This skill helps implement database audit logging for tracking changes and ensuring compliance. It is triggered when the user requests to "implement database audit logging", "add audit trails", "track database changes", or mentions "audit_log" in relation to a database. The skill provides options for trigger-based auditing, application-level logging, Change Data Capture (CDC), and parsing database logs. It generates a basic audit table schema and guides the user through selecting the appropriate auditing strategy.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: Implementing Database Audit Logging description: | This skill helps implement database audit logging for tracking changes and ensuring compliance. It is triggered when the user requests to "implement database audit logging", "add audit trails", "track database changes", or mentions "audit_log" in relation to a database. The skill provides options for trigger-based auditing, application-level logging, Change Data Capture (CDC), and parsing database logs. It generates a basic audit table schema and guides the user through selecting the appropriate auditing strategy.
Overview
This skill automates the process of setting up database audit logging. It helps users choose an appropriate auditing strategy and provides a basic audit table schema. It simplifies the implementation of robust audit trails for compliance and debugging purposes.
How It Works
- Identify Request: Detects user intent to implement database audit logging.
- Present Audit Strategies: Offers a selection of auditing strategies: Trigger-Based, Application-Level, CDC, and Database Logs.
- Generate Audit Table Schema: Provides a basic SQL schema for an audit log table.
When to Use This Skill
This skill activates when you need to:
- Implement database audit logging for compliance requirements.
- Track changes to specific database tables.
- Debug data inconsistencies by reviewing historical changes.
- Securely monitor database activity.
Examples
Example 1: Implementing Audit Logging for a Specific Table
User request: "Implement database audit logging for the users table."
The skill will:
- Present the available audit logging strategies (Trigger-Based, Application-Level, CDC, Database Logs).
- Provide the basic audit table schema.
- Guide the user to choose an appropriate method and tailor the schema to the "users" table.
Example 2: Adding Audit Trails for Compliance
User request: "Add audit trails to my database to meet compliance regulations."
The skill will:
- Present the available audit logging strategies.
- Provide the basic audit table schema.
- Assist in selecting a strategy that aligns with compliance requirements (e.g., CDC for real-time monitoring).
Best Practices
- Strategy Selection: Choose the audit logging strategy that best suits your application's needs and performance requirements. Trigger-based auditing can impact performance, while CDC might require more complex infrastructure.
- Data Sensitivity: Consider the sensitivity of the data being audited and implement appropriate security measures to protect the audit logs.
- Retention Policy: Define a clear retention policy for audit logs to manage storage and comply with regulatory requirements.
Integration
This skill can be used in conjunction with other database management plugins to automate the creation of triggers or configure CDC pipelines. It also integrates with logging and monitoring tools to provide a centralized view of database activity.
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
