Evaluation Analyst
CommunityQuantify uncertainty to decide outcomes.
Data & Analytics#statistics#uncertainty#analyze#decision-making#experiments#hypothesis-testing#effect-size
Authorsoheunyi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Converts experimental results into defensible decisions by quantifying uncertainty, effect sizes, and significance, reducing overclaiming and ambiguity in hypothesis conclusions.
Core Features & Use Cases
- Quantifies uncertainty with clear intervals and confidence levels to accompany metrics.
- Interprets experiment outcomes as supports, inconclusive, or rejects with explicit linkage to baseline and hypotheses.
- Applies across multiple variants and metrics, referencing predeclared decision thresholds and the workflow rules for reproducibility.
Quick Start
Provide your experiment outcomes and hypothesis details, and the skill will output a decision with quantified uncertainty and effect size.
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: Evaluation Analyst Download link: https://github.com/soheunyi/get-research-done/archive/main.zip#evaluation-analyst Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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