research-corpus-search
CommunityFast, disambiguated PDF corpus search.
Authordavid-bieri
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables rapid, scalable searching of large PDF archives to locate mentions of terms or named entities, producing structured results and human-readable summaries.
Core Features & Use Cases
- Parallel text search across thousands of PDFs using PyMuPDF, with per-file summaries and disambiguation.
- Output artifacts: matches.csv, report.txt, and unreadable.txt for OCR candidates.
- Use Case: Find all mentions of a person in a 12,000-document corpus and export a per-document hits report for citation tracking.
Quick Start
Run the search_corpus.py script against your PDF root with one or more terms and optional excludes; specify an output directory to generate the CSV and report.
Dependency Matrix
Required Modules
pymupdftqdm
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: research-corpus-search Download link: https://github.com/david-bieri/bieri-ai/archive/main.zip#research-corpus-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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