sci-extract

Name: sci-extract
Author: ShZhao27208

187installs23forks

How to install sci-extract?

shzhao27208/aut_sci_write/sci-extract

$npx -y skills add ShZhao27208/Aut_Sci_Write --skill sci-extract

Installs into the current project.

Summary

Read an academic paper end to end and extract professional research insights, figures, metadata, and critique. Use this skill whenever the user shares a scientific paper, review paper, survey paper, systematic review, meta-analysis, scoping review, arXiv link, DOI, PDF, or pasted

Files · 1

View on GitHub

SKILL.md

1	# Sci-Extract — Scientific Extraction
2
3	Professional extraction of core insights and figures from scientific PDF papers.
4
5	> Note: This skill includes contributions from two authors. See [Copyright & License](#-copyright--license) section for details.
6
7	## Features
8	- Core Insights: Automatically identify research problem, methodology, key results, innovations, applications, and limitations.
9	- Review Literature Extraction: For reviews, surveys, systematic reviews, scoping reviews, and meta-analyses, extract the field scope, taxonomy, evidence base, consensus, disagreements, evidence quality, research gaps, and future directions.
10	- Figure Detection: Locate figure captions and crop the corresponding figure regions from PDF pages.
11	- Metadata Extraction: Parse title, authors, DOI, journal, and year.
12
13	## Steps：
14
15	### Step 1: Acquire the paper
16
17	Always read the paper fresh. Never rely on memory of the paper, even if the title looks familiar.
18
19	\| Input type \| Action \|
20	\| -------------------------------- \| ------------------------------------------------------------ \|
21	\| PDF in `/mnt/user-data/uploads/` \| Read it via the appropriate tool (see the `pdf-reading` skill if available). \|
22	\| arXiv link, arXiv ID, or DOI \| Use `web_fetch` on the arXiv abstract page, then on the PDF/HTML version for full text. \|
23	\| Pasted text in the chat \| Use directly. \|
24	\| Just a title with no link \| Ask the user for a link or upload before proceeding. Do not guess the paper. \|
25
26	If the paper is long, first classify the paper type, then prioritize the sections relevant to that type. For original research, prioritize abstract, introduction, method/theory, experiments, conclusion. For review literature, prioritize abstract, introduction, search/selection methods, taxonomy/classification sections, major thematic sections, summary tables, limitations, and future perspectives.
27
28	### Step 2: Classify the paper type
29
30	Before choosing the extraction template, classify the paper as one of:
31
32	- Original research article
33	- Narrative review / survey
34	- Systematic review
35	- Meta-analysis
36	- Scoping review
37	- Perspective / tutorial / methods overview
38
39	Use the title, abstract, introduction, and section headings. Signals for review literature include "review", "survey", "systematic review", "meta-analysis", "scoping review", "bibliometric", "taxonomy", "current status", "recent progress", "challenges", "future perspectives", and broad comparison tables.
40
41	If the paper is a review, survey, systematic review, meta-analysis, scoping review, perspective, or tutorial overview, do not force it into the original-research Heilmeier template. Use the Review Literature Extraction Mode below. Original research asks "what did this paper do and prove"; review literature asks "how does this paper map the field and judge the evidence".
42
43	### Step 3A: Original Research Mode - Answer the modified Heilmeier questions
44
45	Answer each of the seven questions below as a labeled subsection, in order. For each question, the rules differ on (a) whether your own evaluation is allowed and (b) whether external citations are allowed. Read the rules carefully before writing each subsection.
46
47	#### Question 1. What are you trying to do?
48
49	Open with a one-sentence statement of the paper's contribution written for a smart non-specialist, with absolutely no jargon. Ban acronyms and any technical term a first-year undergrad would not know. If a term of art is unavoidable, define it parenthetically in plain words. Then add one or two sentences expanding the objective in slightly more technical

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6 picks

Type

sci-extract

187installs23forks

View on GitHub

How to install sci-extract?

shzhao27208/aut_sci_write/sci-extract

$npx -y skills add ShZhao27208/Aut_Sci_Write --skill sci-extract

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Sci-Extract — Scientific Extraction
2
3	Professional extraction of core insights and figures from scientific PDF papers.
4
5	> Note: This skill includes contributions from two authors. See [Copyright & License](#-copyright--license) section for details.
6
7	## Features
8	- Core Insights: Automatically identify research problem, methodology, key results, innovations, applications, and limitations.
9	- Review Literature Extraction: For reviews, surveys, systematic reviews, scoping reviews, and meta-analyses, extract the field scope, taxonomy, evidence base, consensus, disagreements, evidence quality, research gaps, and future directions.
10	- Figure Detection: Locate figure captions and crop the corresponding figure regions from PDF pages.
11	- Metadata Extraction: Parse title, authors, DOI, journal, and year.
12
13	## Steps：
14
15	### Step 1: Acquire the paper
16
17	Always read the paper fresh. Never rely on memory of the paper, even if the title looks familiar.
18
19	\| Input type \| Action \|
20	\| -------------------------------- \| ------------------------------------------------------------ \|
21	\| PDF in `/mnt/user-data/uploads/` \| Read it via the appropriate tool (see the `pdf-reading` skill if available). \|
22	\| arXiv link, arXiv ID, or DOI \| Use `web_fetch` on the arXiv abstract page, then on the PDF/HTML version for full text. \|
23	\| Pasted text in the chat \| Use directly. \|
24	\| Just a title with no link \| Ask the user for a link or upload before proceeding. Do not guess the paper. \|
25
26	If the paper is long, first classify the paper type, then prioritize the sections relevant to that type. For original research, prioritize abstract, introduction, method/theory, experiments, conclusion. For review literature, prioritize abstract, introduction, search/selection methods, taxonomy/classification sections, major thematic sections, summary tables, limitations, and future perspectives.
27
28	### Step 2: Classify the paper type
29
30	Before choosing the extraction template, classify the paper as one of:
31
32	- Original research article
33	- Narrative review / survey
34	- Systematic review
35	- Meta-analysis
36	- Scoping review
37	- Perspective / tutorial / methods overview
38
39	Use the title, abstract, introduction, and section headings. Signals for review literature include "review", "survey", "systematic review", "meta-analysis", "scoping review", "bibliometric", "taxonomy", "current status", "recent progress", "challenges", "future perspectives", and broad comparison tables.
40
41	If the paper is a review, survey, systematic review, meta-analysis, scoping review, perspective, or tutorial overview, do not force it into the original-research Heilmeier template. Use the Review Literature Extraction Mode below. Original research asks "what did this paper do and prove"; review literature asks "how does this paper map the field and judge the evidence".
42
43	### Step 3A: Original Research Mode - Answer the modified Heilmeier questions
44
45	Answer each of the seven questions below as a labeled subsection, in order. For each question, the rules differ on (a) whether your own evaluation is allowed and (b) whether external citations are allowed. Read the rules carefully before writing each subsection.
46
47	#### Question 1. What are you trying to do?
48
49	Open with a one-sentence statement of the paper's contribution written for a smart non-specialist, with absolutely no jargon. Ban acronyms and any technical term a first-year undergrad would not know. If a term of art is unavoidable, define it parenthetically in plain words. Then add one or two sentences expanding the objective in slightly more technical

People who liked this also viewed

6 picks

Type