Plan and review LinkedIn Ads with B2B targeting, lead-quality, and budget guardrails. Use for LinkedIn advertising, sponsored content, lead-generation forms, job-title or company targeting, or LinkedIn campaign performance.
npx skills add https://github.com/nowork-studio/notfair-plugin --skill paid-ads-linkedin
Read ../shared/operating-contract.md and ../shared/measurement-framework.md. This plugin does not declare a first-party NotFair LinkedIn MCP mutation surface; work from a verified connector or supplied export and produce an operator-ready brief.
Define the sales-qualified conversion and feedback loop before optimizing for a form fill. Create a targeting hypothesis from job function, seniority, company, industry, and account list only when the user provides a defensible audience rationale. Avoid overly narrow targeting that cannot learn; document exclusions and expected audience constraints rather than guessing platform reach.
For each proposal, include campaign objective, campaign-group/naming convention if supplied by the operator, audience logic, lead-form versus landing-page decision, daily and monthly budget, creative concept, destination or follow-up owner, and a quality metric beyond CTR. Higher CPMs and lower conversion volume make a single well-specified test more useful than many thin ad groups.
Read reported spend, impressions, link CTR, leads, qualified leads, CPA, and CRM outcome by a complete period. Keep lead quantity separate from lead quality. Mark all changes ready_for_review until an authorized operator confirms them in LinkedIn Campaign Manager or a verified connector reads them back.
Take nowork-studio/paid-ads-linkedin from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.