Parse BACnet CSV exports into structured device records.
npx skills add https://github.com/hq-opensource/si-mapper --skill parse-csv
Please help me install this Agent Skill. Skill: parse_csv Source: https://github.com/hq-opensource/si-mapper/tree/main/agent/skills/parse_csv Command: npx skills add https://github.com/hq-opensource/si-mapper --skill parse-csv
This skill automates the parsing of BACnet CSV exports to reliably extract device information, reducing manual data entry and errors.
Parse the attached BACnet CSV file to extract structured device records.
High-intent search queries and answers about installing and using this skill.
To parse BACnet CSV exports, this skill filters and maps columns like bacnet, nom, valeur, and unit into structured device records. It groups points by suffixes such as .AI and .BI to capture measurements, commands, status, and configuration data for HVAC diagnostics.
Suffix-based grouping works by identifying point suffixes like .AI and .BI in the BACnet CSV export. It categorizes the extracted data into measurements, commands, status, and configuration records, ensuring structured device information is accurately captured for multi-vendor HVAC deployments.
Yes, you can parse BACnet CSV files for multi-vendor HVAC asset management. The skill extracts structured device records by validating input formats and mapping BACnet columns, making the data usable for diagnostics and asset tracking across diverse vendor deployments.
The best way to validate BACnet CSV data format and consistency is to use a parsing skill that enforces extraction rules. It validates input formats during the mapping of BACnet columns and provides robust error reporting to flag inconsistencies.
BACnet CSV extraction fails to group measurements and status data correctly if the input format is invalid or suffixes like .AI and .BI are missing. The skill addresses this by enforcing extraction rules, validating formats, and reporting robust errors for misaligned columns.
Yes, you need a specific BACnet CSV column structure to extract device records. The skill targets the bacnet, nom, valeur, and unit columns, mapping them into structured records while validating the input format to ensure accurate data extraction.
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