# ns-cpu-spike-analysis

> Claude/Codex skill by [@nodesource](https://omgskills.com/library/nodesource/index.md) · 0 stars · Updated 2026-09-16

Diagnoses high CPU or slow execution in a Node.js app using supplied evidence or N|Solid CPU metrics/profiles. Use when the user reports CPU spike, high CPU percent, slow endpoint/function, event loop blocking, flamegraph/profile analysis, hot loop, or asks why an app is slow. Prefer existing asset IDs, summaries, trace data, or local profiles before capturing a new profile.

## Install

```sh
git clone https://github.com/nodesource/nsolid-skills-plugin /tmp/nsolid-skills-plugin && ln -s /tmp/nsolid-skills-plugin/skills/ns-cpu-spike-analysis ~/.claude/skills/ns-cpu-spike-analysis
```

## From README

Use Provided Evidence First Treat the prompt content as primary evidence. Parse any provided app name, agent ID, hostname, time window, asset ID, local file path, CPU summary, flamegraph excerpt, hot function list, or stack trace before calling tools. If the prompt already includes an asset ID, local .cpuprofile path, or structured CPU summary, analyze that evidence first instead of starting with information-dashboard or metrics-historic. If the prompt is a telemetry alert such as "CPU spike 121.1% in app X", use that app name as authoritative scope and immediately run the live workflow: identify the hottest connected agent inside that app, capture a 30-second CPU profile, summarize it, download it, and fetch runtime code when possible. In telemetry-alert mode, do not stop after rediscovering the same spike and do not ask for capture approval unless the prompt explicitly says read-only, offline, or no-capture.

## Links

- HTML page: https://omgskills.com/library/nodesource/nsolid-skills-plugin/skills/ns-cpu-spike-analysis/
- GitHub: https://github.com/nodesource/nsolid-skills-plugin
- Author: [@nodesource](https://omgskills.com/library/nodesource/index.md)

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