What you get
Who to write to this week. And why now
Get it
Paste one prompt. It never sends or changes anything
Load the Signal List Routine scenario from https://github.com/demandsense-labs/linkedin-ads-skills/tree/main/signal-list-routine and run it on the exports I’ve attached. Load the Signal List Routine scenario from https://github.com/demandsense-labs/linkedin-ads-skills/tree/main/signal-list-routine and run it on my DemandSense workspace. Pull the data through the connector rather than asking me for exports. Rather not paste it? Install it instead
Add it to Claude Code once and call it by name on any export
/plugin install linkedin-ads-skills --marketplace demandsense-labs/linkedin-ads-skills Read the source on GitHub Skill folder on GitHub
How it runs
5 steps, in order. Each one applies a rule of the Standard, and stops the run when the data can’t carry it
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Sort the list
Monthly: A (two or more fresh dated signals), B (one signal), C (fit only). Hold out about 100 B companies with no ads all quarter.
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Strike placeholders
Monday: clicks from fake employer pages like “Stealth AI Startup” come out before anything is read.
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Check the dose
Monday: is each list still reaching new people, at about 5 views a person a month on warm lists?
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Route warm accounts
Monday: companies engaging far above the ads become cards to approve, up to five, with the public signal as the reason to write, plus a CRM hand-off file.
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Read the holdout
Quarter end: which signals sat on won deals, served against holdout as two counts, never a percentage.
The rules it applies
4 rules of the Standard. Each step above leans on one of them. Open a rule to see what it checks and why
- Rule 02Reach and frequency Set separate frequency targets for cold and warm audiences Cold audiences run low and wide. Warm audiences need repetition. 1 scenario1 skill
- Rule 12From signal to sales Report exposure, influence and attribution separately Exposed, influenced and attributed are three different claims. 3 scenarios
- Rule 13From signal to sales Give sales a weekly ranked list of warm accounts, checked against the CRM Hot accounts, ranked, with who engaged and where they sit in the CRM. Never a raw visitor feed. 4 scenarios
- Rule 14Who the budget reaches Grow a signal list by adding signal lists from the same market LinkedIn's audience size guidance fits audiences built from filters. A list built from buying signals starts smaller and grows a different way. 1 scenario
