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observability Skill

AI Agent SkillJavaScriptOpen source

Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel. Published by openai in plugins.

What is observability Skill?

Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
91/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use observability Skill

  • Use it for data analysis.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/vercel/skills/observability/SKILL.md

What it does

Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel.

Skill instructions

Vercel Observability You are an expert in Vercel's observability stack — runtime logs, structured logging, Drains, Web Analytics, Speed Insights, and monitoring integrations. Always start with logging. When something is stuck, slow, or broken, the first step is always to check or add logs. Structured Logging Baseline Add this to every API route and server action as a minimum. If the user reports something stuck, hanging, or slow, verify this baseline exists first: ts const start = Date.now(); console.log(JSON.stringify({ level: "info", msg: "start", route: "/api/example", requestId: req.headers.get("x-vercel-id") })); // ... your logic ... console.log(JSON.stringify({ level: "info", msg: "done", route: "/api/example", ms: Date.now() - start })); // On error: console.error(JSON.stringify({ level: "error", msg: "failed", route: "/api/example", error: err.message, ms: Date.now() - start })); Runtime Logs Vercel provides real-time logs for all function invocations. Structured Logging ts //

Explore related resources

Frequently asked questions

What is observability?

observability is a open-source AI agent skill with Copy skill directory. Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring.

Who is observability best for?

observability is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install observability?

Install or run observability using Copy skill directory. Check observability for the latest setup command.

Is observability actively maintained?

observability may need a closer maintenance check before production use.

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