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ShawhinTShawhinT/non-coding-skills/linkedin-audience/SKILL.md

linkedin-audience

Skill40 starsChanged 13 days agoNo licenceView on GitHub

Weekly ICP sweep of Shaw's LinkedIn audience. Pull everyone who reacted, commented, voted, followed, viewed his profile, newly connected in a window, or sent a pending invite, qualify them against the ABA ICP page in Notion using LinkedIn's own data (current role, company headcount, HQ country, connection degree — no Apollo), and return two tables in chat — Tier 1 people at companies that match the ICP and Tier 2 people at adjacent companies, each row marked DM or Connect — plus which of the week's new connections are worth a DM. Use whenever Shaw asks who in his audience fits the ICP, "run the sweep", "any prospects this week", "who showed up that I should connect with", "who's worth following up with from LinkedIn", "any interesting new connections", "look at my connection requests", or when the LinkedIn sales motion page needs its weekly list. Do NOT use for post performance metrics or reach analysis (linkedin-post-analytics), and do not produce audience lists, cross-channel breakdowns, or dashboards.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — 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.

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