字幕生成与校对·多语种与断句

SKILL内容创作
内容创作 未标注权限 许可证不明确
安装这个技能

字幕生成、字幕校对、断句处理、时间轴对齐、多语种字幕、翻译字幕、听译、逐字稿、字幕规范、阅读速度、每行字数、双行限制、标点处理、数字与单位、人名地名、术语统一、轴误差校正、SRT 导出、VTT 导出、样式设置、把音视频转成读起来舒服的字幕。;字幕一行太长看着累;字幕和声音对不上;需要快速做一版字幕草稿

一句话选型结论

按资料字段整理

字幕生成与校对·多语种与断句是内容创作类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类内容创作 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_8ee65e73/subtitle-maker
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

内容创作
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_8ee65e73仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791522951
正文体量9.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写文章与脚本

按主题产出初稿与分镜脚本。

改稿与润色

把草稿改顺、统一语气。

多平台文案改写

同一内容按平台改成长短不同的版本。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在内容创作场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
字幕生成与校对·多语种与断句当前 未标注权限 未标注 未标注 未标注 有
AI 视频生成 调用外部服务 GitHub 仓库 431.3 万 Codex、Claude、Cursor 有
视频帧 联网访问 ClawHub 市场 262.1 万 OpenClaw 有
Markdown 转换器 写入文件 ClawHub 市场 135.3 万 OpenClaw 有
哔哩哔哩全合一 接触敏感数据 ClawHub 市场 64.1 万 OpenClaw 有
Remotion video toolkit 命令行 浏览器控制 ClawHub 市场 63.9 万 OpenClaw 有

SKILL.md 全文

9.6 KB
模型实际读到的说明书原文,来自技能仓库

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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Parameter Type Required Description
prompt string ✅ Subtitle requirements and context
languages array Target language codes
output_formats array srt, vtt, stl, burned-mp4
caption_style string conversational, 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

Format Use Case Platform
SRT Selectable subtitles YouTube, Vimeo
VTT Web video players HTML5, HLS
STL Broadcast standard TV, streaming
Burned MP4 Embedded captions TikTok, Reels, Stories

Related Skills

  • ai-video-subtitle-editor — Edit existing subtitles
  • caption-creator-ai — Caption creation
  • subtitle-sync-tool — Timing correction
  • ai-video-travel-vlog-tips — Vlog captioning

常见问题

5 问
答案由本站依据条目字段整理
字幕生成与校对·多语种与断句怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_8ee65e73/subtitle-maker。安装方式为未标注。装完刷新技能列表或重开客户端。

字幕生成与校对·多语种与断句支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

字幕生成与校对·多语种与断句权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

字幕生成与校对·多语种与断句收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

字幕生成与校对·多语种与断句用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。