Expected Parrot
Official@expectedparrot · United States of America
Automated social science
Agent Skills by Expected Parrot
Showing 27 vetted skills indexed across 3 GitHub repositories.
expectedparrotagent-lists
Generate EDSL AgentLists from CSV, Excel, dictionaries, and pandas DataFrames.
expectedparroterror-logging
Log command failures and Python tracebacks in append-only JSONL format.
expectedparrotfile-store
Wrap images, documents, and data into FileStore objects for EDSL surveys.
expectedparrotstudy-file-organization
Scaffold standardized study directories with Python and Git workflows.
expectedparroterror-review
Parse `errors.jsonl` files to diagnose agent errors and patch instruction files.
expectedparrotcoop-publishing
Save EDSL objects locally and publish them to Coop servers.
expectedparrotedsl-study-files
Generate standard EDSL study files with Python templates for surveys, scenarios, agents, and models.
expectedparrotliterature-review
Gather and synthesize academic literature via web search and extraction.
expectedparrothumanize
Launch EDSL surveys to human respondents via direct links or Prolific integration.
expectedparrotsurveys
Create and manage dynamic surveys with EDSL and Jinja2 templating.
expectedparrotstudy-checklist
Enforce a compliance checklist with evidence for research studies.
expectedparrotreport-reference
Codify quality standards for analysis reports in the EDSL Research plugin.
expectedparrotconjoint-study
Design, generate, and analyze conjoint studies with EDSL.
expectedparrotcreate-interview-guide
Generate EDSL Survey interview guides using QuestionInterview and Geiecke & Jaravel methodology.
expectedparrotanalyze-conjoint-results
Generate conjoint analysis reports with part-worth utilities and attribute importance charts.
expectedparrotreferee-report
Generate structured referee reports for academic economics papers from PDFs.
expectedparrotedsl-survey-reference
Consolidate EDSL survey design references for question types, templating, rules, memory, and visualization.
expectedparrotpublish-study
Publish a study directory to GitHub with README, charts, and reproducibility footer.
expectedparrotedsl-agent-reference
Reference EDSL AgentList operations, trait manipulation, and templates.
expectedparrotcreate-agent-list
Create AgentLists from CSV, Excel, dictionaries, or DataFrames and save as JSON.
expectedparrotedsl-persistence-reference
Save and load EDSL Surveys, Agents, and AgentLists locally and in the cloud.
expectedparrotanswer-question
Read report.md and results.csv to answer questions and save answer.md with meta.json.
expectedparrotdesign-experiment
Generate comprehensive experimental design documents from a research question.
expectedparrotanalyze-results
Parse EDSL Results by UUID and generate Markdown, HTML, and CSV analysis packages.
Frequently Asked Questions About Expected Parrot
FAQPage SchemaWhat specific research tasks can I perform using Expected Parrot?▼
You can design complex experimental surveys, execute conjoint studies, generate academic referee reports from PDFs, and synthesize literature reviews. The system supports end-to-end research management, from initial study scaffolding and participant recruitment to final data analysis and reproducibility reporting.
Which researchers or personas benefit most from these capabilities?▼
Social scientists, academic economists, and quantitative researchers benefit most from these capabilities. The platform is specifically engineered for those requiring rigorous experimental design, standardized study directory scaffolding, and reproducible analysis of survey results within the social science domain.
What are the prerequisites for running these research studies?▼
Users require a foundational understanding of EDSL structures, including Survey, AgentList, and ScenarioList definitions. You must have a local environment configured for file management and access to the Expected Parrot Coop servers for object persistence and study publishing.