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AI-AnswerAI-Answer/ContentRepurposeSystem/skills/short-form/SKILL.md

short-form

Skill26 starsChanged 16 days agoMITView on GitHub

Repurpose a long-form YouTube video into short-form clips for Reels, Shorts, and TikTok. Identifies clip-worthy moments from the transcript, generates hooks, captions, and hashtags per clip. Trigger on phrases like 'create shorts from this video', 'repurpose for short-form', 'make reels from my video', 'turn this into shorts', 'clip this video', or any request to extract short-form content from a YouTube video.

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  • In this repository9 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

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    Very specific

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  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create Reels, Shorts, or TikTok clips from a YouTube video

    line 13
  2. Distinctive:

    If all methods fail: "Captions aren't available yet — YouTube takes 30-60 minutes after upload.

    line 72
  3. Distinctive:

    Approximate Timestamps: Start → End (from original video).

    line 99
  4. Distinctive:

    If the transcript segment has tangents or loose pacing for short-form, provide a tightened version.

    line 111
  5. Distinctive:

    Vertical thinking: Not everything translates to short-form.

    line 191

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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Files
SKILL.md

Short-Form Repurposing Engine

Turn a long-form YouTube video into 3-5 short-form clips optimized for Reels, Shorts, and TikTok. Identifies the most clip-worthy moments, generates platform-specific hooks and captions, and provides timestamps for editing.

When This Skill Activates

Activate when the user wants to:

  • Create Reels, Shorts, or TikTok clips from a YouTube video
  • Repurpose long-form content into short-form
  • Identify the best clips from a video
  • Generate captions and hooks for short-form content

Example triggers:

  • "Create shorts from my latest video"
  • "Repurpose this for short-form"
  • "What are the best clips from this video?"
  • /short-form or /short-form <youtube-url>

Pipeline

Step 1 — Get the Transcript

If the user provided a YouTube URL, use it.

If the user said "latest video", auto-detect:

yt-dlp --flat-playlist --playlist-end 1 --print url --print title "https://www.youtube.com/channel/YOUR_CHANNEL_ID/videos"

Confirm with user: "Found your latest video: [TITLE]. Pulling clips from this one."

Fetch transcript using these methods in order:

Method 1 — Apify:

node "${CLAUDE_PLUGIN_ROOT}/skills/content-cascade/scripts/fetch-transcript-apify.js" "<youtube-url>"

Method 2 — youtube-transcript:

node "${CLAUDE_PLUGIN_ROOT}/skills/content-cascade/scripts/fetch-transcript.js" "<youtube-url>"

Method 3 — yt-dlp subtitles:

yt-dlp --write-sub --sub-lang en-orig --skip-download --sub-format json3 -o "$TEMP/yt-transcript" "<youtube-url>"

Fall back to --write-auto-sub --sub-lang en if en-orig unavailable.

Parse json3:

node -e "
const fs = require('fs');
const path = require('path');
const dir = process.env.TEMP;
const file = fs.readdirSync(dir).find(f => f.startsWith('yt-transcript') && f.endsWith('.json3'));
if (!file) { console.error('No subtitle file found'); process.exit(1); }
const data = JSON.parse(fs.readFileSync(path.join(dir, file), 'utf8'));
const text = data.events.filter(e => e.segs).map(e => e.segs.map(s => s.utf8 || '').join('')).join(' ').replace(/\n/g, ' ').replace(/\\s+/g, ' ').trim();
console.log(text);
"

Validation: Sanity-check first 1-2 sentences against video title. Wrong transcript → try next method.

If all methods fail: "Captions aren't available yet — YouTube takes 30-60 minutes after upload. Try again later."

Step 2 — Identify Clip-Worthy Moments

Scan the transcript for 3-5 best short-form moments. Each clip: 30-90 seconds when spoken (~75-225 words).

What makes a clip-worthy moment:

  1. Self-contained insight — makes sense without the full video
  2. High shock value — surprising stat, counterintuitive claim, unexpected result (70+ shock score)
  3. Emotional peak — passion, frustration, excitement, humor in delivery
  4. Quotable statement — a line worth screenshotting and sharing
  5. Demo moment — visual reveal or before/after that works vertical
  6. Contrarian take — bold opinion that sparks comments/debate

NOT clip-worthy:

  • Setup/context without payoff
  • References to other parts of the video ("as I mentioned earlier...")
  • Technical walkthroughs needing wide screen context
  • Transitions between topics

Step 3 — Generate Content Per Clip

For each clip:

Clip Title: Working title for internal reference.

Approximate Timestamps: Start → End (from original video). If no json3 timestamps available, estimate at ~150 words per minute.

Transcript Excerpt: The exact words from this segment.

Short-Form Hook (first 1-3 seconds): The scroll-stopper. Apply Kallaway framework:

  • Text overlay: 2-5 words, maximum impact. First frame.
  • Spoken opening: First sentence. Immediate curiosity or tension.
  • Map to a Horseman desire
  • Fifth-grade reading level

Rewritten Script (if needed): If the transcript segment has tangents or loose pacing for short-form, provide a tightened version. If the original is already tight, skip.

Caption: Platform-ready. Short, punchy:

  • One-line hook (complements, doesn't duplicate the video hook)
  • 1-2 lines of context or value tease
  • CTA ("Follow for more Claude Code tips" or "Full breakdown linked in bio")

Hashtags: 5-10 relevant. Mix of:

  • Broad reach: #ai #claudecode #programming #tech
  • Niche: #claudecodetips #aiautomation #ragpipeline
  • Trending (if applicable)

Platform Notes:

  • Reels: Polished editing, text overlays throughout, trending audio optional
  • Shorts: YouTube algorithm favors rewatchability — should make sense on loop
  • TikTok: Raw/authentic > polished, conversation-starter hooks, stitch/duet bait

Step 4 — Rank Clips

  1. Best for reach — highest viral potential (broadest appeal, highest shock)
  2. Best for conversions — drives traffic to full video or your paid community
  3. Best for engagement — sparks the most comments/debate

Step 5 — Output

## Video: [Title]
**Source:** [YouTube URL]
**Clips identified:** [N]

---

### Clip 1: [Clip Title] — Best for [reach/conversions/engagement]

**Timestamps:** [MM:SS — MM:SS]
**Duration:** ~[X] seconds

**Hook:**
- Text overlay: "[2-5 words]"
- Spoken: "[First sentence]"

**Transcript excerpt:**
> [Exact words from this segment]

**Rewritten script:** [Tightened version, or "Original is tight — use as-is"]

**Caption:**
[Ready-to-paste]

**Hashtags:** #tag1 #tag2 #tag3 #tag4 #tag5

---

### Clip 2: [Clip Title]
[Same structure...]

Step 6 — Save to Vault (Optional)

Save to YOUR_VAULT_PATH/content/short-form/YYYY-MM-DD-<slug>-shorts.md:

---
title: "Short-Form Clips — [Video Title]"
date: YYYY-MM-DD
youtube_video_id: VIDEO_ID
source_video: "[Video Title]"
clips: [N]
status: draft
---

[Full clip breakdown]

Key Principles

  • First frame decides everything. Short-form lives or dies in 1 second. Text overlay + opening words must stop the scroll.
  • Self-contained > teaser. Deliver value in the clip itself. "Watch the full video for the answer" kills completion rate. Give value, THEN mention the full video.
  • Vertical thinking. Not everything translates to short-form. Only pick moments that genuinely work in the format.
  • Comments = algorithm fuel. Contrarian takes, surprising stats, and hot takes drive comments, which drive reach.
  • 3-5 clips per video is the sweet spot. More and quality drops. Fewer and you're leaving content on the table.
  • Don't over-produce. Captions should sound natural, not copywritten. your voice is direct and conversational.

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