# 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.

- Skill: `lazyisefficient/growth-engine` (Agent Skill, multi-file: 9 files)
- Install (CLI): `npx skillmds@latest add lazyisefficient/growth-engine`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lazyisefficient/growth-engine/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: LazyIsEfficient (https://skillmd.com/u/lazyisefficient)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lazyisefficient/growth-engine

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# 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

- [references/commands.md](references/commands.md) — full CLI reference for all commands with recommended workflow
- [references/configuration.md](references/configuration.md) — required and optional environment variables, pacing alert vars, dependencies