Patterns for creating EDSL AgentLists from various sources: lists, CSV, Excel, DataFrame, and programmatic combinations.
원문 언어: 영어
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SkillsMP는 expectedparrot/vernon에서 11개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 11개 중 11개를 표시합니다.
Patterns for creating EDSL AgentLists from various sources: lists, CSV, Excel, DataFrame, and programmatic combinations.
원문 언어: 영어
Saving EDSL objects locally and publishing them to Coop (Expected Parrot's servers).
원문 언어: 영어
Templates for the standard EDSL study files: survey, scenarios, agents, models, and create_results.py.
원문 언어: 영어
Error logging protocol using append-only JSONL format (errors.jsonl).
원문 언어: 영어
Developer tool: find the most recent errors.jsonl from an agent run, diagnose root causes, and interactively patch the agent's instruction files to prevent recurrence.
원문 언어: 영어
Using FileStore to wrap files (images, PDFs, data) for use in EDSL survey scenarios.
원문 언어: 영어
Launching EDSL surveys for real human respondents via humanize, including scenario methods, Prolific integration, and retrieving responses.
원문 언어: 영어
Gather and synthesize academic literature for a research question, then use findings to inform study design and analysis.
원문 언어: 영어
Compliance checklist template for studies. All items must be checked with evidence before marking a study complete.
원문 언어: 영어
Directory structure, naming conventions, and git workflow for organizing studies.
원문 언어: 영어
Complete reference for EDSL survey construction: question types, Jinja2 templating, skip/navigation rules, and memory modes.
원문 언어: 영어