Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
npx playbooks add skill 0xdarkmatter/claude-mods --skill python-observability-patterns
Built for developer workflow workflows, Python Observability Patterns helps AI coding agents observability patterns for python applications. triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
The 17-word prompt provides structured developer workflow guidance — covering detailed methodology and consistent output formats. Install it in one command.
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
Python Observability Patterns is a free developer workflow skill for AI coding agents. Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill 0xdarkmatter/claude-mods --skill python-observability-patterns in your terminal to install Python Observability Patterns into your Claude Code session. It works immediately after installation.
Python Observability Patterns is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Python Observability Patterns is completely free and open source. The full source is available on GitHub at https://github.com/0xdarkmatter/claude-mods/tree/main/skills/python-observability-patterns. You only need a subscription to the AI agent you use it with.
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