skills

Analyze EDSL Results objects - load by UUID or file path, export survey documentation, and generate analysis reports

Answer questions about a generated analysis report - reads report artifacts, performs additional analysis if needed, and saves the answer with metadata

Design complete surveys from free text requirements - generates a Python script with Survey, ScenarioList, and AgentList definitions

Design a detailed experimental plan from a research question - includes literature review, randomization plan, survey design, power analysis, and sample size recommendation

EDSL agent reference - AgentList operations, trait manipulation, templates, codebooks, and instructions

Save/load Surveys, Agents, and AgentLists locally, push/pull to Expected Parrot cloud, git versioning

EDSL survey reference - question types, templating, rules, memory, helpers, and visualization

Publish a completed study to GitHub - creates a repo with the analysis report as README.md, all charts, data, and a reproducibility footer linking to Expected Parrot

Search, browse, and pull EDSL objects (Surveys, Results, AgentLists, etc.) from Expected Parrot cloud

Create AgentLists from web searches, descriptions, local files, or programmatic generation

Create Surveys from questions, QSF files, or programmatically with branching logic