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edsl-study-files

Generate standard EDSL study files with Python templates for surveys, scenarios, agents, and models.

Updated Jun 4, 2025
Search Tags:#templates#research automation#edsl#survey design#study setup#llm experiments
One-click install
npx skills add https://github.com/expectedparrot/vernon --skill edsl-study-files
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edsl-study-files
Source: https://github.com/expectedparrot/vernon/tree/main/macaw/ep-agent/skills/edsl-study-files
Command: npx skills add https://github.com/expectedparrot/vernon --skill edsl-study-files

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides standardized templates for creating EDSL study jobs, streamlining the setup of surveys, scenarios, agents, and models.

Core Features & Use Cases

  • Standardized Structure: Offers pre-defined Python files for survey questions, scenario variations, agent personas, and model configurations.
  • Reproducible Research: Ensures consistency in setting up EDSL experiments.
  • Use Case: Quickly set up a new EDSL study for analyzing user preferences on AI-generated recipes by using these templates to define survey questions, different recipe scenarios, and various AI models.

Quick Start

Use the edsl-study-files skill to generate the standard EDSL study files.

Frequently Asked Questions about edsl-study-files

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

FAQPage Schema
How do I set up reproducible LLM experiments with EDSL survey templates?▼

Standardized EDSL study files offer pre-defined Python scripts for survey questions, scenario variations, agent personas, and model configurations. This ensures proper assembly and execution of reproducible LLM research jobs via a create_results.py script.

What is the best way to structure EDSL study files for survey design and agent personas?▼

Standardized EDSL study file templates separate survey definition, scenario variations, agent persona configuration, and LLM model selection into distinct Python scripts. This structure facilitates creating reproducible research jobs and proper assembly via create_results.py.

Can I use these EDSL study templates to configure different AI models for survey automation?▼

Yes, EDSL study templates include specific Python scripts for LLM model selection and configuration. This allows you to define and vary the AI models used in your automated survey research jobs alongside survey questions and agent personas.

How do I generate and run an EDSL research job using pre-defined Python scripts?▼

You use the EDSL templates to define your survey, scenarios, agents, and models, then execute the create_results.py script. This ensures proper assembly and automated execution of your reproducible LLM research jobs.

Do I need Python to use EDSL study templates for research automation?▼

Yes, you need Python because EDSL study templates are provided as pre-defined Python scripts for survey definition, scenario variations, agent personas, and model configurations. These scripts assemble and execute your LLM research jobs.

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