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AI Video Editing For Reels

Short-form vertical video engineered for retention, not just edited.

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Install URLhttps://ai-skills-vault.pages.dev/skills/ai-video-editing-reels.md
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Read the skill at https://ai-skills-vault.pages.dev/skills/ai-video-editing-reels.md and install it as a skill in your agent. Follow it exactly, including its checklists. Then ask me the questions it requires and do the work.

The difference between a 2,000-view video and a 200,000-view video is usually the first 2 seconds and the cut rhythm. This skill engineers both.

When to use this skill

Stage 1 - The retention architecture

Every short is built in five blocks. Get the seconds right:

BlockTimeJob
Hook0.0-1.5sStop the scroll - motion, claim, or a visual oddity
Setup1.5-4sPromise what the viewer gets, create an open loop
Payload4-20sDeliver in 3-5 beats, one idea each
Twist / proof20-30sThe thing they did not expect, or the evidence
CTA + looplast 2-3sAsk once, then cut so it loops to the hook

Under 30 seconds is the default. Up to 45 s only if the payload genuinely needs it.

Stage 2 - Hook formulas that work

  1. Contradiction - "Your phone is why your 3D looks fake."
  2. Number + outcome - "3 settings that doubled my render quality."
  3. Direct callout - "If you edit on your phone, stop doing this."
  4. Mid-action open - start inside the motion, no intro.
  5. Result first - show the finished thing, then explain how.
  6. Mistake reveal - "I wasted 6 hours so you don't have to."

Never open with a logo, a "hey guys", or an introduction. Those are three separate scroll triggers.

Stage 3 - Scripting (write it, do not improvise)

Format: [SHOT] | on-screen text | voiceover line | duration.

Rules: one idea per line, under 12 words per line, spoken at ~150 words per minute, read it aloud once and cut every word you stumbled on. Put the payoff at 60% of the runtime, not at the end - retention curves collapse after the payoff, so end fast.

Stage 4 - Edit mechanics (CapCut / VN / Premiere Rush)

Stage 5 - Captions

Stage 6 - Sound design

Sound is 50% of perceived quality.

Stage 7 - Export specs

PlatformFramefpsBitrateNotes
Instagram Reels1080x19203010-12 Mbpsunder 90 s, cover frame set manually
YouTube Shorts1080x192030-6012 Mbpsunder 60 s for the Shorts shelf
TikTok1080x19203010 Mbpsavoid watermarks from other apps

Safe zones: keep text 250 px from the top and 320 px from the bottom (platform UI).

Stage 8 - Repurposing matrix

One long video becomes many shorts:

  1. Pick the 5 most quotable 20-second moments.
  2. Each becomes one short with its own hook written fresh - never reuse the long-form sentence as a hook.
  3. Re-cut the first 3 seconds differently per platform; the same hook fatigues fast.
  4. Repost the best performer after 3 weeks with a new hook and cover.
  5. Keep a swipe file of hooks that worked; the hook is the reusable asset, not the video.

Stage 9 - Diagnose underperformance

SymptomLikely causeFix
High views, low completionPayoff too lateMove the payoff to 60%
Low views, good completionWeak hook / bad coverRewrite first 1.5 s, change cover frame
Views stall at 3 sSetup promises nothingAdd an open loop in the first line
Comments say "too fast"Cut rhythm under 1 sLengthen beats to 2-2.5 s
Looks amateurFlat audio, no captions, wrong bitrateNormalise to -14 LUFS, add captions, re-export

Quality checklist

Copy-ready agent prompt

Read the skill at the URL above. I will give you a topic and my raw material. Produce: (1) three hook options using different formulas, (2) a full shot-by-shot script table with durations, (3) the exact CapCut edit steps with cut timings, (4) caption text split per line with the keyword to highlight, (5) export settings for my platform. Then run the quality checklist on your own output and fix anything that fails.
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