opener-batch-audit

Community

Audit opener stats to find what to test next.

Authorantonyfmunoz
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It helps Outreach teams stop guessing by evaluating which DM openers are actually generating replies and which ones are underperforming.

Core Features & Use Cases

  • Weekly opener performance review: Runs when DM volume is high enough to trust the signal (weekly when >30 DMs/week).
  • Statistical retirement of low performers: Flags openers for retirement after they reach 50 sends with low reply rates.
  • Pattern-driven iteration: Identifies dominant patterns across top performers (question vs statement, specificity, reference type, and length) to generate the next opener to test.
  • Testing queue updates: Updates the Outreach Agent so subsequent sends reflect the newly learned winning patterns.

Quick Start

Ask the AI to run the opener-batch-audit and review opener_stats.json to retire losing openers and propose the next opener iteration based on reply-rate patterns.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: opener-batch-audit
Download link: https://github.com/antonyfmunoz/OS/archive/main.zip#opener-batch-audit

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