Use this to catch an LLM app silently getting worse in production - quality dropping, cost creeping up, inputs shifting away from what you tested. Trigger on "monitor my LLM in production", "alert me when quality drops", "detect drift", "my app got worse and I didn't notice", "set up monitoring/alerting for my AI app". Alert on the signals that actually move, not vanity metrics.
How to install set-up-drift-alerts?
contextjet-ai/awesome-llm-observability/set-up-drift-alerts
$npx -y skills add contextjet-ai/awesome-llm-observability --skill set-up-drift-alertsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/contextjet-ai/awesome-llm-observability" --skill "contextjet-ai/awesome-llm-observability/set-up-drift-alerts"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/contextjet-ai/awesome-llm-observability" that are relevant to the current task. Run `npx skills add "https://github.com/contextjet-ai/awesome-llm-observability"` and select the relevant skills, then follow their instructions.
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