Draft QA — Message Quality Scoring (MQS)

Community

Ensure message quality before sending.

Authorbostonrobbie
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automatically scores email drafts against a detailed rubric, catching mechanical errors and evaluating subjective quality to ensure messages are professional, personalized, and effective before they are sent to prospects.

Core Features & Use Cases

  • Automated Scoring: Evaluates drafts based on a 12-point (T1) or 9-point (T2) rubric.
  • Mechanical Checks: Verifies word count, question marks, subject line format, named customers, brand mentions, and placeholder text.
  • AI Judgment Checks: Assesses intro relevance, challenge hook specificity, Call-to-Action (CTA) effectiveness, proof point rotation, and conversational tone.
  • Hard Fail Detection: Identifies critical errors that require immediate rejection.
  • Use Case: Before sending a T1 outreach email, run this skill to ensure it meets the minimum quality score of 9/12, preventing common mistakes like incorrect word count or generic openings.

Quick Start

Run the QA check on the provided email draft.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Draft QA — Message Quality Scoring (MQS)
Download link: https://github.com/bostonrobbie/BDR/archive/main.zip#draft-qa-message-quality-scoring-mqs

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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