Axiom Display Performance

The axiom-display-performance skill enables AI agents to retrieve and present performance metrics directly from Axiom, a cloud-native observability platform. It allows agents to query logs, traces, and metrics to answer questions about application health, error rates, or resource utilization in real time. This capability transforms raw telemetry data into actionable insights for automated monitoring and debugging workflows.

When to use it

• Investigating sudden spikes in server latency or error counts without manual log inspection.
• Generating daily operational reports by summarizing key performance indicators from the last 24 hours.
• Debugging production incidents by correlating specific errors with system metrics like CPU usage or memory consumption.
• Validating that recent deployments have not introduced regressions in application response times.

Key capabilities

• Querying logs, traces, and metrics within the Axiom platform.
• Retrieving real-time performance data for specific services or time ranges.
• Formatting complex telemetry results into readable summaries for agents.

Example prompts

• "Show me the error rate for the payment service over the last hour."
• "What were the peak memory usage levels during yesterday's traffic surge?"
• "Summarize the top 5 most frequent errors in our logs from the past week."

Tips & gotchas

Ensure your AI agent has the necessary API permissions to access Axiom data before attempting queries. Performance insights are only as accurate as the underlying telemetry; incomplete logging or missing metrics will result in limited analysis.