Paid Ads Optimization

by nowork-studio

Paid Ads Optimization is an Automation 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 Optimization

Copy Paid Ads Optimization 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-optimize ~/.claude/skills/paid-ads-optimize

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-optimize/SKILL.md in nowork-studio/notfair-plugin
Installs to: ~/.claude/skills/paid-ads-optimize
Collection: One of 25 skills cataloged from this repository
Category: Automation — 1523 skills

What Paid Ads Optimization does

Paid Ads Optimization diagnoses wasted paid-ad spend, pacing, and allocation, then proposes safe evidence-backed optimizations. Use it to investigate waste, negatives, budgets, bid changes, poor CPA/ROAS, underpacing, overspending, or scaling decisions.

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

Documentation

README

Excerpt

Paid Ads Optimization

Read ../shared/operating-contract.md and ../shared/measurement-framework.md. Review before changing anything.

Diagnose before cutting

Verify the conversion signal, period completeness, spend volume, attribution model, and recent account changes. Spend with no recorded conversion can indicate broken tracking or immature data; treat it as a hypothesis until the signal and volume support an intervention. Check landing-page or operational failures before blaming targeting.

Classify the bottleneck as query/audience quality, creative fatigue, delivery/rank, budget constraint, landing-page mismatch, tracking, or economics. Use the specialized Google, Meta, X, or LinkedIn skill for live diagnosis. For other platforms, analyze only the supplied or verified data.

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

Frequently asked about Paid Ads Optimization

What else does nowork-studio publish alongside Paid Ads Optimization?
Paid Ads Optimization 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 Optimization 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 Optimization compare to other Automation skills?
Paid Ads Optimization ranks #357 by stars among the 1523 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. 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 Optimization against them. Open each page to compare what they document and how they install.