frequency-cap-recommendations
Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Tells you the point where additional impressions stop driving conversions and start burning money. Platform: Meta.
Install / Use
npx skills add irinabuht12-oss/marketing-skills --skill frequency-cap-recommendationsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
MarketingSupported Platforms
Tags
Our assessment of frequency-cap-recommendations
frequency-cap-recommendations scores 80/100 on our quality scale, 316th of 406 Marketing skills we index.
Its SKILL.md is 2.6 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.
With 1,836 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so frequency-cap-recommendations is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-30. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
frequency-cap-recommendations compared with similar skills
All 4 of these similar skills score higher than frequency-cap-recommendations; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| frequency-cap-recommendations (this skill)by irinabuht12-oss | 80 | 1.8k | 6d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 8d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 8d ago | SKILL.md |
Frequently asked questions
- How do I install frequency-cap-recommendations?
- Run
npx skills add irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations. The install tabs above show the steps for each supported agent. - Which AI agents does frequency-cap-recommendations work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is frequency-cap-recommendations safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is frequency-cap-recommendations still maintained?
- The repository was last updated 6 days ago, so frequency-cap-recommendations is actively maintained.
Skill content
View source on GitHubname: frequency-cap-recommendations description: Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Tells you the point where additional impressions stop driving conversions and start burning money. Platform: Meta. metadata: platform: Meta
18/ Frequency Cap Recommendations — Meta
What it does
Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Tells you the point where additional impressions stop driving conversions and start burning money.
How it works
Claude correlates frequency levels with conversion rates, CTR, and CPA across your campaigns. It finds the inflection point for each campaign type — the frequency at which performance starts declining — and recommends caps that maximize reach and conversions while cutting waste from overexposure.
Practical example
Your Meta prospecting campaigns show that conversion rate peaks at frequency 2.3 and drops 40% by frequency 4. But your current average frequency is 5.1, meaning a significant portion of impressions are hitting people who've already seen the ad too many times. Claude recommends a frequency cap of 3 per 7 days for prospecting. For retargeting, the data shows conversions continue up to frequency 6 before dropping — so a cap of 5 per 7 days is appropriate. Estimated savings from capping: $3,400/month redirected to fresh reach.
What you get back
- Current frequency distribution across all campaigns
- Optimal frequency by campaign type based on your actual conversion data
- Recommended caps with projected spend savings
- Estimated additional reach you'd gain by redirecting overexposure spend to new users
- Frequency-to-conversion curve showing exactly where diminishing returns kick in
When to use it
- When CPMs rise and you suspect audience saturation
- Monthly frequency audits across all Meta campaigns
- When scaling spend and frequency climbs as budgets increase
- After creative refreshes to reset frequency baselines and set new caps
Data access (Ryze MCP)
This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:
- claude.ai / Claude Desktop: Settings → Connectors → Add custom connector →
https://connector.get-ryze.ai/mcp - Claude Code:
claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp - Cursor: Settings → MCP → add the same URL
Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
