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growth-engine

Autonomous growth experimentation framework: creates experiments with hypotheses, logs data points, runs statistical analysis (bootstrap CI + Mann-Whitney U), auto-promotes winners to a living playbook, and suggests next experiments. Use when asked to run growth experiments, analyze A/B tests, build experiment scorecards, or generate pacing alerts. For SEO-specific experiments see seo-ops; for outbound experiments see outbound-engine.

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See how to install

Files included (9)

  • SKILL.md2.5 KB
  • .env.example3.0 KB
  • README.md10.6 KB
  • references/commands.md1.9 KB
  • references/configuration.md1.5 KB
  • requirements.txt28 B
  • scripts/autogrowth-weekly-scorecard.py12.9 KB
  • scripts/experiment-engine.py21.5 KB
  • scripts/pacing-alert.py13.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Growth Engine

Autonomous growth experimentation framework based on Karpathy's autoresearch pattern applied to marketing. Creates experiments with hypotheses, logs data points, runs statistical analysis (bootstrap CI + Mann-Whitney U), auto-promotes winners to a living playbook, and suggests next experiments. Supports batch mode (up to 10 variants simultaneously).

Core Rules

  1. Always check the playbook before creating new content — apply proven best practices first.
  2. Winner threshold: p < 0.05 AND ≥ 15% lift. Winners auto-promote to the playbook.
  3. Use batch mode (--batch-mode) for 3-10 variant tests.
  4. Run scripts/pacing-alert.py to monitor campaign health; exit code 1 = alerts present.
  5. Do not run this engine for one-off content creation — apply playbook output directly instead.

References

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