Convert CAN protocol documents into unified CSV format for DBC generation.
npx skills add https://github.com/Delay-n-days/dbcjson5 --skill pdf-to-can-csv
Please help me install this Agent Skill. Skill: pdf-to-can-csv Source: https://github.com/Delay-n-days/dbcjson5/tree/main/.github/skills/pdf-to-can-csv Command: npx skills add https://github.com/Delay-n-days/dbcjson5 --skill pdf-to-can-csv
This Skill automates the conversion of various CAN communication protocol document formats (PDF, Excel, Word, images, text) into a standardized Unified CSV format, which serves as a prerequisite for generating DBC files.
csv2dbc.py for DBC file generation.Use the pdf-to-can-csv skill to convert the uploaded CAN protocol document into a Unified CSV format.
High-intent search queries and answers about installing and using this skill.
To convert a CAN protocol PDF to CSV, this Skill extracts message and signal definitions using large language models for direct content analysis, outputting a standardized CSV file ready for DBC file creation.
Yes, you can extract CAN bus message definitions from Word and Excel documents. The Skill uses fallback Python scripts with pandas and python-docx to parse structured data and output unified CSV files.
The best way to parse CAN signal definitions from images and plain text is using this Skill's large language model analysis, which directly processes unstructured inputs to extract message and signal data into a unified CSV format.
Yes, the converted CSV output works directly with csv2dbc.py. The Skill generates a standardized Unified CSV file that is specifically formatted to be compatible with csv2dbc.py for automated DBC file generation.
Yes, you need python-docx and pandas installed. These dependencies are required for the Skill's fallback Python scripts to execute structured data extraction from Excel and Word CAN protocol documents.
CAN protocol document parsing on complex PDFs relies on large language models for direct content analysis rather than strict rule-based parsing, which may struggle with highly irregular table structures or ambiguous signal definitions.
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