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SKILL verified Apache-2.0 Self-run

Ads Youtube

skill-citedy-adclaw-ads-youtube · by citedy

YouTube Ads specific analysis covering campaign types, creative quality, audience targeting, and measurement. Evaluates video ad performance across skippable, non-skippable, bumper, Shorts, and Demand Gen formats. Use when user says YouTube Ads, video ads, pre-roll, bumper ads, YouTube campaign, or Shorts ads.

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Install

$ agentstack add skill-citedy-adclaw-ads-youtube

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

YouTube Ads Analysis

Process

  1. Collect YouTube Ads data (Google Ads export filtered to Video campaigns)
  2. Read ads-shared/references/google-audit.md for YouTube-relevant checks
  3. Read ads-shared/references/platform-specs.md for video specifications
  4. Read ads-shared/references/benchmarks.md for YouTube benchmarks
  5. Read ads-shared/references/scoring-system.md for health score algorithm
  6. Validate: confirm at least one active video campaign exists before proceeding
  7. Evaluate campaign setup, creative quality, targeting, and measurement
  8. Validate: verify all campaign types identified before generating report
  9. Generate YouTube-specific findings report with health score

Campaign Types Assessment

Skippable In-Stream (TrueView)

  • Length: 12s minimum, 15-30s recommended (can be longer)
  • Bidding: Target CPV or Target CPA
  • Skip rate benchmark: 65-80% is normal
  • View rate: ≥15% is good
  • Evaluate: hook quality in first 5 seconds, CTA card usage

Non-Skippable In-Stream

  • Length: up to 60s (expanded 2025; previously 15s/20s)
  • Bidding: Target CPM
  • Best for: brand awareness, reach campaigns
  • Evaluate: message completeness, frequency capping, optimal length testing

Bumper Ads

  • Length: exactly 6s (non-skippable)
  • Bidding: Target CPM
  • Best for: reach extension, brand reinforcement
  • Evaluate: single-message focus, brand visibility throughout

YouTube Shorts Ads

  • Format: vertical 9:16 (1080x1920)
  • Length: up to 60s
  • Best for: younger demographics, mobile-first
  • Evaluate: native feel (not repurposed horizontal), sound-on optimization

Demand Gen (replaces Discovery)

  • Placements: YouTube Home Feed, Watch Next, Discover, Gmail
  • Formats: image + video carousel, product feeds
  • Evaluate: creative diversity, product feed quality, audience signals

Creative Quality Assessment

Hook Analysis (First 5 Seconds)

  • Does the video capture attention immediately?
  • Brand mention within first 5 seconds (recommended for awareness)
  • Problem/benefit statement upfront (recommended for action campaigns)
  • No slow intros, title cards, or logos-only openings

Production Quality

  • Audio quality: clear, professional, background music appropriate
  • Visual quality: HD minimum (1080p), proper lighting
  • Subtitles/captions: present (85% of Facebook video watched muted, ~30% on YouTube)
  • End screen: CTA, subscribe button, related video cards

Creative Volume

  • ≥3 video variations per campaign (different hooks, lengths, messages)
  • Mix of lengths tested (6s bumper + 15-60s non-skip + 30s skippable)
  • Vertical (9:16) and horizontal (16:9) versions available
  • Refresh cadence: every 4-8 weeks for top-performing campaigns

Audience Targeting

YouTube-Specific Targeting Options

  • Custom Intent: target users searching for specific terms on YouTube/Google
  • In-Market Audiences: users actively researching purchase categories
  • Affinity Audiences: broad interest-based targeting for awareness
  • Customer Match: first-party list upload for retargeting
  • Similar Audiences: expansion from Customer Match seeds (if available)
  • Placement Targeting: specific channels, videos, or topics

Targeting Best Practices

  • Separate campaigns for prospecting vs retargeting
  • Layer audience signals in Demand Gen campaigns
  • Exclude converted users from prospecting campaigns
  • Use frequency capping (3-5 per week for awareness, 1-2 for direct response)

Measurement

Key YouTube Metrics

| Metric | Benchmark | Notes | |--------|-----------|-------| | View Rate (skippable) | ≥15% | Higher = better hook | | CPV (skippable) | $0.01-0.10 | Varies by targeting | | VTR (bumper) | 90%+ | Non-skippable, should be near 100% | | CPM (non-skip) | $6-15 | Varies by market | | CTR (Demand Gen) | ≥0.5% | Image+video combined | | Brand Lift | Measurable | Requires Google Brand Lift Study |

Attribution Considerations

  • YouTube is upper/mid-funnel; don't judge by last-click alone
  • Use data-driven attribution in Google Ads
  • Track view-through conversions (important for video)
  • Consider Brand Lift Studies for awareness campaigns
  • Cross-channel impact: YouTube often assists Search/Shopping conversions

Health Score

YouTube Ads Health Score (0-100)

Weighted assessment from ads-shared/references/scoring-system.md:

Category Weights:
Creative Quality:   30%  ██████████
Campaign Setup:     25%  ████████░░
Audience Targeting: 25%  ████████░░
Measurement:        20%  ██████░░░░

Grade: A (90-100), B (75-89), C (60-74), D (40-59), F (<40)

Output

YouTube Ads Report

YouTube Ads Assessment

Campaign Types:     ████████░░  Active formats evaluated
Creative Quality:   ██████████  Hook, production, volume
Audience Targeting: ███████░░░  Strategy and coverage
Measurement:        █████░░░░░  Attribution and tracking

Deliverables

  • YOUTUBE-ADS-REPORT.md: Campaign-by-campaign analysis
  • Creative quality scorecard per video
  • Audience strategy recommendations
  • Measurement gap analysis
  • Quick Wins for immediate improvement

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

  • Author: citedy
  • Source: citedy/adclaw
  • License: Apache-2.0
  • Homepage: https://pypi.org/project/adclaw/

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.