navan-data-handling
Extract and transform Navan booking and transaction data using pagination, filtering, and data pipeline connectors. Use when building data warehouses, analytics dashboards, or debugging data quality issues with Navan data. Trigger with "navan data handling", "navan data extraction", "navan pagination". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill navan-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.
# Navan Data Handling ## Overview This skill covers data extraction and transformation patterns for Navan booking and transaction data. Navan exposes two primary data tables with different refresh behaviors: BOOKING (full re-import weekly, keyed by UUID) and TRANSACTION (incremental append-only). Data can be extracted via the direct REST API or through managed connectors — Fivetran, Airbyte (sourc
What does the navan-data-handling skill do?
Extract and transform Navan booking and transaction data using pagination, filtering, and data pipeline connectors. Use when building data warehouses, analytics dashboards, or debugging data quality issues with Navan data. Trigger with "navan data handling", "navan data extraction", "navan pagination". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill navan-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.
