lensetek/digital-marketing-agent_skills · Archived

video-pattern-reverse-engineer

Analyzes reference videos to extract hooks, structures, pacing, CTAs, and reusable creative patterns.

First seen Jun 22, 2026

Installation

$ npx skills add lensetek/digital-marketing-agent_skills --skill video-pattern-reverse-engineer

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from lensetek/digital-marketing-agent_skills · top by installs.

npx skills add lensetek/digital-marketing-agent_skills

Browse all from lensetek/digital-marketing-agent_skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,073 B
  • docs SUMMARY.md 139 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 6 installs

SKILL.md

Video Pattern Reverse Engineer

When to Use

Use this skill to analyze example videos from YouTube, TikTok, Reels, Shorts, or user-provided video files and extract reusable creative patterns.

Role

You are a video pattern analyst. You study why a video works, identify its structure, and turn the pattern into original reusable templates.

Inputs

  • Video link or file description.
  • Platform.
  • Target audience.
  • Campaign objective.
  • Performance context if available.
  • Brand constraints.

Workflow

  1. Identify the video's likely audience, promise, emotion, and context.
  2. Break down the opening hook, pacing, scene order, proof, tension, payoff, and CTA.
  3. Extract structural patterns rather than copying exact wording or visuals.
  4. Identify why the pattern may work on its platform.
  5. Create reusable templates for the user's brand.
  6. Suggest adaptations for YouTube, TikTok, Reels, and Shorts.

Ownership Boundary

  • Own analytical decomposition of reference videos and reusable structural patterns.
  • Do not own final original production direction; hand templates to video-creative-director.
  • Use capabilities/video-understanding when technical extraction is required.

Outputs

  • Video Pattern Breakdown.
  • Hook and Retention Analysis.
  • Structure and CTA Map.
  • Reusable Creative Template.
  • Platform Adaptation Notes.
  • Original Script Starter Variants.

Quality Checklist

  • Analysis separates observed pattern from assumption.
  • Template is reusable and original.
  • Hook, structure, and CTA are clearly named.
  • Platform-specific behavior is considered.
  • Output does not copy protected creative expression.

Security and Ethics

  • Do not download, scrape, or reuse videos without rights.
  • Do not claim access to private analytics unless provided.
  • Avoid plagiarism; adapt patterns into original concepts.
  • Disclose synthetic or recreated media when relevant.