Use this skill when the user wants to submit, contribute, or publish a GTM skill to the GTM Skills library (github.com/swan-gtm/gtm-skills, gtmskills.com), or update one of their existing skills or their creator profile there.
Use this skill when [the concrete trigger — a signal fires, a moment in the deal, a recurring cadence]. Produces [the concrete output]. [One or two more sentences dense with the phrases someone would actually say when they need this.]
Use this skill when a deal closes won and you want to turn the win into pipeline immediately. It extracts the win profile, finds lookalike companies not yet in your CRM, researches the right persona contact at each, drafts outreach from the deal owner using an anonymized win reference, and queues a single batch review task — nothing sends without human approval.
Use this skill when scoring a paying customer (closed-won account) for expansion. It evaluates product usage depth, persona quality, and expansion headroom to produce an expansion tier with short actionable reasoning. Designed as a sub-skill of your lead-scoring methodology — the parent runs the ACV assessment first and this returns a tier to it.
Use this skill when a profile-view webhook (e.g. LeadShark) fires for a new view on a team member's LinkedIn profile. It resolves the viewer's identity and company, applies dedup, internal, relationship, and ICP gates, and routes qualified viewers into the MQL pipeline — treating a profile view exactly like a website visit. The CRM is never polluted: only fully resolved, ICP-matched viewers reach a CRM write.
Use this skill when a tracked influencer publishes a LinkedIn post focused on your product (sponsored, review, or organic mention) and you want to capture the engagers as leads. It verifies the post is genuinely about you, scrapes the full engager list, filters to ICP-fit companies and buyer personas, runs lead scoring, and posts per-lead alerts plus a reconciled digest. Detection and scoring only — no outreach.
Use this skill to scan a team member's LinkedIn DMs daily and turn conversations into routed signals. It classifies each chat into a bucket (customer support, commercial, pipeline, re-engagement, prospect, partner, VC, community, and more), updates account memory and the CRM, scores qualified signals and routes them to your MQL channel, and closes every scored signal with a suggested next move — a drafted reply for the thread owner or an approval-queued sequence for the rest of the buying committee. It never auto-sends outreach.
Use this skill when monitoring comments and reactions on a team member's LinkedIn posts. It filters engagers to ICP companies and buyer personas, logs the signal to CRM and account memory, runs lead scoring, and routes high-value engagers to connection requests and Slack alerts. Repeat engagers escalate to high intent with a personalized multi-channel draft queued for review.