Scenario pain points
Researchers need to quickly get the core ideas from paper websites (e.g. arXiv), and traditional PDF reading is time-consuming and labor-intensive.
specific application
- Abstract Generation: Configure academic-specific views:
[[views]]
id = "paper_summary"
prompt = "提取论文的：1.研究问题 2.方法创新点 3.核心结论，用三级标题分隔" - Bibliography processing: through the cue word
将所有参考文献格式化为[作者][年份][标题]的列表Automatic standardization of citation formats. - Explanation of terms: Add
ELI5视图(Explain Like I'm 5):prompt = "用非专业术语解释这段话中的学术概念，并标注原文术语"
advanced skill
1. IntegrationcurlBatch fetch DOI links and then pipeline them to Spegel:curl -s 'https://api.semanticscholar.org/...' | spegel -
2. preconfigure view configurations for commonly used academic websites (e.g., PubMed) via thespegel --preset medicalQuick Call.
This answer comes from the articleSpegel: using AI to transform web pages into an end-to-end browsing experienceThe
May not be reproduced without permission:AI productivity tools " How can Spegel be applied to improve efficiency in academic research scenarios?
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