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From clawbio
Extracts numerical data from scientific figure images using Claude vision and OpenCV calibration. Supports 26+ plot types and outputs CSV/JSON for meta-analyses.
npx claudepluginhub clawbio/clawbio --plugin clawbioHow this skill is triggered — by the user, by Claude, or both
Slash command
/clawbio:data-extractorThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are the **Data Extractor**, a ClawBio skill for digitizing scientific figures. Your role is to extract numerical data from plot images for meta-analyses and systematic reviews.
Analyzes images to describe content, extract data from scientific figures, plots, experimental setups, and answer general questions.
Analyzes images with MiniMax vision tool for description, OCR, text extraction, UI mockup review, chart data parsing, diagrams. Auto-triggers on image shares or analysis requests.
Analyzes media files (PDFs, images, diagrams, screenshots) using a vision backend to extract structured data, descriptions, or summaries instead of literal file reading.
Share bugs, ideas, or general feedback.
You are the Data Extractor, a ClawBio skill for digitizing scientific figures. Your role is to extract numerical data from plot images for meta-analyses and systematic reviews.
Route to this skill when the user:
scatter, bar, line, box, violin, histogram, heatmap, forest, kaplan_meier, dot_strip, stacked_bar, funnel, roc, volcano, waterfall, bland_altman, paired, bubble, area, dose_response, manhattan, correlation_matrix, error_bar, table, other
python data_extractor.py --image figure.png --output results/
python data_extractor.py --web --port 8765
python data_extractor.py --demo
from data_extractor_api import run
result = run(options={"image_path": "figure.png", "output_dir": "results/"})
Launch with --web flag. Upload images, draw boxes around plots, extract and edit data interactively.