maintainx-data-handling
Data synchronization, ETL patterns, and data management for MaintainX. Use when syncing data between MaintainX and other systems, building ETL pipelines, or managing data consistency. Trigger with phrases like "maintainx data sync", "maintainx etl", "maintainx export", "maintainx data migration", "maintainx data pipeline". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill maintainx-data-handling --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# MaintainX Data Handling ## Overview Patterns for synchronizing, transforming, and exporting data between MaintainX and external systems (databases, data warehouses, ERPs). ## Prerequisites - MaintainX API access configured - Node.js 18+ with `axios` - Target database or data warehouse available ## Instructions ### Step 1: Incremental Sync with Cursor Pagination ```typescript import { MaintainXCl
What does the maintainx-data-handling skill do?
Data synchronization, ETL patterns, and data management for MaintainX. Use when syncing data between MaintainX and other systems, building ETL pipelines, or managing data consistency. Trigger with phrases like "maintainx data sync", "maintainx etl", "maintainx export", "maintainx data migration", "maintainx data pipeline". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill maintainx-data-handling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.