Systems Lab

Agent skill

email-humanizer-pass

Rewrite cold email drafts to remove AI tells while keeping the offer clear.

activeSelf-containedInstructions only209 words

Filed under Outbound email.

From rasulshaikh/outbound-skill-pack · 7 skill entries · 0 · pushed 2026-09-29

What it does when it runs

Rewrite cold email drafts to remove AI tells while keeping the offer clear. Use after purple-safety-check and before sequencer-export-qa.

Automated analysis of the skill and the 0 files bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.

Keys and connectors you must supply
None found.
Hosts it reaches
No third-party host appears in the skill or its bundled files.
Tool permissions it declares
No allowed-tools in the frontmatter. It only issues instructions, so there is nothing to bound.
Actions present in the files
None. Instructions only.

Ask about email-humanizer-pass

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Install it

View source on GitHub ↗
git clone --depth 1 --filter=blob:none --sparse https://github.com/rasulshaikh/outbound-skill-pack.git /tmp/outbound-skill-pack
git -C /tmp/outbound-skill-pack sparse-checkout set "skills/email-humanizer-pass"
mkdir -p ~/.claude/skills/email-humanizer-pass
cp -R "/tmp/outbound-skill-pack/skills/email-humanizer-pass/." ~/.claude/skills/email-humanizer-pass/

Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗

The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.

The skill

Source on GitHub ↗

Reproduced in full from rasulshaikh/outbound-skill-pack/blob/9516d4bfa03b15648816760032ec8035370ca9f4/skills/email-humanizer-pass/SKILL.md, which is licensed MIT (repository). 209 words, 9 headings.

Email Humanizer Pass

Make first-touch copy sound like a careful human, not a template farm.

When to use

  • You have 1 to 3 draft variants
  • Copy passed purple-safety (or flags are accepted)
  • Subjects and bodies still feel stiff or generic

Process

  1. Paste the draft. Keep the offer and CTA intent fixed.
  2. Cut opener cliches ("I hope this finds you well", "quick question", fake personalization that could apply to anyone).
  3. Replace abstract verbs with concrete ones tied to the ranked signal.
  4. Shorten: aim for 50 to 90 words for email 1 unless the channel needs longer.
  5. Vary sentence length. Prefer one specific detail over three vague compliments.
  6. Run a tell scan: "delve", "landscape", "leverage", "robust", "game-changer", stacked emojis, markdown bold in plain email.
  7. Produce three labeled variants: direct, curious, proof-light (proof only if real).

Output format

## Humanizer notes
- Removed: ...
- Kept: ...

## Variant A (direct)
Subject: ...
Body: ...

## Variant B (curious)
...

## Variant C (proof-light)
...

Guardrails

  • Do not invent case studies or metrics to sound human.
  • Do not add "Re:" or "Fwd:" tricks.
  • Keep the CTA a low-friction yes/no or single question.

Other skills for the same job

Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.

Need help setting it up?

This page tells you what email-humanizer-pass does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

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