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Tencent SkillHub ยท Data Analysis

Ads Analyzer

Analyze extracted Meta ad creatives and generate a professional strategy report. Use after /meta_ads_extractor to produce a clean, organized analysis documen...

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High Signal

Analyze extracted Meta ad creatives and generate a professional strategy report. Use after /meta_ads_extractor to produce a clean, organized analysis documen...

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, templates/report-template.html

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

Meta Ads Analyser

Generate a professional ad strategy analysis report from extracted Meta ad creatives.

Prerequisites

Extracted ad assets from /meta_ads_extractor (images, videos, landing page screenshots) Ad creative analysis (hooks, scripts, emotions, CTAs, strengths/weaknesses) Landing page analysis (headlines, strategies, conversion flows)

Input

Assets folder from extraction, typically at: ~/clawd/output/meta-ads/{advertiser-slug}/ โ”œโ”€โ”€ {slug}-video-01.mp4 โ”œโ”€โ”€ {slug}-video-02.mp4 โ”œโ”€โ”€ {slug}-image-01.jpg โ”œโ”€โ”€ {slug}-image-02.jpg โ”œโ”€โ”€ landing-{page-name}.jpg โ””โ”€โ”€ ...

1. Analyze Each Creative

For each ad creative, identify: Aspect Ratio โ€” Dimensions and ratio (1:1, 4:5, 9:16, 16:9) Duration โ€” For videos, length in seconds Hook โ€” Opening line/visual that stops the scroll Script/Copy โ€” Key messaging and value proposition Visual Flow โ€” Sequence of scenes/elements (for video) Emotion โ€” Primary emotional trigger (curiosity, fear, aspiration, etc.) CTA โ€” Call to action and friction level Strengths โ€” What works well Weaknesses/Gaps โ€” What could be improved Use vision model for images, Gemini for video analysis. Get dimensions with: # Images (macOS) sips -g pixelWidth -g pixelHeight image.jpg # Videos ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=p=0 video.mp4 Common aspect ratios: RatioUse Case1:1Feed (universal)4:5Feed (recommended)9:16Stories/Reels16:9Landscape video

2. Analyze Landing Pages

For each landing page, identify: Headline โ€” Primary value proposition Strategy โ€” Key conversion elements (social proof, urgency, etc.) Conversion Flow โ€” Path from landing to purchase/signup Strengths โ€” What converts well Gaps โ€” Missing elements or friction points

3. Map Funnels

Group ads by their destination landing page. Each funnel = landing page + all ads driving to it. Typical funnel types: TOFU (Top of Funnel) โ€” Awareness, lead magnets, quizzes, free content BOFU (Bottom of Funnel) โ€” Direct offer, application, purchase

4. Identify Strategy Patterns

Look for: Credibility stacking (logos, credentials, social proof) Price anchoring Native creative (ads that don't look like ads) Identity-driven copy Testing patterns (variants of same creative)

Output Format

Generate a self-contained HTML report using the template structure below.

Report Structure

1. Header - Advertiser name - Stats (# ads, # funnels, date) 2. Strategy Overview (TOP) - High-level acquisition strategy - Funnel flow visualization - Creative testing patterns - Key takeaways (actionable insights) 3. Funnel Sections (one per landing page) - Funnel header (name, URL) - Landing page card (screenshot + analysis) - Ad cards grid (media + analysis for each) 4. Footer - Source attribution - Date generated

Styling Guidelines

Clean, doc-like design โ€” white background, simple typography No dark gradients or heavy styling โ€” should feel like a PDF/Notion doc Inline media โ€” videos and images embedded and playable Mobile-friendly โ€” responsive grid for ad cards Badges for quick scanning โ€” TOFU/BOFU, Video/Image, Variant, Top performer, Aspect ratio (1:1, 4:5, 9:16)

Ad Card Format

Each ad card should display: [Media: video/image] [Badges: Type | Funnel Stage | Aspect Ratio | Duration (if video)] [Title] [Analysis fields: Hook, Script, Emotion, Strengths, Gaps] Include aspect ratio badge on every ad card so patterns are visible at a glance (e.g., "all TOFU ads are 4:5, BOFU ads are 1:1"). See templates/report-template.html for the full HTML/CSS template.

Delivery

Generate HTML file in the assets folder: ~/clawd/output/meta-ads/{advertiser-slug}/{slug}-analysis.html Zip the entire folder (HTML + all media assets) Send via Telegram with caption explaining contents Important: The HTML uses relative paths to media files. Always deliver as a zip so the recipient can open it locally with all assets.

Example Workflow

User: Analyze the EricPartaker ads we extracted 1. Read assets folder: ~/clawd/output/meta-ads/ericpartaker/ 2. Analyze each video with Gemini / image with vision 3. Analyze landing page screenshots 4. Map ads to landing pages (identify 3 funnels) 5. Identify strategy patterns 6. Generate HTML report 7. Zip folder 8. Send to user

Integration

This skill is designed to follow /meta_ads_extractor: /meta_ads_extractor โ†’ downloads assets /meta_ads_analyser โ†’ generates strategy report Can also integrate with: ad-creative-analysis โ€” detailed individual ad breakdowns landing-page-analysis โ€” deeper landing page audits

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Files
  • SKILL.md Primary doc
  • templates/report-template.html Files