← ClaudeAtlas

humanize-emaillisted

Strip AI writing tells from an email draft and cut it to length while preserving every fact, name, number and link exactly. Use on every draft before QA, and on any email written outside the pipeline — recruiter replies, thank-you notes, interview follow-ups.
Faaz17/Agents-and-Skills · ★ 1 · AI & Automation · score 74
Install: claude install-skill Faaz17/Agents-and-Skills
# /humanize-email, the prose pass Usage: `/humanize-email "<Person Name>/drafts/2026-08-25-space42.md"` Applies the Humanizer method (https://github.com/blader/humanizer), which the user's global instructions require as the final prose pass on anything user-facing. Cold emails are the highest-stakes case: a recipient who thinks an email was machine-written stops reading, and the whole research effort is wasted. ## Steps 1. **Read the draft and count the body words.** 2. **Cut first.** Length reduction removes most tells for free. Over 150 words: delete a whole paragraph, not a bit from each. The paragraph to delete is almost always the one listing a second project or explaining why internships are valuable. 3. **Run the tell sweep.** Full list in `rules/email_format.md`. The high-frequency offenders: - More than one em dash. Replace with full stops - `I hope this email finds you well` · `I am reaching out to` · `I am writing to express my interest` - `passionate about` · `leverage` · `utilize` · `delve` · `robust` · `seamless` · `cutting-edge` · `at the intersection of` - Rule-of-three lists that are not genuinely three things - `It's not just X, it's Y` - Uniform sentence length. This is the subtlest and most reliable tell. Break the rhythm with one short sentence - A tidy summarising sentence before the sign-off. Delete it — the ask should be the last thing - No contractions anywhere. Add two or three 4. **Fix the ask.** One ask, answerable in