Extract text, tables, and metadata from scientific PDF papers and reports
Skill by lamm-mit
Install
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.
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About
Use cases: documents, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/pdf
What's inside
- Skill name
pdf- Description
- Extract text, tables, and metadata from scientific PDF papers and reports
- License
- Apache-2.0
- Instructions
- 50 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- metadata: must be a key/value mapping
Files (3)
- SKILL.md
- pdf_extract.cpython-313.pyc · scripts/__pycache__/
- pdf_extract.py · scripts/
SKILL.md (first lines)
## Overview
PDF processing toolkit for extracting text, tables, and metadata from scientific papers, supplementary data files, and technical reports. Uses pdfplumber for high-fidelity text and table extraction with layout preservation, falling back to pypdf when pdfplumber is unavailable.
Supports page range selection for large documents and targeted extraction modes (text-only, tables-only, metadata-only) for efficient processing.
## Usage
```bash
# Extract everything from a PDF
python3 skills/pdf/scripts/pdf_extract.py --file /path/to/paper.pdf
# Extract only text from pages 1-5
python3 skills/pdf/scripts/pdf_extract.py --file /path/to/paper.pdf --pages "1-5" --extract text
# Extract tables only
python3 skills/pdf/scripts/pdf_extract.py --file /path/to/supplementary.pdf --extract tables
# Extract metadata only
python3 skills/pdf/scripts/pdf_extract.py --file /path/to/paper.pdf --extract metadata
```
## Output Format
```json
{
"file": "/path/to/paper.pdf",
"text": "Abstract\n\nWe present a novel approach to protein structure...",
"tables": [
[["Gene", "Expression", "p-value"], ["BRCA1", "2.4x", "0.001"]],
[["Compound", "IC50 (nM)"], ["Compound A", "12.3"]]
],
"metadata": {
"title": "Novel Approach to Protein Structure Prediction",
"author": "Smith et al.",
"creation_date": "2024-01-15",
"pages": 12
},
"page_count": 12
}
```
## Dependencies
Install with pip:
```bash
pip install pdfplumber pypdf
```From lamm-mit/scienceclaw, Apache-2.0.
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Signals
- Stars
- 250
- Forks
- 47
- Open issues
- 1
- Last commit (this folder)
- Mar 14, 2026 (7 months ago)
- Last release
- Jun 23, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/lamm-mit/scienceclaw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
pdf skill. Agent Mart. https://agentmart.dev/skills/lamm-mit-pdf-e3f7a2 (last updated 2026-10-24)