Data Encryption

What it does

This skill enables AI agents to implement robust encryption strategies for protecting sensitive data at rest and in transit. It utilizes industry-standard cryptographic algorithms, including AES-256-GCM for symmetric encryption and RSA-4096 or ECC for asymmetric encryption. The skill also supports key management practices like secure storage (HSM, KMS) and key rotation.

When to use it

• Sensitive data storage scenarios
• Encrypting databases
• Protecting individual files
• Securing communication channels
• Meeting compliance requirements such as GDPR, HIPAA, or PCI-DSS
• Storing passwords securely
• Implementing end-to-end encryption

Key capabilities

• AES-256-GCM symmetric encryption
• RSA-4096 or ECC asymmetric encryption
• Key generation using cryptographically secure random bytes
• Key derivation from passwords (PBKDF2, Argon2)
• TLS 1.2+ for transit encryption
• Authenticated encryption implementation

Example prompts

• "Encrypt this file containing customer data."
• "Securely store these database credentials."
• "Implement end-to-end encryption for our messaging service."
• "Generate a secure key for encrypting sensitive information."

Tips & gotchas

• The skill provides reference guides and implementations in Node.js, Python, PostgreSQL, and TLS/SSL configuration. Refer to these resources for detailed implementation instructions.
• Avoid rolling your own cryptography solutions; rely on established libraries and practices.
• Always use secure key storage methods like Hardware Security Modules (HSMs) or Key Management Services (KMS).