Individual skill
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".
plugins/saas-packs/lindy-pack/skills/lindy-data-handling/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Observed behavior
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- Last checked
- Nov 12, 2026
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- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- lindy Declared skill tag
- compliance Declared skill tag
- engineering Derived category
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SKILL.mdcore · 7,509 bytesreferences/implementation-guide.mddoc · 7,193 bytes
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# 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 agents
- Knowledge of applicable regulations (GDPR, CCPA, HIPAA)
- For HIPAA: Business Associate Agreement (BAA) with Lindy (Enterprise plan)
