Paid Media Monitor

Paid Media Monitor is a Data skill for Claude Code, published by AgriciDaniel in claude-ads.

8.1K stars1.2K forkson AgriciDaniel/claude-adsAdded 2026/08/15+1% in starsRepository updated 2026/07/13

agent-skillsaiai-marketingclaude-codeclaude-code-skillgoogle-adsmarketing-automationmeta-adsopen-sourcepaid-advertisingppc

Install in seconds

Install Paid Media Monitor

Copy Paid Media Monitor into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/AgriciDaniel/claude-ads/tree/main/skills/ads-monitor ~/.claude/skills/ads-monitor

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/AgriciDaniel/claude-ads.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/ads-monitor/SKILL.md in AgriciDaniel/claude-ads
Installs to: ~/.claude/skills/ads-monitor
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Paid Media Monitor does

Paid Media Monitor monitors paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms. Use it for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.

Paid Media Monitor is cataloged under Data on DirSkills. Paid Media Monitor comes from a repository tagged agent-skills, ai, ai-marketing, claude-code and claude-code-skill.

Documentation

README

Excerpt

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.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Paid Media Monitor

What else does AgriciDaniel publish alongside Paid Media Monitor?
Paid Media Monitor is one of 25 skills that DirSkills catalogs from AgriciDaniel/claude-ads, the repository it ships in. Its siblings there include Ad Creative Audit, Ad Image Generator and Ads Create. Each one is a separate skill with its own page in this directory, installs the same way Paid Media Monitor does, and is maintained by AgriciDaniel in that same repository. The rest of the collection is listed on the AgriciDaniel/claude-ads page.
How does Paid Media Monitor compare to other Data skills?
Paid Media Monitor ranks #147 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Paid Media Monitor against them. Open each page to compare what they document and how they install.