AI Advertising Targeting Fairness Review
Use this skill when reviewing ad-platform audience targeting configurations and declared AI feature usage for protected-class discrimination risk. Trigger when a user provides a Meta Ads Manager audience definition, Google Ads targeting layer export, DSP deal config, or any ad platform audience spec annotated with AI features enabled (Advantage+ Audience, broad match, automated bidding, lookalike seeds). Use when a campaign is in housing, credit, employment, or insurance verticals, or when automated bidding or AI audience expansion is active on any campaign reaching the US or EU and the user needs to assess Fair Housing Act, ECOA, or EU AI Act Article 5 exposure.
Security AStatic scan found no risk patternsHow grading works ›
What this skill does
AI Advertising Targeting Fairness Review is a community-contributed Claude Code skill in the strategy sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/ai-advertising-targeting-fairness-review/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when a campaign is in housing, credit, employment, or insurance verticals, or when automated bidding or AI audience expansion is active on any campaign reaching the US or EU and the user needs to assess Fair Housing Act, ECOA, or EU AI Act Article 5 exposure.
Who uses this skill
The AI Advertising Targeting Fairness Review Claude Code skill is built for paid media specialists, performance marketers, and advertising teams running paid campaigns. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 146,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/ai-advertising-targeting-fairness-review
curl -L https://claudskills.com/skills/ai-advertising-targeting-fairness-review/SKILL.md \
-o ~/.claude/skills/ai-advertising-targeting-fairness-review/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/ai-advertising-targeting-fairness-review/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/ai-advertising-targeting-fairness-review/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\ai-advertising-targeting-fairness-review\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the AI Advertising Targeting Fairness Review Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/ai-advertising-targeting-fairness-review/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the AI Advertising Targeting Fairness Review skill do?
Use this skill when reviewing ad-platform audience targeting configurations and declared AI feature usage for protected-class discrimination risk. Trigger when a user provides a Meta Ads Manager audience definition, Google Ads targeting layer export, DSP deal config, or any ad platform audience spec annotated with AI features enabled (Advantage+ Audience, broad match, automated bidding, lookalike seeds). Use when a campaign is in housing, credit, employment, or insurance verticals, or when automated bidding or AI audience expansion is active on any campaign reaching the US or EU and the user needs to assess Fair Housing Act, ECOA, or EU AI Act Article 5 exposure.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the AI Advertising Targeting Fairness Review skill?
Use AI Advertising Targeting Fairness Review when your Claude Code task falls under the Advertising category — specifically in the strategy area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use AI Advertising Targeting Fairness Review" or describe the task and let Claude pick). Browse related skills at
/category/ads/.
What is a Claude Code skill and how does the AI Advertising Targeting Fairness Review skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. AI Advertising Targeting Fairness Review is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Advertising category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
Raishin. (2026). AI Advertising Targeting Fairness Review [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/ai-advertising-targeting-fairness-review/
BibTeX
@misc{ai-advertising-targeting-fairness-review-2026,
author = {Raishin},
title = {AI Advertising Targeting Fairness Review [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/ai-advertising-targeting-fairness-review/}
}Embed this skill
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Security scan
Grade A · scanned 2026-07-06 — free static scan against the OWASP Agentic Skills Top 10.
No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ✓ Execution
- ✓ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/ai-advertising-targeting-fairness-review/#security)
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