linkedin-creative-fatigue-report
Skill9 starsChanged 9 days agoCC-BY-4.0View on GitHub
Use when the user wants to know which LinkedIn ads are wearing out, in which ad set, how fast, and whether to pause them. It judges each ad on the number that matches its campaign objective, compares an ad only with its own history, calls a decline only after two weeks in a row, shows the same post side by side across ad sets, and lets the ad set's 30-day frequency decide between "pause or refresh" and "look closer". Examples: "which ads are fatigued", "creative fatigue report", "is this ad worn out", "should I pause this ad", "which posts are declining in one ad set but fine in another", "does my creative need replacing". Works from the Campaign Manager Ad Performance export with a daily breakdown and the Campaign Performance export for frequency. It gives recommendations only and changes nothing.
In this repository37 other files it gives its agents.
- account-audit-by-cadenceSkill
- account-engagementSkill
- account-health-checkSkill
- ad-hoc-querySkill
- audience-fit-checkSkill
- benchmark-comparisonSkill
- budget-re-allocationSkill
- campaign-group-scoreboardSkill
- capping-recommendationSkill
- company-account-routingSkill
- conversion-ad-weekly-checkSkill
- cost-per-retargetable-memberSkill
- creative-decay-watchlistSkill
- crm-data-health-checkSkill
- landing-page-cpc-reportSkill
- linkedin-abm-account-penetrationSkill
- linkedin-audience-demographicsSkill
- linkedin-benchmark-contextSkill
- linkedin-campaign-early-readSkill
- linkedin-creative-performanceSkill
- linkedin-performance-kpisSkill
- manager-monthly-reportSkill
- market-benchmark-comparisonSkill
- monthly-targeting-reviewSkill
- multichannel-performance-rollupSkill
- no-deal-warm-leads-finderSkill
- pacing-check-against-scheduleSkill
- pausing-low-performing-adsSkill
- signal-list-routineSkill
- silent-watchers-finderSkill
- social-signals-to-pipelineSkill
- traffic-analysisSkill
- video-quality-checkSkill
- warm-lead-handoffSkill
- waste-budget-detectionSkill
- weekly-reportingSkill
- whos-looking-at-your-buying-pagesSkill
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 10 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.