crisai-research-methodology
CommunityTransform a hunch into an accepted result in crisAI.
Software Engineering#root cause analysis#hypothesis testing#research methodology#crisAI#experiment flag
Authorcrissdiamond
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured methodology for turning research hunches into accepted results within the crisAI platform, ensuring thorough investigation and validation.
Core Features & Use Cases
- Root Cause Analysis: Offers a systematic approach to identifying and validating root causes of issues.
- Hypothesis Testing: Encourages precise prediction of outcomes before running tests, with a focus on trace events and gate outcomes.
- Idea Lifecycle Management: Guides the development of ideas through various stages, including live failure sessions, defect decomposition, and ADR creation.
- Experiment Flag Management: Provides guidelines for introducing new behaviors with opt-in switches and validation against live sessions.
- Validation and Retirement: Ensures experiments are validated across all execution modes and ends appropriately with flips or documented retirements.
Quick Start
Load the crisai-research-methodology skill to start or review an investigation, propose a fix, or plan a feature flag.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: crisai-research-methodology Download link: https://github.com/crissdiamond/crisAI/archive/main.zip#crisai-research-methodology Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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