Local PDF Index Builder
OfficialCreate searchable PDF collections for quick discovery.
Authorallenai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables users to build a searchable index from local PDF files, facilitating rapid retrieval and semantic understanding of research papers or documents.
Core Features & Use Cases
- Indexing PDFs: Converts and chunks local PDFs into markdown, then builds an index for efficient search.
- Semantic Search: Enables querying large collections of research papers by content, such as extracting relevant sections or summaries.
- Use Case: Imagine you have a folder of research papers in PDF format. Use this Skill to convert them into a searchable index, allowing quick retrieval of relevant information and highlights without manually reading each paper.
Quick Start
Use the skill to index your PDF research papers by specifying your PDF folder, output directory, and collection name.
Dependency Matrix
Required Modules
astapyyamlpython3
Components
scriptsassets
💻 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: Local PDF Index Builder Download link: https://github.com/allenai/asta-plugins/archive/main.zip#local-pdf-index-builder Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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