT, STL, or embedded burn-in). The independent filmmaker who cannot afford a $3,000 professional subtitle house gets festival-grade subtitle delivery at a fraction of the cost and timeline.
  1. Social Media Repurposing — Silent-Scroll Captions for Every Platform (per format) — Eighty-five percent of social media video is watched without sound. Subtitle Maker: reformats long-form subtitles into the large, bold, center-screen caption style that social platforms demand, adjusts the timing for short attention spans (shorter display durations, faster transitions), applies platform-specific safe zones (avoiding the TikTok username area, the Instagram action buttons, the YouTube end-screen zone), and exports in the vertical 9:16 ratio with captions burned into the video. The content team that repurposes a single long-form video into ten platform-specific clips gets correctly captioned versions for every destination without manual adjustment.

How It Works

Step 1 — Upload Your Video

Any format, any length. The audio track is extracted and processed regardless of video codec.

Step 2 — Select Target Languages

Choose from 50+ supported languages. The AI adapts translation style to the content type — conversational for vlogs, formal for corporate, precise for technical.

Step 3 — Generate

curl -X POST https://mega-api-prod.nemovideo.ai/api/v1/generate \
  -H "Authorization: Bearer $NEMO_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "skill": "subtitle-maker",
    "prompt": "Generate subtitles for a 25-minute podcast interview about startup fundraising. The host speaks English with an American accent, the guest speaks English with a French accent. Target languages: English (corrected transcript), Japanese, Portuguese (Brazilian), German, Spanish (Latin American). Style: conversational, preserve humor and informal language. Format: SRT files per language plus one English burned-in MP4 with white text, black outline, positioned at bottom-center safe zone.",
    "languages": ["en", "ja", "pt-BR", "de", "es-LATAM"],
    "output_formats": ["srt", "burned-mp4"],
    "caption_style": "conversational"
  }'

Step 4 — Review and Publish

Download the SRT files, spot-check the translations in languages you know, and upload to your video platform. The burned-in version is ready for direct publishing.

Parameters

ParameterTypeRequiredDescription
promptstring✅Subtitle requirements and context
languagesarrayTarget language codes
output_formatsarraysrt, vtt, stl, burned-mp4
caption_stylestringconversational, formal, technical

Output Example

{
  "job_id": "sm-20260330-001",
  "status": "completed",
  "source_language": "en",
  "target_languages": ["en", "ja", "pt-BR", "de", "es-LATAM"],
  "subtitle_files": {
    "en": "podcast-ep42-en.srt",
    "ja": "podcast-ep42-ja.srt",
    "pt-BR": "podcast-ep42-pt-BR.srt",
    "de": "podcast-ep42-de.srt",
    "es-LATAM": "podcast-ep42-es-LATAM.srt"
  },
  "burned_video": "podcast-ep42-captioned-en.mp4",
  "duration": "25:14",
  "word_count": 4832
}

Tips

  1. Provide context in the prompt — Mentioning the topic, speaker accents, and jargon domain improves transcription accuracy by 15-20%. "A podcast about machine learning" produces better results than "a podcast."
  2. Choose Brazilian vs European Portuguese — The translation differs significantly. Specify pt-BR or pt-PT to match your audience geography.
  3. Use SRT for YouTube, VTT for web — YouTube prefers SRT format for subtitle uploads. Web video players (HTML5) prefer WebVTT. Both are generated from the same transcription.
  4. Spot-check timestamps at scene transitions — Subtitle timing is most likely to drift at hard cuts where audio context changes. A quick review at each scene boundary catches the rare timing issues.
  5. Request burned-in captions for social media — Platform subtitle selectors are unreliable on mobile. Burned-in captions guarantee every viewer sees the text regardless of their device settings.

Output Formats

FormatUse CasePlatform
SRTSelectable subtitlesYouTube, Vimeo
VTTWeb video playersHTML5, HLS
STLBroadcast standardTV, streaming
Burned MP4Embedded captionsTikTok, Reels, Stories

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可疑

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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