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/cloud-trace-querying

Query Cloud Trace spans, filter by latency thresholds or error status, correlate distributed traces with Cloud Logging, and diagnose latency bottlenecks across Google Cloud services. Use when investigating slow requests, analyzing trace hierarchies, or resolving latency

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$ npx -y skills add google/skills --skill cloud-trace-querying --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/cloud-trace-querying

Context preview

The summary Claude sees to decide when to auto-load this skill.

Query Cloud Trace spans, filter by latency thresholds or error status, correlate distributed traces with Cloud Logging, and diagnose latency bottlenecks across Google Cloud services. Use when investigating slow requests, analyzing trace hierarchies, or resolving latency

SKILL.md

cloud-trace-querying.SKILL.md
name: cloud-trace-querying
metadata:
  version: "1.0.0"
  category: CloudObservabilityAndMonitoring
description: >-
  Query Cloud Trace spans, filter by latency thresholds or error status,
  correlate distributed traces with Cloud Logging, and diagnose latency bottlenecks
  across Google Cloud services. Use when investigating slow requests, analyzing trace
  hierarchies, or resolving latency regressions. Do NOT use for querying non-GCP
  telemetry or database query optimization outside Cloud Trace.

Cloud Trace Querying Skill (`cloud-trace-querying`)

This skill equips the agent to interact with Cloud Trace by providing standard query patterns, diagnostic workflows for latency and errors, and tools to fetch and inspect trace hierarchies.

> [!IMPORTANT] > **AUTONOMOUS TOOL EXECUTION MANDATE**: > You MUST execute the tool scripts directly in bash to query telemetry. > Do NOT just describe query strings or write Python scripts. Run the provided bash tools directly and report the exact results.

Prerequisites & Setup

1. **Google Cloud SDK**: Verify `gcloud` is installed ([Installation Guide](https://docs.cloud.google.com/sdk/docs/install-sdk)). 2. **Authentication**: Authenticate CLI and application default credentials:

   gcloud auth login && gcloud auth application-default login

3. **Project & Billing**: Identify the target `<PROJECT_ID>` (from the user's prompt or via `bash scripts/get_trace_project/run.sh`), ensure an active billing account is attached, and configure the project if not already set:

   gcloud config set project <PROJECT_ID>

4. **API Enablement**: Verify Cloud Trace and Cloud Logging APIs are enabled:

   gcloud services enable cloudtrace.googleapis.com logging.googleapis.com

Quickstart Workflows

1. Identify Google Cloud Project ID

If the user specified a Google Cloud project ID in their prompt, use it.

If they did not, ALWAYS determine the Google Cloud project ID by running:

bash scripts/get_trace_project/run.sh

2. Search Traces (Latency & Errors)

To find traces matching specific criteria, such as a root span of `/v1/booking/book` with a duration of at least 1.5s:

bash scripts/search_traces/run.sh --filter 'root:/v1/booking/book latency:1.5s' --projects '<PROJECT_ID>'

*Note: `--filter` is required. To list traces without specific filtering, pass `--filter ''` or `--filter 'root:'`.* *Filter syntax: The Cloud Trace API uses `latency:<duration>` (such as `latency:1.5s` for duration >= 1.5s), which corresponds to "Span duration" in Trace Explorer.* *The script outputs JSON where each cluster's `examples` array contains sample trace objects with `trace_id`, `duration_seconds`, span count, and error status.*

3. Fetch Entire Trace Hierarchy

To view all spans and status codes/labels within a trace:

bash scripts/fetch_entire_trace/run.sh --trace-id '<TRACE_ID>' --project '<PROJECT_ID>'

4. Fetch Correlated Application Logs

To retrieve application log entries correlated with a trace ID:

bash scripts/fetch_related_logs/run.sh --trace-id '<TRACE_ID>' --trace-projects '<PROJECT_ID>'

*Application log entries are useful when inspecting stack traces, exception messages, and log events emitted during span execution. When diagnosing errors or service crashes, inspect the returned log entries for `severity: "ERROR"` to confirm root causes or uncover unhandled exceptions.* *Note: `fetch_related_logs` queries the default log scope (`_Default`), searching across configured log views in the target project. An empty response can occur if: (1) no log entries match the criteria, (2) the caller lacks IAM permissions to view the matching entries, or (3) matching entries reside in log views outside the searched log scope.*

5. Fetch Specific Trace Span

To inspect attributes and metadata of a single span within a trace:

bash scripts/fetch_trace_span/run.sh --trace-id '<TRACE_ID>' --span-id '<SPAN_ID>' --project '<PROJECT_ID>'

6. Generate Cloud Console Deep Links

To generate direct Cloud Console URLs for browser inspection of traces or correlated logs:

bash scripts/generate_links/run.sh --trace-id '<TRACE_ID>' --project '<PROJECT_ID>' [--span-id '<SPAN_ID>']

7. Format Output

  • **Terminal / CLI**: Render span trees as indented ASCII timelines using `|--`.
  • **UI Presentation**: Render as A2UI JSON graph structures when requested for UI.

8. Upstream Service Error Handling

If the Cloud Trace API or Cloud Logging API returns an upstream HTTP service error (such as `500 Internal Server Error`, `503 Service Unavailable`, or `GoogleAPICallError`), report the upstream service outage directly to the user. Do not attempt to inspect virtual environments, modify internal scripts, or debug local libraries.

Reference Documentation

  • **Master Index**: [Reference Documentation Index](./references/index.md)

Operational Workflows

  • [Troubleshoot Latency Workflow](./references/troubleshoot-latency.md)
  • [Correlated Logs Workflow](./references/correlated-logs.md)
  • [Trace Querying Decision Tree](./references/decision-tree.md)
  • [Console Deep Links](./references/console-deep-links.md)
  • [Workflows Overview](./references/workflows-overview.md)

Query Syntax & Tools

  • [Filter Syntax](./references/filter-syntax.md) (`root:`, `latency:`, `+span:`, `error:true`)
  • [API Limits and Constraints](./references/api-limits.md)
  • [Observability Analytics (BigQuery SQL)](./references/querying-observability-analytics.md)
  • [Cloud Trace MCP Tools](./references/querying-mcp.md)

Semantic Conventions

  • [Conventions Overview](./references/conventions.md)
  • [OpenTelemetry Core](./references/conventions-otel.md)
  • [OpenTelemetry HTTP](./references/conventions-otel-http.md)
  • [OpenTelemetry gRPC & RPC](./references/conventions-otel-grpc.md)
  • [OpenTelemetry GenAI](./references/conventions-otel-genai.md)
  • [GCP App Hub & Service Conventions]
Read more
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