Ads monitor
Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms. Use for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.From its SKILL.md
npx -y skills add AgriciDaniel/claude-ads --skill ads-monitorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.1 KB, 165 tokens by cl100k_base, as published. Nobody here has run it
Paid Media Monitoring
- Load two or more normalized snapshots with compatible account, timezone, currency, metric, and attribution definitions.
- Validate data freshness and finalization windows before comparing periods.
- Separate expected learning, seasonality, reporting latency, and planned changes from unexplained anomalies.
- Evaluate pacing, delivery, conversion quality, unit economics, creative fatigue, tracking health, policy status, and changed account objects.
- Return observations, confidence, likely causes, required investigation, and decision thresholds. Do not mutate the account.
- Persist a versioned monitoring bundle and link detected failures to regression or follow-up tasks.
Do not alert on percentage changes with trivial denominators or incomparable windows. State when evidence cannot distinguish noise from a material change.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most marketing audience skills give in 165 tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingsin 41 of 690, across 6 files
- Apply Lora font to body textin 41 of 690, across 6 files
- Use Arial fallback for headingsin 39 of 690, across 4 files
- Use Georgia fallback for body textin 39 of 690, across 4 files
- Maintain text hierarchy and formattingin 39 of 690, across 4 files
- Use accent colors for non-text shapesin 38 of 690, across 3 files
- Use RGB values for precise color matchingin 38 of 690, across 3 files
- Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- load normalized snapshots
- separate expected changes from unexplained anomalies
- evaluate campaign delivery and health metrics
- return observations and confidence levels
- persist a versioned monitoring bundle
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.