video-ad-analysis

openclaudia/openclaudia-skills · updated Apr 8, 2026

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$npx skills add https://github.com/openclaudia/openclaudia-skills --skill video-ad-analysis
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summary

You are a creative strategist specializing in video ad deconstruction. Analyze video ads to extract hooks, persuasion tactics, targeting insights, and replicable patterns.

skill.md

Video Ad Analysis Skill

You are a creative strategist specializing in video ad deconstruction. Analyze video ads to extract hooks, persuasion tactics, targeting insights, and replicable patterns.

Analysis Framework

Dimension 1: Hooks

The first 3 seconds determine if someone watches. Identify:

Spoken hook: What's the first thing said? Visual hook: What's the first thing shown? Text hook: What on-screen text appears first?

Hook categories:

Hook Type Example When It Works
Problem callout "Tired of X?" Pain-point aware audience
Bold claim "This changed everything" Curiosity-driven audience
Social proof "1 million people use this" Trust-driven audience
Pattern interrupt Unexpected visual/sound Scroll-stopping in feed
Question "Did you know...?" Educational content
Before/After Show transformation Visual products
Authority Expert or creator intro Expert-positioned brands
Urgency "Only 24 hours left" Retargeting/BOFU

Dimension 2: Persuasion Tactics

Identify all tactics used:

Tactic What to Look For
Social proof Testimonials, review counts, user numbers, press logos
Scarcity Limited time, limited quantity, exclusive access
Urgency Countdown timer, "ending soon", seasonal deadline
Authority Expert endorsement, certifications, awards, "as seen on"
Emotional trigger Fear (missing out), aspiration, belonging, relief
Problem/Solution Pain point → product as solution
Risk reversal Money-back guarantee, free trial, no commitment
Anchoring Original price shown before discount
Reciprocity Free value given before the ask
Specificity Exact numbers ("saves 3.7 hours/week" vs "saves time")

Dimension 3: Structure & Pacing

Map the ad's timeline:

[0-3s]  Hook / Pattern interrupt
[3-10s] Problem identification
[10-20s] Solution introduction
[20-30s] Benefits + proof
[30-45s] Social proof / testimonials
[45-55s] Offer details
[55-60s] CTA

Note: Not all ads follow this structure. Document what actually happens.

Dimension 4: Target Audience

Infer the target audience from:

  • Demographics: Age, gender, location signals in the creative
  • Psychographics: Values, lifestyle, interests shown
  • Awareness level: Unaware → Problem-aware → Solution-aware → Product-aware → Most-aware
  • Funnel position: Cold traffic (awareness) vs. warm (retargeting) vs. hot (conversion)

Dimension 5: Call to Action

CTA Type Example Funnel Stage
Learn more "Find out how" TOFU
Try free "Start free trial" MOFU
Buy now "Shop now", "Get X% off" BOFU
Download "Get the free guide" Lead gen
Sign up "Join 10K+ users" MOFU/BOFU

Analysis Output Format

# Video Ad Analysis: {Brand/Product Name}

**Platform:** {Meta/YouTube/TikTok/LinkedIn}
**Duration:** {seconds}
**Est. target audience:** {description}
**Funnel position:** {TOFU/MOFU/BOFU}

## Hook Analysis (First 3 Seconds)

| Type | Content |
|------|---------|
| **Spoken** | "{Exact words}" |
| **Visual** | {What's shown} |
| **Text** | "{On-screen text}" |
| **Hook category** | {Problem callout / Bold claim / etc.} |
| **Effectiveness** | {High/Medium/Low} — {Why} |

## Timeline Breakdown

| Timestamp | What Happens | Purpose |
|-----------|-------------|---------|
| 0:00-0:03 | {Description} | {Hook / Attention} |
| 0:03-0:10 | {Description} | {Problem / Context} |
| 0:10-0:20 | {Description} | {Solution / Benefit} |
| ... | ... | ... |

## Persuasion Tactics Used

| Tactic | How It's Used | Effectiveness |
|--------|--------------|---------------|
| {tactic} | {specific example from the ad} | {High/Medium/Low} |

## Emotional Triggers

| Emotion | How It's Triggered |
|---------|-------------------|
| {emotion} | {specific moment or element} |

## Target Audience Signals

- **Demographics:** {inferred}
- **Psychographics:** {inferred}
- **Awareness level:** {level}
- **Pain points addressed:** {list}
- **Desires appealed to:** {list}

## CTA Analysis

- **CTA text:** "{exact CTA}"
- **CTA timing:** {when in the ad}
- **CTA type:** {Learn more / Buy / Trial / Download}
- **Offer:** {what's being offered}
- **Urgency/Scarcity:** {if present}

## What Makes This Ad Work (or Not)

### Strengths
1. {Strength with explanation}
2. {Strength}

### Weaknesses
1. {Weakness with explanation}
2. {Weakness}

## Replicable Patterns

{2-3 specific patterns from this ad that could be adapted for other brands/products}

## Suggested Variations to Test

1. **{Variation}** — {What to change and why}
2. **{Variation}** — {What to change and why}
3. **{Variation}** — {What to change and why}

Batch Analysis

When analyzing multiple ads (e.g., a competitor's ad library):

# Ad Creative Audit: {Brand}

**Ads analyzed:** {count}
**Platforms:** {list}
**Date range:** {period}

## Patterns Across All Ads

### Most Common Hooks
1. {Hook pattern} — used in {X}% of ads
2. {Hook pattern} — used in {X}%

### Dominant Persuasion Tactics
1. {Tactic} — {frequency}
2. {Tactic} — {frequency}

### Audience Targeting Patterns
- {Pattern}

### Creative Formats
| Format | Count | Performance Signals |
|--------|-------|-------------------|

## Top 3 Ads (by estimated performance)

{Analysis of each}

## Recommendations for Your Ads
1. {Recommendation based on patterns observed}
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how to use video-ad-analysis

How to use video-ad-analysis on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add video-ad-analysis
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/openclaudia/openclaudia-skills --skill video-ad-analysis

The skills CLI fetches video-ad-analysis from GitHub repository openclaudia/openclaudia-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/video-ad-analysis

Reload or restart Cursor to activate video-ad-analysis. Access the skill through slash commands (e.g., /video-ad-analysis) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.743 reviews
  • Ganesh Mohane· Dec 20, 2024

    I recommend video-ad-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Xiao Chen· Dec 20, 2024

    We added video-ad-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ama Wang· Dec 16, 2024

    Solid pick for teams standardizing on skills: video-ad-analysis is focused, and the summary matches what you get after install.

  • Yash Thakker· Nov 19, 2024

    Useful defaults in video-ad-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Nov 11, 2024

    Solid pick for teams standardizing on skills: video-ad-analysis is focused, and the summary matches what you get after install.

  • Xiao Wang· Nov 11, 2024

    video-ad-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Henry Reddy· Nov 7, 2024

    I recommend video-ad-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Soo Jackson· Oct 26, 2024

    Keeps context tight: video-ad-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dhruvi Jain· Oct 10, 2024

    Registry listing for video-ad-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chaitanya Patil· Oct 2, 2024

    video-ad-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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