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optimization.experiment_analysis

4.9

by majiayu000

75Favorites
51Upvotes
0Downvotes

Audience for the analysis (e.g., execs, squad).

experimentation

4.9

Rating

0

Installs

Data & Analytics

Category

Quick Review

This skill provides a solid framework for experiment analysis with clear workflow steps, output templates, and invocation guidance. The structure is well-organized with helpful pre-run checklists and follow-up actions. However, the description field is notably weak—it only states 'Audience for the analysis' which appears to be a copy-paste error from a variable description, failing to actually describe what the skill does. Task knowledge is strong with statistical interpretation, decision frameworks, and executive storytelling elements. Novelty is moderate; while experiment analysis benefits from structured templates, much of this could be accomplished by a CLI agent with good prompting, though the skill does add value through consistent formatting and workflow orchestration.

LLM Signals

Description coverage6
Task knowledge8
Structure8
Novelty4

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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majiayu000

Skill Author

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