computational-study

Community

Plan and run rigorous computational experiments.

Authorsencersoylu
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Automates planning and execution of rigorous computational studies, including design, benchmarking, and ablation analysis for algorithms and models.

Core Features & Use Cases

  • Protocol-driven study design for algorithm evaluation, benchmarking, and ablation studies.
  • Structured steps for problem definition, method selection, baselines, datasets, evaluation, and reproducibility.
  • Use cases include empirical CS research, ML experiments, and systems benchmarking across multiple datasets.

Quick Start

Define your research goal and create a reproducible experimental plan following the protocol.

Dependency Matrix

Required Modules

None required

Components

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: computational-study
Download link: https://github.com/sencersoylu/scholar-flow/archive/main.zip#computational-study

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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