sentry-setup-tracing
Setup Sentry Tracing (Performance Monitoring) in any project. Use when asked to enable tracing, track transactions/spans, measure latency, or add performance monitoring. Supports JavaScript, Python, and Ruby.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-setup-tracing- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads sentry-setup-tracing automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Setup Sentry Tracing
Configure Sentry's performance monitoring to track transactions and spans.
Invoke This Skill When
- User asks to "enable tracing" or "add performance monitoring"
- User wants to track API response times, page loads, or latency
- User asks about
tracesSampleRateor custom spans
Important: The SDK versions, API names, and code samples below are examples. Always verify against docs.sentry.io before implementing, as APIs and minimum versions may have changed.
Quick Reference
| Platform | Min SDK | Enable | Custom Span |
|---|---|---|---|
| JS/Browser | 9.0.0+ | tracesSampleRate + browserTracingIntegration() | Sentry.startSpan() |
| Next.js | 9.0.0+ | tracesSampleRate in each runtime config file | Sentry.startSpan() |
| Node.js | 9.0.0+ | tracesSampleRate | Sentry.startSpan() |
| Python | 0.11.2+ | traces_sample_rate | @sentry_sdk.trace or start_span() |
| Ruby | 5.0.0+ | traces_sample_rate | Sentry.with_child_span() |
JavaScript Setup
Enable tracing
Sentry.init({
dsn: "YOUR_DSN",
tracesSampleRate: 1.0, // 1.0 = 100%, lower for production
integrations: [Sentry.browserTracingIntegration()], // Browser/React only
tracePropagationTargets: ["localhost", /^https:\/\/api\./],
});
Custom spans
// Async operation
const result = await Sentry.startSpan(
{ name: "fetch-user", op: "http.client" },
async () => {
return await fetch("/api/user").then(r => r.json());
}
);
// Nested spans
await Sentry.startSpan({ name: "checkout", op: "transaction" }, async () => {
await Sentry.startSpan({ name: "validate", op: "validation" }, validateCart);
await Sentry.startSpan({ name: "payment", op: "payment" }, processPayment);
});
Dynamic sampling
tracesSampler: ({ name, inheritOrSampleWith }) => {
if (name.includes("healthcheck")) return 0;
if (name.includes("checkout")) return 1.0;
return inheritOrSampleWith(0.1); // Respects parent sampling decision, falls back to 0.1
},
Python Setup
Enable tracing
sentry_sdk.init(
dsn="YOUR_DSN",
traces_sample_rate=1.0,
)
Custom spans
# Decorator
@sentry_sdk.trace
def expensive_function():
return do_work()
# Context manager
with sentry_sdk.start_span(name="process-order", op="task") as span:
span.set_data("order.id", order_id)
process(order_id)
Dynamic sampling
from sentry_sdk.types import SamplingContext
def traces_sampler(sampling_context: SamplingContext) -> float:
name = sampling_context.get("transaction_context", {}).get("name", "")
parent_sampled = sampling_context.get("parent_sampled")
if "healthcheck" in name: return 0
if "checkout" in name: return 1.0
if parent_sampled is not None: return float(parent_sampled) # Respect parent decision
return 0.1
sentry_sdk.init(dsn="YOUR_DSN", traces_sampler=traces_sampler)
Ruby Setup
Sentry.init do |config|
config.dsn = "YOUR_DSN"
config.traces_sample_rate = 1.0
end
Common Operation Types
op Value | Use Case |
|---|---|
http.client | Outgoing HTTP |
http.server | Incoming HTTP |
db / db.query | Database |
cache | Cache operations |
queue.task | Background jobs |
function | Function calls |
Sampling Recommendations
| Traffic | Rate |
|---|---|
| Development | 1.0 |
| Low (<1K req/min) | 0.5 - 1.0 |
| Medium (1K-10K) | 0.1 - 0.5 |
| High (>10K) | 0.01 - 0.1 |
Distributed Tracing
Configure tracePropagationTargets to send trace headers to your APIs:
tracePropagationTargets: ["localhost", "https://api.yourapp.com"],
For Next.js 14 App Router, add to root layout (not needed in Next.js 15+):
export function generateMetadata(): Metadata {
return { other: { ...Sentry.getTraceData() } };
}
Verification
After enabling tracing, trigger a traced operation (e.g., an HTTP request) and check the Sentry Performance dashboard for transactions. Custom spans should appear nested under the parent transaction.
Troubleshooting
| Issue | Solution |
|---|---|
| Transactions not appearing | Check tracesSampleRate > 0, verify DSN |
| Browser traces missing | Add browserTracingIntegration() |
| Distributed traces disconnected | Check tracePropagationTargets, CORS headers |
| Too many transactions | Lower sample rate, use tracesSampler to filter |
FAQ
What does the sentry-setup-tracing skill do?
Setup Sentry Tracing (Performance Monitoring) in any project. Use when asked to enable tracing, track transactions/spans, measure latency, or add performance monitoring. Supports JavaScript, Python, and Ruby.
How do I install sentry-setup-tracing?
Run npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-setup-tracing in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sentry-setup-tracing/ (personal) or .claude/skills/sentry-setup-tracing/ (project).
Which AI agents can use sentry-setup-tracing?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is sentry-setup-tracing safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains sentry-setup-tracing?
It is published by getsentry in getsentry/sentry-agent-skills, and it is an official skill from the maker of the technology it covers. It has 253 recorded installs.
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