Paid Media Optimization

Paid Media Optimization is an Automation 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 Optimization

Copy Paid Media 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/AgriciDaniel/claude-ads/tree/main/skills/ads-optimize ~/.claude/skills/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/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-optimize/SKILL.md in AgriciDaniel/claude-ads
Installs to: ~/.claude/skills/ads-optimize
Collection: One of 25 skills cataloged from this repository
Category: Automation — 1523 skills

What Paid Media Optimization does

Paid Media Optimization diagnoses and drafts paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters. Use it for campaign optimization, budget reallocation, bid changes, pausing or archiving ads, search-term or negative-keyword actions, creative rotation, or improving CPA and ROAS.

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

Documentation

README

Excerpt

Paid Media Optimization

Default to --draft.

Load the latest normalized snapshot, prior decisions, monitoring results, experiment state, conversion lag, economics, and platform capability manifest.
Identify the decision and causal evidence; do not optimize a metric in isolation.
Compare no-change, experiment, and mutation options, including learning, policy, tracking, inventory, and opportunity-cost effects.
Produce ranked recommendations with confidence and success measures.
Convert approved recommendations into mutation plans only through the main mutation gate.
Apply, verify, audit, and retain rollback only when the exact operation is enabled and remote state still matches the draft precondition.

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

Frequently asked about Paid Media Optimization

What else does AgriciDaniel publish alongside Paid Media Optimization?
Paid Media Optimization 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 Optimization 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 Optimization compare to other Automation skills?
Paid Media Optimization ranks #196 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 Media Optimization against them. Open each page to compare what they document and how they install.