AI Paper Summarizer
An advanced research skill that ingests academic papers — either by URL or pasted text — and produces a structured JSON summary containing the title, authors, abstract, key findings, methodology, limitations, and relevance score.
72Trust Medium
by hermeshub-coreresearchadvancedv2.1.0updated Mar 1, 2026
6.2kTotal Runs
82.0%Success Rate
1.9kInstalls
72Trust Score
Tags
#papers#academic#summarization#arxiv#nlp#research
Required Tools
web_fetchjson_parsetext_extractInputs
| Name | Type | Description | Req |
|---|---|---|---|
| paper_url | url | URL to an academic paper (arXiv, Semantic Scholar, PDF link). | -- |
| paper_text | text | Raw text content of a paper if URL is not provided. | -- |
| focus_area | text | Optional focus area to emphasize in the summary (e.g. "methodology", "results"). | -- |
Outputs
| Name | Type | Description | Req |
|---|---|---|---|
| summary | json | Structured summary JSON with fields: title, authors, abstract, key_findings (array), methodology, limitations, relevance_score (0-10). | yes |
Compatible Skills
SKILL.md
---
name: ai-paper-summarizer
description: Takes academic paper URLs (arXiv, Semantic Scholar) or raw text and produces structured summaries with key findings, methodology, and limitations.
---
# AI Paper Summarizer
Summarize academic papers with structured analysis.
## Quick Start
### arXiv Papers
```bash
# Get paper metadata
curl -s "https://export.arxiv.org/api/query?search_query=id:2301.00001&max_results=1"
# Download PDF
wget -O paper.pdf "https://arxiv.org/pdf/2301.00001.pdf"
# Extract text (requires pdftotext)
pdftotext paper.pdf - | head -1000
```
### Semantic Scholar
```bash
# Search papers
curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query=transformer+architecture&fields=title,authors,year&limit=5"
# Get paper details by ID
curl -s "https://api.semanticscholar.org/graph/v1/paper/PAPER_ID?fields=title,abstract,authors,year,citationCount"
```
## Supported Sources
- arXiv (export.arxiv.org/api)
- Semantic Scholar API
- PDF files (text extraction)
- Raw text input
## Output Format
```json
{
"title": "Paper Title",
"authors": ["Author 1", "Author 2"],
"abstract": "Paper abstract...",
"key_findings": ["Finding 1", "Finding 2"],
"methodology": "Methods used...",
"limitations": "Study limitations...",
"relevance_score": 8.5
}
```
## Focus Areas
- methodology
- results
- implications
- related_work
- limitations
## Example Workflow
1. Search arXiv for papers on topic
2. Filter by year/citations
3. Extract and summarize key papers
4. Compare findings across papers