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 可觀察性模式包括結構化日誌記錄、指標和分佈式跟踪。在添加日誌記錄、實施指標收集、設置跟踪或調試生產系統時使用。 來源：wshobson/agents。

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