Rapidly skim and summarize academic papers (default:PDF-to-Markdown full text with `## Page XX` pagination and image references) and output a structured extensive-reading summary in Markdown when you need to quickly understand research questions, methods, key results, conclusions, and decide whether intensive reading is worthwhile.
Scanned 9/6/2026
Install to Claude Code
npx -y skills add aipoch/medical-research-skills --skill literature-extensive-read --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: literature-extensive-read
description: Rapidly skim and summarize academic papers (default:PDF-to-Markdown full text with `## Page XX` pagination and image references) and output a structured extensive-reading summary in Markdown when you need to quickly understand research questions, methods, key results, conclusions, and decide whether intensive reading is worthwhile.
license: MIT
author: AIPOCH
---
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
## When to Use
- You have a paper converted from PDF to Markdown and need a fast, structured overview before deciding to read it deeply.
- You need to extract the research question, methodology, main findings, and conclusions for literature triage.
- You are reviewing many papers and want consistent summaries using a fixed template.
- You want a quick interpretation of figures/tables referenced as images in the Markdown (only based on what is explicitly shown/described).
- You need to produce a UTF-8 Markdown summary file saved to a standard output directory for later review.
## Key Features
- Rapid extensive reading workflow: prioritize title/abstract/conclusion, then scan methods and results.
- Structured output using a predefined Markdown template.
- Supports PDF-to-Markdown inputs that include `## Page XX` pagination headers.
- Allows using embedded image references (e.g., ``) to briefly describe charts/tables when explicitly interpretable.
- Strictly summarizes only explicit content from the provided text (no speculation); missing items are marked as **“Not specified”**.
- Standardized output location: saves results to `outputs/` (created if missing).
## Dependencies
- `pdf-extract` (version: Not specified) — used only when the input is PDF and must be converted to Markdown first.
- `securityclaw` (version: Not specified) — optional security audit report saved alongside outputs.
## Example Usage
### Input
Assume you have one of the following:
1) A PDF-to-Markdown file (recommended):
- `paper.md` (contains full text, may include `## Page XX` and image references)
2) Only a PDF:
- `paper.pdf` (convert it first using `pdf-extract`)
### Steps
1) **(Optional) Convert PDF to Markdown**
```bash
pdf-extract paper.pdf > paper.md
```
2) **Read and summarize using the template**
- Read `paper.md`, prioritizing: **Title → Abstract → Conclusion**, then scan **Methods** and **Results**.
- Follow requirements and quality checks in:
- `references/guide.md`
- Fill the output template:
- `assets/rapid_summary_template.md`
- If any field cannot be found in the text, write: **Not specified**.
3) **Save output**
- Save the completed summary as a UTF-8 encoded Markdown file to:
- `outputs/rapid_summary.md`
4) **(Optional) Save security audit report**
- If generated, save the `securityclaw` report to:
- `outputs/`
## Implementation Details
- **Input format**
- Default input is full-text Markdown converted from PDF.
- Pagination headers like `## Page XX` may appear and should be treated as page markers, not section headings.
- Image references (e.g., ``) may be used to support brief figure/table descriptions **only when the content is explicitly interpretable**.
- **Reading strategy (algorithm)**
1. Extract bibliographic and high-level intent from **Title/Abstract**.
2. Identify the **research question(s)** and scope.
3. Scan **Methods** to capture: data, experimental setup, models, baselines, evaluation metrics, and key parameters (only if explicitly stated).
4. Scan **Results** to capture the main quantitative/qualitative findings and comparisons.
5. Read **Conclusion/Discussion** to capture claims, limitations, and future work.
6. Produce an **intensive-reading recommendation** based on the paper’s stated contributions, clarity of evidence, and relevance to the user’s goal (when provided).
- **Output rules**
- Use `assets/rapid_summary_template.md` as the sole structure for the final summary.
- If information is missing or unclear in the source text, write **Not specified** (do not infer).
- Output must be Markdown (`.md`) and saved in **UTF-8** to avoid encoding issues.
- Default output language is Chinese unless the user explicitly requests another language.Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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