scientific-summarization

Summarize and simplify scientific literature, educational content, and research papers

IndexedMIT★ 1,019

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/beita6969-scientific-summarization

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About

Summarize and simplify scientific literature, educational content, and research papers

Use cases: writing, research

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/scientific-summarization

What's inside

Skill name: scientific-summarization
Description: Summarize and simplify scientific literature, educational content, and research papers
License: MIT
Instructions: 30 lines in SKILL.md · view on GitHub

Files (1)

SKILL.md

SKILL.md (first lines)

# Scientific Summarization & Simplification

## Purpose
Generate concise, accurate summaries of scientific papers, educational materials, and complex technical documents.

## Key Datasets
- **PubMed Summarization** (ccdv/pubmed-summarization): Article-abstract pairs for biomedical summarization
- **LearningQ** (AngusGLChen/LearningQ): TED-Ed (7K) + Khan Academy (223K) educational QA for learning-oriented summarization

## Protocol
1. **Document analysis** — Identify paper structure (IMRaD, review, case report)
2. **Key claim extraction** — Extract main findings, methods, and conclusions
3. **Audience calibration** — Adjust complexity to target audience (expert, student, public)
4. **Summary generation** — Structured summary with key takeaways
5. **Fidelity check** — Verify no hallucinated claims; all statements traceable to source

## Summary Types
- **Structured abstract**: Background, Methods, Results, Conclusions
- **Lay summary**: Plain-language explanation for non-experts
- **Technical brief**: Key findings and implications for domain experts
- **Educational summary**: Concept-first explanation with learning objectives

## Rules
- Never introduce claims not present in the source material
- Preserve numerical results exactly (p-values, effect sizes, confidence intervals)
- Flag study limitations mentioned by authors
- Distinguish between authors' conclusions and your interpretation
- For educational content, maintain pedagogical structure

From beita6969/ScienceClaw, MIT.

Signals

Stars: 1,019
Forks: 109
Open issues: 1
Last commit (this folder): Mar 12, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/beita6969/ScienceClaw
Website: scienceclaw.science
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

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Cite this page

scientific-summarization skill. Agent Mart. https://agentmart.dev/skills/beita6969-scientific-summarization (last updated 2026-10-24)