Agent skill · Testing & QA

subject-line-lab

Use when the user asks to "generate subject line variants", "pre-score my subject lines", or "will this subject get truncated / trigger spam filters"; produces a labeled subject + preheader variant set and a per-variant heuristic pre-score card — spam-trigger flags, length/truncation across desktop + mobile, emoji-count, and the inbox preview render (from-name + subject + preheader) — before any test is run. Not for the body copy or CTA — use email-creative-builder; not for the A/B test design or significance read — use send-experiment-designer; not for the profile-weighted EQS or the S1/S2/N1

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill subject-line-lab --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: email/engage/subject-line-lab/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Subject Line Lab Generates a labeled subject-line + preheader variant set and **heuristically pre-scores** each variant — spam-trigger flags, desktop + mobile length/truncation, emoji count, and the rendered inbox preview (from-name + subject + preheader) — so weak candidates are cut *before* they burn a test cell. This is the pre-test bench for the SEND **E (Engagement)** lever: it sharpens the subject/preheader unit that `email-creative-builder` drafts and hands the ranked survivors, each with a stable variant id, to `send-experiment-designer`. **Scope guard**: this skill drafts and pre-scores subject + preheader variants only. It does not write the body copy or CTA ([email-creative-builder](../email-creative-builder/SKILL.md)), design the A/B / send-time test or read out significance ([send-experiment-designer](../../deliver/send-experiment-designer/SKILL.md)), run the full deliverability spam-content scan ([deliverability-qa](../../setup/deliverability-qa/SKILL.md)), or compute any SEND dimension score. The heuristic pre-score is a **flag, never a verdict**: [email-quality-auditor](../../deliver/email-quality-auditor/SKILL.md) owns the profile-weighted EQS and all four vetoes

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Data Sources
  5. Instructions
  6. Decision Gates
  7. Save Results
  8. Reference Materials
  9. Next Best Skill
Ships with 1 file
  • references/spam-trigger-checklist.md
More from aaron-marketing-skills
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About this skill
What does the subject-line-lab skill do?

Use when the user asks to "generate subject line variants", "pre-score my subject lines", or "will this subject get truncated / trigger spam filters"; produces a labeled subject + preheader variant set and a per-variant heuristic pre-score card — spam-trigger flags, length/truncation across desktop + mobile, emoji-count, and the inbox preview render (from-name + subject + preheader) — before any test is run. Not for the body copy or CTA — use email-creative-builder; not for the A/B test design or significance read — use send-experiment-designer; not for the profile-weighted EQS or the S1/S2/N1

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill subject-line-lab --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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