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Space Video Subtitle

CommunityPopular
SpaceZephyr
space-video-subtitle

视频字幕全流程——语音转写、口播式断句、AI 校对纠错（专有名词/同音字/标点）、生成 SRT/ASS，并可选烧录进视频。当用户说「上字幕」「转写这条视频」「生成 srt」「字幕校对」「断句」「烧录字幕」「硬字幕」「subtitle」时触发。输入是视频或音频，输出是校对过的字幕文件，可选带字幕的成片。

Overview

PublisherSpaceZephyr
Repositorycreator-buddy
Skill namespace-video-subtitle
Stars
1.5K
Forks
234
Bundled files
Instructions only
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by SpaceZephyr on GitHub. Read the source before you install it.

Installation

Install the Space Video Subtitle AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/SpaceZephyr/creator-buddy.git /tmp/creator-buddy
mkdir -p .claude/skills
cp -r /tmp/creator-buddy/video-Skills/space-video-subtitle .claude/skills/space-video-subtitle
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Space Video Subtitle in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Space Video Subtitle on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Space Video Subtitle is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

space-video-subtitle · 字幕

字幕不是「转写完就行」。口播字幕要断句舒服、专名正确、和画面对齐。分四步。

流程

text
视频/音频 → ① 转写(带时间) → ② 口播式断句 → ③ AI 校对 → ④ 输出 SRT/ASS →（可选）烧录

① 转写

  • 抽 16k 单声道 wav → ASR（SenseVoice / whisper / Volc 任一可用后端）
  • 产出带时间的词级或句级结果

② 口播式断句

字幕断句和标点不一样，按呼吸和语义断，不按书面标点：

  • 一屏字幕 ≤ 一句能一眼读完（中文一般 ≤15 字/行，竖屏更短）
  • 在自然停顿处断，不把一个词组切两屏
  • 语气词/口头语可保留（更真实），也可按用户偏好清掉

③ AI 校对（最关键）

ASR 初稿必错，重点纠三类：

  • 专有名词：人名、产品名、英文缩写（Qoder、HyperFrames、MCP…）——建一个术语表喂进去统一
  • 同音字：中文 ASR 高发（「在/再」「的/得」「做/作」）
  • 标点与数字：口播里的「百分之八十七」→「87%」按需规整

若有剪辑（space-video-edit），字幕基于剪后视频重新转写再校对，不能沿用原视频字幕。

④ 输出

  • subtitles.srt：通用
  • subtitles.ass：需要样式（字体、描边、位置、逐字卡拉OK）时用
  • 命名和成片对应

烧录（可选）

bash
# 软字幕(可关) —— 封装进容器
ffmpeg -i in.mp4 -i subtitles.srt -c copy -c:s mov_text out.mp4

# 硬字幕(烧进画面) —— 带样式
ffmpeg -i in.mp4 -vf "subtitles=subtitles.ass" -c:a copy out_hard.mp4

竖屏注意字幕安全区（别被平台 UI 挡住），一般压在画面下方 1/5 以上。

交接

  • 上游：space-video-edit 的 source_cut.mp4，或任意成片/音频
  • 下游：带字幕的成片 → space-video-cover 或直接发布

依赖

ffmpeg、一个 ASR 后端；烧录 ASS 需 ffmpeg 带 libass。

核心原则

  • 断句按呼吸，不按标点
  • 专名先建表：术语表统一，避免同一个词半集对半集错
  • 剪后重转写：剪过的视频，字幕必须重新做

Frequently asked questions

What does the Space Video Subtitle AI skill do?

视频字幕全流程——语音转写、口播式断句、AI 校对纠错（专有名词/同音字/标点）、生成 SRT/ASS，并可选烧录进视频。当用户说「上字幕」「转写这条视频」「生成 srt」「字幕校对」「断句」「烧录字幕」「硬字幕」「subtitle」时触发。输入是视频或音频，输出是校对过的字幕文件，可选带字幕的成片。

Why use Space Video Subtitle on TypingMind?

Because you install it once and use it with any model. Space Video Subtitle is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Space Video Subtitle in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpaceZephyr/creator-buddy/tree/main/video-Skills/space-video-subtitle. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Space Video Subtitle?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Space Video Subtitle?

As many as you like. As long as a model supports skills, you can use Space Video Subtitle with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Space Video Subtitle AI skill free?

It is published on GitHub by SpaceZephyr. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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