Agent Analytics Autoresearch

Use this skill when the user wants a data-informed growth loop for landing pages, onboarding, pricing, CTAs, signup, checkout, activation, or other experiment candidates.

This skill is based on:

• Autoresearch Growth template: https://github.com/Agent-Analytics/autoresearch-growth
• Agent Analytics: https://agentanalytics.sh
• Regular Agent Analytics skill: https://github.com/Agent-Analytics/skills/tree/main/skills/agent-analytics

Use the regular agent-analytics skill for general setup, tracking installation, ad hoc reporting, and normal experiment operations. Use this skill for structured variant generation and judging from a project brief plus analytics data.

Core Rule

Do not edit production copy, product code, or live experiment setup while running the loop unless the user explicitly asks. Produce reviewable artifacts first.

Default mode is review-only: generate variants, log rounds, and write final_variants.md.

After explicit human approval, continue into the outer experiment loop when requested: implement the approved variant or variants, create the experiment, run it, measure it with Agent Analytics or another analytics source, save the results as the next snapshot, and start the next autoresearch run from evidence.