lindy-data-handling
Guidelines for handling PII and sensitive data securely within Lindy AI workflows, including storage and compliance best practices.
Install
mkdir -p .claude/skills/lindy-data-handling && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6284" && unzip -o skill.zip -d .claude/skills/lindy-data-handling && rm skill.zipInstalls to .claude/skills/lindy-data-handling
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Data handling best practices for Lindy AI agents.Key capabilities
- →Classify data processed by Lindy agents into categories like Public, Internal, Confidential, and Restricted.
- →Add data handling instructions directly to agent prompts for PII control.
- →Manage data safety for knowledge base files by controlling uploads.
- →Secure agent memory usage by preventing storage of PII or credentials.
- →Isolate Computer Use data by enabling Incognito mode for sensitive sessions.
How it works
The skill outlines steps to classify data, embed data handling rules in agent prompts, and manage data in knowledge bases, memory, and integrations to ensure compliance and security.
Inputs & outputs
When to use lindy-data-handling
- →Classify PII data in workflows
- →Audit data retention policies
- →Implement privacy controls for agent memory
- →Ensure compliance with data regulations
About this skill
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 |
| Restricted | PII, PHI, payment data | Minimize exposure + compliance |
Step 2: PII Controls in Agent Prompts
Add data handling instructions directly to agent prompts:
## Data Handling Rules
- Never include full email addresses in summaries — use "[name]@[domain]"
- Redact phone numbers in logs — show only last 4 digits
- Do not forward customer personal information to Slack channels
- When storing to spreadsheet, omit columns: email, phone, address
- If asked to share customer data externally, decline and escalate
Step 3: Knowledge Base Data Safety
Knowledge base files are searchable by the agent. Control what goes in:
DO upload:
- Product documentation
- FAQ articles
- Policy documents
- Public knowledge articles
DO NOT upload:
- Customer databases with PII
- Credentials or API keys
- Internal HR documents (unless agent specifically needs them)
- Financial records with account numbers
Resync considerations: KB auto-refreshes every 24 hours. If you upload sensitive content by mistake, remove it AND trigger a manual Resync.
Step 4: Secure Memory Usage
Agent memories persist across all future tasks. Be deliberate:
Safe memory: "Customer prefers email communication over phone"
Safe memory: "Billing questions should escalate to [email protected]"
Risky memory: "John Smith's SSN is 123-45-6789" ← NEVER store PII in memory
Risky memory: "API key for Stripe: sk_live_xxxx" ← NEVER store secrets
Add to agent prompt:
## Memory Rules
- Never store personally identifiable information (PII) in memory
- Never store credentials, API keys, or passwords in memory
- Memories should contain preferences, patterns, and procedures only
Step 5: Computer Use Data Isolation
If using Computer Use (browser automation):
- Sessions persist for 30 days with saved credentials
- Enable Incognito mode for sessions handling sensitive data
- Use dedicated (not shared) computer assignments for sensitive agents
- Review screenshots captured during execution for data exposure
Step 6: Integration Account Isolation
- Authorize dedicated service accounts per agent (not personal accounts)
- Use Gmail with a team alias, not an individual inbox
- Create read-only database credentials where possible
- Revoke access immediately when an agent is decommissioned
Step 7: Regulatory Compliance
GDPR (EU Data Protection):
- Document what personal data each agent processes
- Ensure agents only process data with valid legal basis
- Implement data subject access/deletion capabilities
- Agent prompt includes "do not retain personal data beyond task completion"
- Review Lindy's data processing agreement
CCPA (California Consumer Privacy):
- Identify agents processing California resident data
- Ensure opt-out mechanisms exist for data processing
- Agent prompt prevents selling/sharing personal information
HIPAA (Healthcare):
- Enterprise plan with BAA in place
- Agents only access minimum necessary PHI
- No PHI in agent memory or knowledge base
- Audit trail enabled for all PHI access
- Agent prompt includes PHI handling restrictions
Step 8: Data Retention Management
Agent Prompt Addition:
## Data Retention
- Do not reference data from tasks older than 30 days
- Clear task context after each run (do not accumulate indefinitely)
- When updating memory, remove outdated entries
- Summarize customer interactions, do not store verbatim transcripts
Data Handling Checklist
- Each agent's data classification documented
- PII handling rules in every agent prompt
- Knowledge base audited for sensitive content
- Memory creation restricted (no PII, no secrets)
- Integration accounts isolated per agent
- Computer Use sessions set to dedicated + incognito where needed
- Regulatory compliance requirements mapped
- BAA in place if handling healthcare data
- Data retention policy defined and enforced in prompts
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| PII in Slack channel | Agent forwarded customer email | Add "never forward PII to Slack" to prompt |
| Sensitive file in KB | Uploaded by mistake | Remove file + trigger KB resync immediately |
| Memory contains PII | Agent auto-created memory | Delete memory + add "never store PII" to prompt |
| Audit finding | Agent accessing unnecessary data | Remove unused integrations from agent |
Resources
Next Steps
Proceed to lindy-enterprise-rbac for access control.
When not to use it
- →When managing data for non-Lindy AI agents.
- →When data handling does not involve PII or sensitive information.
Prerequisites
Limitations
- →Knowledge base auto-refreshes every 24 hours, requiring manual resync for immediate removal of sensitive content.
- →Computer Use sessions persist for 30 days with saved credentials.
- →Agent memory persists across all future tasks, requiring deliberate management.
How it compares
This skill provides specific architectural guidance for data handling within Lindy AI, offering a structured approach to compliance and security that goes beyond general data management.
Compared to similar skills
lindy-data-handling side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| lindy-data-handling (this skill) | 1 | 27d | No flags | Intermediate |
| reverse-engineering-tools | 73 | 4mo | No flags | Advanced |
| game-hacking-techniques | 42 | 2mo | No flags | Advanced |
| solidity-security | 15 | 2mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by jeremylongshore
View all by jeremylongshore →You might also like
reverse-engineering-tools
gmh5225
Guide for reverse engineering tools and techniques used in game security research. Use this skill when working with debuggers, disassemblers, memory analysis tools, binary analysis, or decompilers for game security research.
game-hacking-techniques
gmh5225
Guide for game hacking techniques and cheat development. Use this skill when researching memory manipulation, code injection, ESP/aimbot development, overlay rendering, or game exploitation methodologies.
solidity-security
wshobson
Master smart contract security best practices to prevent common vulnerabilities and implement secure Solidity patterns. Use when writing smart contracts, auditing existing contracts, or implementing security measures for blockchain applications.
1password
openclaw
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
senior-security
davila7
Comprehensive security engineering skill for application security, penetration testing, security architecture, and compliance auditing. Includes security assessment tools, threat modeling, crypto implementation, and security automation. Use when designing security architecture, conducting penetration tests, implementing cryptography, or performing security audits.
ghidra
mitsuhiko
Reverse engineer binaries using Ghidra's headless analyzer. Decompile executables, extract functions, strings, symbols, and analyze call graphs without GUI.