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Reusable instructions for compatible AI agents.
Counts cover every published resource in this section. A resource can belong to several fields and platforms.
Agent skill for Backend Developer, Data Engineer, Product Manager, published by techatron66. Project details and file access are provided by the publisher.
Agent skill for Mobile Developer, QA / Test Engineer, DevOps / SRE, published by rdmptv. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Backend Developer, Frontend Developer, published by ComeOnOliver. Project details and file access are provided by the publisher.
Transforms unstructured PDF documents into structured formats like Excel or JSON, facilitating data analysis and integration.
Use when building a RAG pipeline that ingests PDFs, Excel, CSV, or images — especially when debugging silent data loss, choosing between OCR tools, or handling edge cases like scanned pages, merged cells, or embedded charts.
Use when building a RAG pipeline that ingests PDFs, Excel, CSV, or images — especially when debugging silent data loss, choosing between OCR tools, or handling edge cases like scanned pages, merged cells, or embedded charts.
Extract experimental materials and instrument information from PDFs (or PDF-derived text/Markdown) into three CSV tables; use when a paper/report contains sections like Materials and Methods, Key Resources Table, Reagents, Antibodies, Consumables, Software, Equipment, Instruments, or Reagent Prep...
Multi-method PDF extraction with sequential fallback and OCR for scanned documents
Resilient multi-tier PDF extraction with sequential fallback strategies when initial reading fails
Fallback workflow for extracting text from PDFs when read_file returns binary data
Multi-stage fallback strategy for PDF/document extraction using sequential tool alternatives
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
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