Growth engine
Skill LazyIsEfficient/agentic-os/.claude/skills/growth-engine
Agentic Framework for Modern Development
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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.md
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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
- Always check the playbook before creating new content — apply proven best practices first.
- Winner threshold: p < 0.05 AND ≥ 15% lift. Winners auto-promote to the playbook.
- Use batch mode (
--batch-mode) for 3-10 variant tests. - Run
scripts/pacing-alert.pyto monitor campaign health; exit code 1 = alerts present. - Do not run this engine for one-off content creation — apply playbook output directly instead.
References
- references/commands.md — full CLI reference for all commands with recommended workflow
- references/configuration.md — required and optional environment variables, pacing alert vars, dependencies