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.

Python 可观察性模式包括结构化日志记录、指标和分布式跟踪。在添加日志记录、实施指标收集、设置跟踪或调试生产系统时使用。 来源：wshobson/agents。

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