This is a comprehensive wizard for setting up Sentry in Python projects. It detects your framework (Django, Flask, FastAPI, Celery, etc.), scans for AI libraries like OpenAI or LangChain, then walks you through a complete configuration covering error monitoring, tracing, profiling, logging, and cron monitoring. The opinionated approach means it recommends specific sample rates and init locations rather than asking you to figure it out. Useful when you need full observability fast and don't want to piece together docs for every integration. The detection phase is smart enough to spot task queues and companion frontends, so it configures multi-process setups correctly. Best for greenfield setup or migrating from basic error tracking to full instrumentation.
npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-python-sdk