What problem does it solve? Cold outreach copy often sounds generic or machine-written, and hiring copywriters or hand-writing every email does not scale across a full acquisition pipeline. This Skill learns your own writing style from past emails you have actually sent, then produces per-company outreach that reads like you wrote it. ## Core Features & Use Cases - Voice profile derivation: Upload 3-10 of your own past outreach emails and the Skill extracts a reusable, editable markdown profile covering structure, tone, length, and signature habits. - Per-company copy generation: Produces the four fields the pipeline expects — Email 1 subject and HTML body, a LinkedIn connection note under 300 characters, and a custom sign-off — each hardcoded with the contact's real name and company facts. - Machine-tell cleanup and validation: Runs a humanizer pass to remove AI-sounding phrasing, then enforces structural checks (no unexpanded merge tags, character limits, length ranges) before handing results back to the pipeline. - Use Case: A search-fund operator screening 50 niche companies runs this Skill to get 50 distinct, on-voice first-touch emails and LinkedIn notes written to phase-5-personalize.xlsx, ready for the Reply.io sequence build. ## Quick Start Ask Claude Code to set up your voice by uploading a few of your past outreach emails, then generate outreach copy for the current batch of screened companies.
