lindy-data-handling

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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".

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

# 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) ## Lindy Data Architecture | Component | Data Storage | Retention | |-----------|-------------|-----------| | **Tasks** | Task inputs, outputs, step data | Visible in dashboard | | **Memory** | Persistent snippets across tasks | Until manually deleted | | **Context** | Per-task accumulated context | Task lifetime only | | **Knowledge Base** | Uploaded files, crawled sites | Until manually removed | | **Integrations** | OAuth tokens, connection data | Until disconnected | | **Computer Use** | Browser session, screenshots | 30 days after last use | ## Instructions ### Step 1: Classify Data in Agent Workflows Map what data each agent processes: | Data Category | Examples | Handling | |--------------|---------|----------| | **Public** | Product info, FAQs, pricing | No restrictions | | **Internal** | Sales reports, meeting notes | Limit to authorized agents | | **Confidential** | Customer emails, CRM data | Access controls + audit | | **Restri...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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