autoresearch

Generate and score marketing content variants using a multi-persona rubric.

3.3k|656|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/ericosiu/ai-marketing-skills --skill autoresearch-ericosiu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autoresearch
Source: https://github.com/ericosiu/ai-marketing-skills/tree/main/autoresearch
Command: npx skills add https://github.com/ericosiu/ai-marketing-skills --skill autoresearch-ericosiu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic.

What problem does it solve?

Autoresearch removes guesswork in marketing copy by generating multiple versions, scoring them against a simulated expert panel, and evolving the winners across rounds until you reach a strong conversion-oriented draft.

Core Features & Use Cases

  • Karpathy-style optimization loop: Generate 10+ variants, score with a 5-persona panel, then evolve top performers through multiple rounds.
  • Conversion-focused scoring: Produces a structured score breakdown using dimension-specific rubrics for landing pages, emails, ad copy, and form pages.
  • Cross-breeding for complete units: Combines winners across elements to create holistic versions and selects the best overall option.
  • Experiment logging: Outputs the optimized content plus a full experiments JSON log and a human-readable optimization report.

Quick Start

Run the command to optimize your landing page: python3 autoresearch.py --input landing-page.html --type landing_page --min-score 85

Frequently Asked Questions about autoresearch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize landing page copy without real traffic experiments?▼

To optimize landing page copy without real traffic, you can generate multiple variants, score them with a simulated multi-persona panel, and iteratively evolve the highest performers. This removes guesswork by relying on structured rubrics instead of live A/B testing.

What is AI-driven conversion copy scoring and how does it work?▼

AI-driven conversion copy scoring evaluates marketing content by generating multiple variants and rating them against a 5-persona expert panel using dimension-specific rubrics. Top performers are cross-bred across multiple rounds to produce a highly optimized final draft.

How do I generate and test email sequences before launching a campaign?▼

You can generate and test email sequences by running an iterative optimization loop that creates batched variants, scores them with a multi-persona rubric, and evolves the winners. This allows messaging refinement during pre-launch preparation without needing live traffic.

Do I need an Anthropic API key to run AI copy optimization loops?▼

Yes, you need a valid ANTHROPIC_API_KEY to run these AI copy optimization loops. The Anthropic API dependency is required for batched variant generation and single-call scoring during each optimization round.

Can I use AI to refine ad copy and form pages without A/B testing?▼

Yes, you can refine ad copy and form pages by replacing live A/B testing with a Karpathy-style optimization loop. It generates variants, scores them against a structured rubric, and outputs an optimized artifact along with experiment logs.

What's the best way to iterate on marketing messaging using an AI rubric?▼

The best way to iterate on marketing messaging is to generate 10+ variants, score them with a 5-persona panel, and cross-breed winners across multiple rounds. This produces a holistic, optimized artifact plus a human-readable summary report.