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Summarize academic papers with structured extraction of key elements
Passed 16 of 23 test cases with the skill, and 13 of 23 without it.
and 4 more in the full report
4 fixed12 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is a citation for a newly published manuscript on RLHF alignment: 'Smith et al., 2024, Reinforcement Learning from Human Feedback: A Comprehensive Survey, Nature Machine Intelligence, DOI: 10.1038/s42256-024-00001-x'. Summarize the bibliographic metadata. I usually just list the authors, title, journal, and year.
| Checked | Without skill | With skill |
|---|---|---|
| Include the digital object identifier in bibliographic details. | Passed | Passed |
| Classify paper type using standard categories such as review or empirical. | Missed | Passed |
The instructions your model reads when the skill loads.
Academic papers are dense, technical documents that require significant time to read and understand fully. The Academic Paper Summarizer skill provides a systematic framework for extracting the essential elements from research papers into structured, reusable summaries.
This skill is designed for researchers who need to rapidly process large volumes of literature—whether during a systematic review, when onboarding into a new field, or when preparing a literature review section for their own manuscripts. Rather than producing generic summaries, it enforces a structured template that captures the components most relevant to downstream academic work: research questions, methodology, key findings, limitations, and contributions to the field.
The skill works with any academic paper format (PDF, HTML, plain text) and can be adapted across disciplines from biomedical sciences to social sciences, engineering, and humanities. It emphasizes fidelity to the original text while organizing information into a consistent schema that facilitates comparison across papers.
The core of this skill is a multi-section extraction template. When summarizing a paper, populate each of the following fields:
Bibliographic Metadata:
Research Context:
Methodology Summary:
Key Findings:
Critical Assessment:
test cases passed, vs 13 / 23 without
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