pdf_metadata_extract
OfficialExtract PDF metadata to JSON with ease
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for quickly and efficiently extracting metadata from PDF files, allowing users to view and process this information more effectively.
Core Features & Use Cases
- Metadata Extraction: Extracts essential information such as title, author, subject, and page count from PDF files.
- JSON Output: Outputs the extracted metadata in a JSON format for easy processing and integration with other systems.
- Use Case: For users who need to quickly access the metadata of multiple PDF files, such as library catalogers or researchers.
Quick Start
Run the pdf_metadata_extract skill to extract metadata from 'document.pdf' and output to 'metadata.json'.
Dependency Matrix
Required Modules
pypdf
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: pdf_metadata_extract Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#pdf-metadata-extract Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.