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literature-review
Gather and synthesize academic literature for a research question, then use findings to inform study design and analysis.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Gather and synthesize academic literature for a research question, then use findings to inform study design and analysis.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Patterns for creating EDSL AgentLists from various sources: lists, CSV, Excel, DataFrame, and programmatic combinations.
Saving EDSL objects locally and publishing them to Coop (Expected Parrot's servers).
Templates for the standard EDSL study files: survey, scenarios, agents, models, and create_results.py.
Error logging protocol using append-only JSONL format (errors.jsonl).
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.
Using FileStore to wrap files (images, PDFs, data) for use in EDSL survey scenarios.
| name | literature-review |
| description | Gather and synthesize academic literature for a research question, then use findings to inform study design and analysis. |
Systematic process for finding academic resources relevant to a research question and using them to strengthen study design.
plan.mdBefore searching, ensure you have a focused research question. Ask the user if needed. A good research question has:
Write the refined research question to literature/research_question.md in the study directory.
Use WebSearch to find relevant academic papers, working papers, and review articles. Run multiple searches with varied queries to get good coverage.
Run at least 3-5 searches using different angles:
# Direct topic search
WebSearch: "{core topic}" site:scholar.google.com
# Key constructs + methodology
WebSearch: "{construct}" survey experiment methodology
# Established scales or measures
WebSearch: "{construct}" validated scale measurement instrument
# Recent reviews or meta-analyses
WebSearch: "{topic}" systematic review OR meta-analysis
# Domain-specific searches
WebSearch: "{topic}" site:ssrn.com
WebSearch: "{topic}" site:arxiv.org
WebSearch: "{topic}" site:nber.org
For each promising source, use WebFetch to access the content where possible (preprints, open-access papers, abstracts). Extract:
Create literature/review.md in the study directory with the following structure:
# Literature Review: {Research Question}
## Overview
{2-3 paragraph synthesis of what the literature says about this topic}
## Key Themes
### Theme 1: {name}
{Summary of findings across papers}
- Source 1 (Author, Year): {key finding}
- Source 2 (Author, Year): {key finding}
### Theme 2: {name}
...
## Methodological Insights
{What methods have been used to study this? What worked well?
What sample sizes were typical? What validated scales exist?}
## Gaps and Opportunities
{What hasn't been studied? Where do findings conflict?
What would a new study contribute?}
## Implications for Study Design
{Specific recommendations for how to design the current study,
informed by the literature:}
- Suggested constructs to measure
- Recommended question types or scales
- Sample size considerations
- Potential confounds to control for
- Analysis approaches used in prior work
## References
{Full list of cited sources}
After completing the review, use the findings to:
plan.md to justify design choicesstudy_root/
literature/
research_question.md # Refined research question
review.md # Full literature review
sources/ # (optional) saved PDFs or key excerpts
plan.md # References literature findings