python-observability
python observability
What it does
- Adding structured logging to applications
- Implementing metrics collection with Prometheus
- Setting up distributed tracing across services
- Propagating correlation IDs through request chains
- Debugging production issues
- Building observability dashboards
Requirements & configuration
- 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.
Configuration: DEBUGINFOWARNINGERROR
Derived from the skill's own SKILL.md documentation · extracted 2026-07-23
python-observability FAQ
What does the python-observability skill do?
Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems. Adding structured logging to applications Implementing metrics collection with Prometheus
What does python-observability require?
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. Configuration keys: DEBUG, INFO, WARNING, ERROR.
How do I install python-observability?
Run: npx -y skills add https://github.com/wshobson/agents --skill python-observability --agent claude-code — the source lives at github.com/wshobson/agents.
Maintain python-observability?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/skills/wshobson-agents-python-observability?ref=badge) npx agentictools info skills/wshobson-agents-python-observability The second line is the CLI lookup for this page — handy in READMEs and docs.
