lindy-data-handling
Data handling best practices for Lindy AI agents. Use when managing sensitive data in agent workflows, implementing data privacy controls, or ensuring compliance. Trigger with phrases like "lindy data", "lindy privacy", "lindy PII", "lindy data handling", "lindy GDPR", "lindy HIPAA". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-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.
# Lindy Data Handling ## Overview Lindy agents process data through triggers, LLM calls, actions, knowledge bases, and memory. Data flows through Lindy's managed infrastructure with AES-256 encryption at rest and in transit. This skill covers data classification, PII handling, prompt-level data controls, and regulatory compliance. ## Prerequisites - Understanding of data types processed by your ag
What does the lindy-data-handling skill do?
Data handling best practices for Lindy AI agents. Use when managing sensitive data in agent workflows, implementing data privacy controls, or ensuring compliance. Trigger with phrases like "lindy data", "lindy privacy", "lindy PII", "lindy data handling", "lindy GDPR", "lindy HIPAA". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-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.