Extract text and structured tables from PDF documents.
npx skills add https://github.com/TheArchitectit/awesome-cline-skills --skill pdf-thearchitectit
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/TheArchitectit/awesome-cline-skills/tree/main/skills/pdf Command: npx skills add https://github.com/TheArchitectit/awesome-cline-skills --skill pdf-thearchitectit
Manually handling PDF documents—extracting data, filling forms, merging or splitting files—is slow and error-prone, especially when processing large volumes of documents for administrative, business, and research use cases.
Use the pdf skill to extract all text and tables from the attached 'annual_report.pdf' file and save the extracted table data to an Excel spreadsheet named report_tables.xlsx.
High-intent search queries and answers about installing and using this skill.
You can extract structured table data from PDF documents by parsing binary streams with pdfplumber to isolate text and tables, enabling structured data retrieval for reports or analysis.
Batch processing PDF invoices is best handled by automating extraction with this skill to pull vendor names and amounts from hundreds of files into a structured spreadsheet.
Yes, you can create and fill PDF forms programmatically by using reportlab and pypdf to generate documents and manipulate binary PDF streams to populate form fields.
Yes, this skill supports merging, splitting, and encrypting PDF files by applying command-line utilities and pypdf to manipulate document structures and apply password protection.
Yes, you need Python libraries like pypdf and pdfplumber installed in your environment to parse binary PDF streams and extract text and structured table data.
xu-mengnanExtract text and tables from PDFs using Python libraries.
run6270Analyze and manipulate Excel spreadsheet data with pandas and openpyxl.
ISAQQSAIExtract text and tables, merge documents, and fill forms in PDFs.
SALDAPALExtract text, tables, and metadata from PDF documents using Python libraries.
