Can I use this for compliance audits?

Absolutely. The skill includes a dedicated audit logger for sensitive operations like authentication attempts and data exports to satisfy SOC 2 and other compliance requirements.

Does it support distributed tracing?

Yes, it manages correlation ID propagation via the X-Request-ID header to allow tracking of a single request across multiple microservices.

What logging libraries does this skill support?

It is compatible with popular structured logging libraries like Pino and Winston for Node.js, structlog for Python, and Logback for Java.

How does this skill handle sensitive data?

It implements a PII redactor utility that masks sensitive fields like passwords, tokens, and SSNs based on configurable field-path patterns before they reach the logs.

Where can I send the logs generated by this skill?

The logs are output in structured JSON format, making them ready for ingestion into ELK Stack (Elasticsearch), Grafana Loki, or AWS CloudWatch Logs.

API Request Logging & Monitoring

Name: API Request Logging & Monitoring
Author: jeremylongshore

byjeremylongshore

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2,024

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Analíticas y Monitorización

Implements structured API logging with correlation IDs, performance metrics, and automated PII redaction for secure observability.

This skill enables Claude to architect and implement robust API logging systems designed for distributed environments. It sets up structured JSON logging using industry standards like Pino or Winston, ensuring all requests include unique correlation IDs for end-to-end tracing. The skill prioritizes security and compliance by integrating automated PII redaction and dedicated security audit trails, making it ideal for developers building production-grade APIs that require high observability in platforms like ELK Stack, Loki, or CloudWatch.

Características Principales

01Structured JSON logging for ELK/CloudWatch integration

02Response time and performance metric tracking

032,024 GitHub stars

04Automatic correlation ID generation and propagation

05Security audit logging for sensitive operations

06Configurable PII redaction to prevent sensitive data leaks

Casos de Uso

01Enforcing SOC 2 compliance through automated security audit trails for sensitive operations.

02Implementing distributed tracing across microservices using X-Request-ID headers.

03Debugging production API errors with detailed, redacted request/response logs.

Características Principales

01Structured JSON logging for ELK/CloudWatch integration

02Response time and performance metric tracking

032,024 GitHub stars

04Automatic correlation ID generation and propagation

05Security audit logging for sensitive operations

06Configurable PII redaction to prevent sensitive data leaks

Casos de Uso

01Enforcing SOC 2 compliance through automated security audit trails for sensitive operations.

02Implementing distributed tracing across microservices using X-Request-ID headers.

03Debugging production API errors with detailed, redacted request/response logs.