LinkedIn Ads Claude Skills — Data skill for Claude Code
12 Claude Skills for LinkedIn Ads: wasted spend, demographics leaks, CPL-vs-CRM reconciliation, fatigue, bidding, reporting.
How to install LinkedIn Ads Claude Skills
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open mardab96/linkedin-ads-claude-skills and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What LinkedIn Ads Claude Skills does
12 Claude Skills for LinkedIn Ads: wasted spend, demographics leaks, CPL-vs-CRM reconciliation, fatigue, bidding, reporting. Data-first, MIT.
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README
12 Claude Skills for LinkedIn Ads
A pack of 12 production-ready Claude Skills for running rigorous LinkedIn Ads work: account triage, wasted spend, audience targeting, the demographics leak that only LinkedIn exposes, frequency and creative fatigue, conversion tracking, the CPL-versus-CRM reconciliation that separates cheap leads from real pipeline, bid and budget sanity, native Lead Gen Form optimisation, scaling, and recurring reporting.
Each skill is a self-contained `SKILL.md` with explicit triggers, required inputs, an analysis workflow, decision rules, a practical example, output format, and guardrails. Drop them into Claude and they activate automatically when their use case matches the conversation. Every skill is data-first and human-in-the-loop: it reads the exports you give it, tells you when data is missing, stops at an approval-ready recommendation, and never touches your ad account.
Full guide: [12 Claude Skills for LinkedIn Ads](https://adlume.co/blog/linkedin-ads-claude-skills/) explains the workflow behind this pack.
Why LinkedIn Ads needs its own pack
LinkedIn is not just expensive search with a different logo. Three things make it its own discipline, and this pack is built around them:
- The demographics layer. LinkedIn shows you delivery by job title, seniority, function, company industry, and company size. No other ad platform exposes budget waste at that granularity, and almost nobody audits it.
- The lead-quality gap. LinkedIn reports a cheap cost per lead. Sales bins most of those leads. The reported number and the pipeline number disagree more here than on any other channel, so reconciliation against the CRM is core, not optional. The pack covers the whole measurement chain, not just the browser Insight Tag: it audits the server-side layer too (the LinkedIn Conversions API and offline conversion import), and it closes the loop by feeding qualified CRM stages (SQL, opportunity, closed-won with valu
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