python-observability

SKILL.md

Instrument Python applications with structured logs, metrics, and traces. When something breaks in production, you need to answer "what, where, and why" without deploying new code.

Emit logs as JSON with consistent fields for production environments. Machine-readable logs enable powerful queries and alerts. For local development, consider human-readable formats.

Track latency, traffic, errors, and saturation for every service boundary.

구조화된 로깅, 메트릭, 분산 추적을 포함한 Python 관찰 가능성 패턴입니다. 로깅 추가, 메트릭 수집 구현, 추적 설정 또는 프로덕션 시스템 디버깅 시 사용합니다. 출처: wshobson/agents.

원본 보기