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linkedin-dm-signal-classifier

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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.

skills/ariel-cohen/linkedin-dm-signal-classifier/SKILL.md

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Last checked
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237
Repository last updated
Oct 20, 2026
License
MIT

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## Template placeholders

Replace every `{{...}}` before enabling. See the setup checklist reference for the full setup list.

- `{{TRIGGER_OWNER}}` — Team member whose LinkedIn DMs are scanned (one skill instance per person)
- `{{CRM}}` — Your CRM (e.g. HubSpot, Attio)
- `{{SIGNALS_CHANNEL}}` — Slack channel for all DM signal posts + daily digest
- `{{EXPANSION_CHANNEL}}` — Slack channel for expansion/churn-risk cross-posts (optional)
- `{{MQL_CHANNEL}}` — Slack channel where your lead-scoring alerts post qualified accounts
- `{{PARTNERSHIPS_OWNER}}` — Person to flag partner/agency signals to
- `{{FUNDRAISING_OWNER}}` — Person to flag investor inquiries to (usually a founder)
- `{{LEAD_SCORING_SKILL}}` — Sub-skill reference: your lead scoring & qualification methodology
- `{{OUTREACH_SKILL}}` — Sub-skill reference: your outreach/sequence-building methodology
- `{{HIGH_ACV_THRESHOLD}}` — Company profile that suggests medium-to-high ACV (default: >30 employees, funded, or VP+/C-suite/Founder contact)
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