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_scaffold-experiment

Generate run.sh, analyze.py, and FINDINGS.md templates for experiment scaffolding.

2|1|Updated Feb 17, 2026
Search Tags:#testing#code scaffolding#devops#script generation#hypothesis testing#experimentation
One-click install
npx skills add https://github.com/inference-sim/sdlc-plugins --skill scaffold-experiment-inference-sim
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: _scaffold-experiment
Source: https://github.com/inference-sim/sdlc-plugins/tree/main/plugins/hypothesis-test/skills/_scaffold-experiment
Command: npx skills add https://github.com/inference-sim/sdlc-plugins --skill scaffold-experiment-inference-sim

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation of essential files needed to run and analyze experiments for a given hypothesis, streamlining the hypothesis-driven development process.

Core Features & Use Cases

  • Automated File Generation: Creates run.sh, analyze.py, and FINDINGS.md templates.
  • Language Adaptability: Tailors build and run commands based on project language (Go, Python, Node, Other).
  • Use Case: After defining a hypothesis about improving caching latency, use this skill to automatically generate the necessary scripts and templates to design, run, and analyze experiments comparing different caching strategies.

Quick Start

Use the _scaffold-experiment skill to generate experiment files for the hypothesis in the 'h3-caching-latency' directory.

Frequently Asked Questions about _scaffold-experiment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scaffold experiment directories for hypothesis testing?▼

To scaffold experiment directories for hypothesis testing, you can use automated code scaffolding tools that generate executable shell scripts, Python analysis scripts, and Markdown finding templates to streamline the setup process.

What files do I need to run experiments and analyze findings for a new hypothesis?▼

To run experiments and analyze findings, you typically need a shell execution script like run.sh, a Python analysis script like analyze.py, and a Markdown template like FINDINGS.md to document the results of your hypothesis testing.

Can I generate experiment scripts for Go, Python, and Node.js projects?▼

Yes, you can generate experiment scripts for Go, Python, and Node.js projects. Language-specific command generation ensures the build and run commands in the scaffolded scripts match your development environment.

How do I automate script generation for comparing different caching strategies?▼

Automating script generation for comparing caching strategies involves creating a dedicated experiment directory, then generating the run.sh, analyze.py, and FINDINGS.md files to execute, measure, and report the latency differences.

Does the generated experiment scaffolding work with projects outside of Go, Python, and Node.js?▼

Yes, the experiment scaffolding supports projects outside of Go, Python, and Node.js by categorizing them under an Other profile, ensuring basic executable shell scripts and analysis templates are still generated.

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