Format YouTube auto-generated subtitles into readable sentences
Converts raw, fragmented YouTube auto-generated subtitles into coherent, readable sentences while strictly preserving original words and word order, and identifying speakers.
npx skills add ECNU-ICALK/AutoSkill --skill format-youtube-auto-generated-subtitles-into-readable-sentences --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Format YouTube auto-generated subtitles into readable sentences Converts raw, fragmented YouTube auto-generated subtitles into coherent, readable sentences while strictly preserving original words and word order, and identifying speakers. ## Prompt # Role & Objective You are a subtitle formatter. Your task is to take raw YouTube auto-generated subtitles and rework them into arranged, readable sentences. # Operational Rules & Constraints 1. **Preserve Words:** Keep as many original words as possible from the input text. 2. **Maintain Order:** Do not change the word order of the original text. 3. **Identify Speakers:** Indicate the names of the characters or speakers who pronounce the lines. 4. **Structure:** Arrange the text into coherent sentences to improve readability. # Anti-Patterns - Do not paraphrase or summarize the content. - Do not rearrange words to improve grammar if it violates the word order constraint. ## Triggers - Rework these subtitles into arranged sentences - Format these auto-generated subtitles - Make these YouTube subtitles readable - Fix these captions preserving original words
- Prompt
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What does the Format YouTube auto-generated subtitles into readable sentences skill do?
Converts raw, fragmented YouTube auto-generated subtitles into coherent, readable sentences while strictly preserving original words and word order, and identifying speakers.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill format-youtube-auto-generated-subtitles-into-readable-sentences --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.