Individual skill
logging-api-requests
Monitor and log API requests with correlation IDs, performance metrics, and security audit trails. Use when auditing API requests and responses. Trigger with phrases like "log API requests", "add API logging", or "track API calls".
skills/.curated/logging-api-requests/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- api Declared skill tag
- security Declared skill tag
- monitoring Declared skill tag
- performance Declared skill tag
- security Derived category
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SKILL.mdcore · 5,868 bytesreferences/errors.mddoc · 1,059 bytesreferences/examples.mddoc · 4,805 bytesreferences/implementation.mddoc · 1,564 bytes
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# Logging API Requests
## Overview
Implement structured API request logging with correlation IDs, performance timing, security audit trails, and PII redaction. Capture request/response metadata in JSON format suitable for aggregation in ELK Stack, Loki, or CloudWatch Logs, enabling debugging, performance analysis, and compliance auditing across distributed services.
## Prerequisites
- Structured logging library: Pino or Winston (Node.js), structlog (Python), Logback with JSON encoder (Java)
- Log aggregation system: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana Loki, or CloudWatch Logs
- Correlation ID propagation mechanism (middleware-injected or from incoming `X-Request-ID` header)
- PII data classification for the API domain (which fields contain personal data requiring redaction)
- Log retention and rotation policy defined per compliance requirements
## Instructions