Paid Ads Review

by nowork-studio

Paid Ads Review is a Data skill for Claude Code, published by nowork-studio in notfair-plugin.

3.4K stars420 forkson nowork-studio/notfair-pluginAdded 2026/08/17+1% in starsRepository updated 2026/08/14

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agentsclaude-code-pluginclaude-skillsgeogoogleadsgoogleadsmcpmcpmetaadsseo

Install in seconds

Install Paid Ads Review

Copy Paid Ads Review 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/nowork-studio/notfair-plugin/tree/main/paid-ads/paid-ads-review ~/.claude/skills/paid-ads-review

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/nowork-studio/notfair-plugin.git

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

In this catalog

Source file: paid-ads/paid-ads-review/SKILL.md in nowork-studio/notfair-plugin
Installs to: ~/.claude/skills/paid-ads-review
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Paid Ads Review does

Paid Ads Review produces a read-only, evidence-based paid-media performance review across connected platforms or supplied exports. Use it for weekly or monthly reports, scorecards, CPA, ROAS, CTR, spend trends, pacing, or conversion-tracking health.

Paid Ads Review is cataloged under Data on DirSkills. Paid Ads Review comes from a repository tagged agents, claude-code-plugin, claude-skills, geo and googleads.

Documentation

README

Excerpt

Paid Ads Review

Read ../shared/operating-contract.md and ../shared/measurement-framework.md. This is read-only.

Assemble comparable evidence

Check which sources are actually connected, request the missing export rather than reporting a failed call, and use the most recent complete equivalent window. For every source, keep currency, conversion definition, attribution window, and reporting lag visible. Verify tracking before treating CPA, ROAS, or revenue as a decision-grade metric.

For live platform accounts, hand data collection and diagnostics to /notfair:google-ads, /notfair:meta-ads, /notfair:paid-ads-x, or /notfair:paid-ads-linkedin. Keep TikTok, Amazon, and ChatGPT Ads review grounded in a verified connector or supplied platform export.

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

Frequently asked about Paid Ads Review

What else does nowork-studio publish alongside Paid Ads Review?
Paid Ads Review is one of 25 skills that DirSkills catalogs from nowork-studio/notfair-plugin, the repository it ships in. Its siblings there include Amazon Ads Planning, Gemini and Google Ads. Each one is a separate skill with its own page in this directory, installs the same way Paid Ads Review does, and is maintained by nowork-studio in that same repository. The rest of the collection is listed on the nowork-studio/notfair-plugin page.
How does Paid Ads Review compare to other Data skills?
Paid Ads Review ranks #214 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 Ads Review against them. Open each page to compare what they document and how they install.