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mkt-autoresearch

Generate and score marketing content variants through iterative expert rounds.

520|175|Updated Apr 8, 2026
Search Tags:#landing pages#conversion copy#marketing optimization#variant generation#autoresearch#simulated expert scoring#email and ads
One-click install
npx skills add https://github.com/evolution-foundation/evo-nexus --skill mkt-autoresearch-evolution-foundation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mkt-autoresearch
Source: https://github.com/evolution-foundation/evo-nexus/tree/main/.claude/skills/mkt-autoresearch
Command: npx skills add https://github.com/evolution-foundation/evo-nexus --skill mkt-autoresearch-evolution-foundation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, and includes references (resource) components.

What problem does it solve?

It helps you improve marketing and conversion content quality without waiting weeks for real A/B test results by running iterative, expert-scored optimization loops.

Core Features & Use Cases

  • Iterative autoresearch loop: generates 50+ variants, scores them, and evolves winners across multiple rounds until a target score is reached.
  • Simulated 5-persona expert panel: evaluates copy on conversion-focused dimensions (e.g., clarity, trust, urgency, would-convert).
  • Content-type coverage: supports landing pages, email sequences, ad copy, and form pages, optimizing both headlines and supporting elements.
  • Decision-ready outputs: produces the best optimized content plus a full experiment log for review and iteration.

Quick Start

Run python3 autoresearch.py with your input file, set the desired content type if needed, and choose a minimum target score to generate the optimized version and a full report.

Frequently Asked Questions about mkt-autoresearch

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

FAQPage Schema
How do I optimize conversion copy for landing pages without running live A/B tests?▼

Conversion copy optimization uses a simulated five-persona expert panel to score generated variants on dimensions like clarity, trust, and urgency. The iterative loop evolves winning variants across rounds until a target score is reached, producing optimized content and a structured experiment log.

Can I generate and score email and ad copy variants before launching a campaign?▼

Yes, the tool generates 50+ email and ad copy variants and scores them with a simulated expert panel. It evaluates configurable elements on conversion-focused dimensions, producing decision-ready optimized content and a structured experiment log for pre-launch campaign review.

What do I need to run iterative autoresearch for marketing optimization?▼

You need source content in a local file and the ANTHROPIC_API_KEY environment variable configured. Running the python script with your input file and a target score initiates the variant generation and simulated expert scoring process.

Does simulated expert scoring work for form pages and supporting elements?▼

Yes, simulated expert scoring supports form pages by optimizing both headlines and supporting elements. The five-persona panel evaluates copy on conversion-focused dimensions, applying the same iterative autoresearch loop used for landing pages.

What is the best way to evaluate marketing content strategy before launch?▼

Pre-launch marketing content strategy evaluation is best done via an iterative autoresearch loop that generates variants and scores them with a simulated expert panel. This produces a structured experiment log and markdown report for decision-ready review.

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