meta-experiment
OfficialSafely test changes with statistical experiments.
Data & Analytics#rollback#statistics#data-analysis#experiment#experimental-design#AB testing#auto-promotion
Authorpsd401
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a rigorous, repeatable framework to design, run, and interpret controlled experiments that validate software changes before deploying them broadly.
Core Features & Use Cases
- Experiment lifecycle: design, deploy, run, analyze, and decide with auto-promotion or rollback based on statistical results.
- Safety and rigor: enforces minimum sample size, significance thresholds, and rollback when regression is detected.
- Operational integration: tracks metrics across experiments, stores results, and supports both manual and automated workflows.
Quick Start
To design a new experiment, use a command like /meta-experiment create --hypothesis "<your-hypothesis>" --sample-size 10; to monitor progress, run /meta-experiment status; to analyze results, run /meta-experiment analyze exp-<id>; to auto-manage experiments, run /meta-experiment --auto
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: meta-experiment Download link: https://github.com/psd401/psd-claude-coding-system/archive/main.zip#meta-experiment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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