---
name: fireflies-data-handling-3a1d327642ff
description: |
  Implement Fireflies.ai PII handling, data retention, and GDPR/CCPA compliance patterns.
  Use when handling sensitive data, implementing data redaction, configuring retention policies,
  or ensuring compliance with privacy regulations for Fireflies.ai integrations.
  Trigger with phrases like "fireflies data", "fireflies PII",
  "fireflies GDPR", "fireflies data retention", "fireflies privacy", "fireflies CCPA".
allowed-tools: Read, Write, Edit
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---

# Fireflies.ai Data Handling

## Overview
Handle sensitive data correctly when integrating with Fireflies.ai.

## Prerequisites
- Understanding of GDPR/CCPA requirements
- Fireflies.ai SDK with data export capabilities
- Database for audit logging
- Scheduled job infrastructure for cleanup

## Data Classification

| Category | Examples | Handling |
|----------|----------|----------|
| PII | Email, name, phone | Encrypt, minimize |
| Sensitive | API keys, tokens | Never log, rotate |
| Business | Usage metrics | Aggregate when possible |
| Public | Product names | Standard handling |

## PII Detection

```typescript
const PII_PATTERNS = [
  { type: 'email', regex: /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g },
  { type: 'phone', regex: /\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g },
  { type: 'ssn', regex: /\b\d{3}-\d{2}-\d{4}\b/g },
  { type: 'credit_card', regex: /\b\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}\b/g },
];

function detectPII(text: string): { type: string; match: string }[] {
  const findings: { type: string; match: string }[] = [];

  for (const pattern of PII_PATTERNS) {
    const matches = text.matchAll(pattern.regex);
    for (const match of matches) {
      findings.push({ type: pattern.type, match: match[0] });
    }
  }

  return findings;
}
```

## Data Redaction

```typescript
function redactPII(data: Record<string, any>): Record<string, any> {
  const sensitiveFields = ['email', 'phone', 'ssn', 'password', 'apiKey'];
  const redacted = { ...data };

  for (const field of sensitiveFields) {
    if (redacted[field]) {
      redacted[field] = '[REDACTED]';
    }
  }

  return redacted;
}

// Use in logging
console.log('Fireflies.ai request:', redactPII(requestData));
```

## Data Retention Policy

### Retention Periods
| Data Type | Retention | Reason |
|-----------|-----------|--------|
| API logs | 30 days | Debugging |
| Error logs | 90 days | Root cause analysis |
| Audit logs | 7 years | Compliance |
| PII | Until deletion request | GDPR/CCPA |

### Automatic Cleanup

```typescript
async function cleanupFireflies.aiData(retentionDays: number): Promise<void> {
  const cutoff = new Date();
  cutoff.setDate(cutoff.getDate() - retentionDays);

  await db.firefliesLogs.deleteMany({
    createdAt: { $lt: cutoff },
    type: { $nin: ['audit', 'compliance'] },
  });
}

// Schedule daily cleanup
cron.schedule('0 3 * * *', () => cleanupFireflies.aiData(30));
```

## GDPR/CCPA Compliance

### Data Subject Access Request (DSAR)

```typescript
async function exportUserData(userId: string): Promise<DataExport> {
  const firefliesData = await firefliesClient.getUserData(userId);

  return {
    source: 'Fireflies.ai',
    exportedAt: new Date().toISOString(),
    data: {
      profile: firefliesData.profile,
      activities: firefliesData.activities,
      // Include all user-related data
    },
  };
}
```

### Right to Deletion

```typescript
async function deleteUserData(userId: string): Promise<DeletionResult> {
  // 1. Delete from Fireflies.ai
  await firefliesClient.deleteUser(userId);

  // 2. Delete local copies
  await db.firefliesUserCache.deleteMany({ userId });

  // 3. Audit log (required to keep)
  await auditLog.record({
    action: 'GDPR_DELETION',
    userId,
    service: 'fireflies',
    timestamp: new Date(),
  });

  return { success: true, deletedAt: new Date() };
}
```

## Data Minimization

```typescript
// Only request needed fields
const user = await firefliesClient.getUser(userId, {
  fields: ['id', 'name'], // Not email, phone, address
});

// Don't store unnecessary data
const cacheData = {
  id: user.id,
  name: user.name,
  // Omit sensitive fields
};
```

## Instructions

### Step 1: Classify Data
Categorize all Fireflies.ai data by sensitivity level.

### Step 2: Implement PII Detection
Add regex patterns to detect sensitive data in logs.

### Step 3: Configure Redaction
Apply redaction to sensitive fields before logging.

### Step 4: Set Up Retention
Configure automatic cleanup with appropriate retention periods.

## Output
- Data classification documented
- PII detection implemented
- Redaction in logging active
- Retention policy enforced

## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| PII in logs | Missing redaction | Wrap logging with redact |
| Deletion failed | Data locked | Check dependencies |
| Export incomplete | Timeout | Increase batch size |
| Audit gap | Missing entries | Review log pipeline |

## Examples

### Quick PII Scan
```typescript
const findings = detectPII(JSON.stringify(userData));
if (findings.length > 0) {
  console.warn(`PII detected: ${findings.map(f => f.type).join(', ')}`);
}
```

### Redact Before Logging
```typescript
const safeData = redactPII(apiResponse);
logger.info('Fireflies.ai response:', safeData);
```

### GDPR Data Export
```typescript
const userExport = await exportUserData('user-123');
await sendToUser(userExport);
```

## Resources
- [GDPR Developer Guide](https://gdpr.eu/developers/)
- [CCPA Compliance Guide](https://oag.ca.gov/privacy/ccpa)
- [Fireflies.ai Privacy Guide](https://docs.fireflies.com/privacy)

## Next Steps
For enterprise access control, see `fireflies-enterprise-rbac`.

---
Source attribution: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/fireflies-pack/skills/fireflies-data-handling/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License (with OpenAI/Anthropic Rider)

Copyright (c) 2026 Jeffrey Emanuel

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

ADDITIONAL RIDER / RESTRICTION (OpenAI / Anthropic):

This rider is part of the "conditions" of this License. In the event of any
conflict between this rider and any other portion of this License, this rider
controls.

"Restricted Parties" means OpenAI, L.L.C.; Anthropic, PBC; any of their
respective Affiliates; and any person or entity acting directly or indirectly
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foregoing (including any officer, director, employee, contractor, agent,
consultant, service provider, or representative).

Notwithstanding any other provision of this License, no rights are granted to
any Restricted Party. Any purported license, sublicense, assignment, transfer,
or other permission to any Restricted Party is null and void absent the
express prior written permission of Jeffrey Emanuel.

You may not provide, disclose, distribute, sublicense, sell, lease, lend,
host, make available, or otherwise permit access to the Software or any
derivative work of the Software (as defined in applicable copyright law)
(collectively, "Derivative Works") to or for any Restricted Party.

For purposes of this rider, "use" includes, without limitation: copying,
modifying, merging, publishing, distributing, sublicensing, selling,
transferring, making available, hosting, deploying, executing, benchmarking,
testing, analyzing, indexing, or incorporating the Software or any Derivative
Works into any dataset, training corpus, evaluation harness, or pipeline for
machine learning or other automated systems.

This rider applies to the Software and all Derivative Works. As a condition of
use, you agree that this rider is a precondition to exercising any rights
under this License, and you agree that any distribution of the Software or any
Derivative Works must include this rider provision unmodified.

Any breach of this rider automatically and immediately terminates the
permissions granted by this License. Upon termination, you must immediately
cease all use and distribution of the Software and any Derivative Works and
destroy all copies under your control.

You agree that a breach of this rider would cause irreparable harm and that
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rider, in addition to any other remedies available at law. To the maximum
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For purposes of this rider, "Affiliate" means any entity that directly or
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# Dave AI resource metadata

Creator / publisher: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/fireflies-pack/skills/fireflies-data-handling/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Legal, Operations, Product Management
Roles: Business Process Analyst, Compliance Officer, Data Analyst, ML / AI Engineer, Product Manager
Specialties: API
Tools: Fireflies.Ai
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 580f8fbcc2cdbf06088e6020e53e3bd9685b4f1134ebee6e6675663726085ac6
