ugc-hook-analyzer

Analyze UGC openings for retention strength and generate improved hook alternatives tuned for TikTok, Reels, and Shorts. Use when the user asks why hooks underperform, wants first-3-second diagnosis, or needs niche-specific hook rewrites.

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Install skill "ugc-hook-analyzer" with this command: npx skills add leooooooow/ugc-hook-analyzer

UGC Hook Analyzer

Skill Card

  • Category: Creator Content
  • Core problem: Why do some UGC openings retain while others fail in the first seconds?
  • Best for: Pre-shoot UGC optimization
  • Expected input: UGC script or transcript + target audience + product angle + platform context
  • Expected output: Hook diagnosis + improved variants + execution notes
  • Creatop handoff: Use winning hooks in short-video-hook-lab and script packs

Workflow

  1. Classify the current hook archetype and likely retention weaknesses.
  2. Map the mismatch between audience intent and the opening promise.
  3. Generate alternative hooks across 2-3 emotional or strategic angles.
  4. Add execution notes for visual framing, spoken delivery, and pacing.
  5. Flag clickbait, compliance, or clarity risks before recommending rewrites.

Output format

Return in this order:

  1. Executive summary (max 5 lines)
  2. Hook diagnosis table
  3. Improved hook variants by angle
  4. Execution notes for delivery
  5. Risks and watch-outs

Quality and safety rules

  • Avoid clickbait promises that cannot be fulfilled.
  • Keep hooks consistent with product reality and compliance constraints.
  • Prefer concrete language over hype-only wording.
  • Distinguish between weak curiosity and strong audience-relevant tension.
  • Make rewrites feel native to short-form video, not ad-copy pasted into a hook.

License

Copyright (c) 2026 Razestar.

This skill is provided under CC BY-NC-SA 4.0 for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license.

Commercial use requires a separate paid commercial license from Razestar. No trademark rights are granted.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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