cloud-logging-query-generation
Generates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language.
Skill by googleOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend, cloud, data
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/cloud-logging-query-generation
What's inside
- Skill name
cloud-logging-query-generation- Description
- Generates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.
- License
- Apache-2.0
- Metadata
- version: 1.0.2 · category: CloudObservabilityAndMonitoring
- Instructions
- 145 lines in SKILL.md · view on GitHub
Files (24)
- SKILL.md
- api_reference.md · references/
- attribution.md · references/
- query_app_engine.md · references/
- query_audit_logs.md · references/
- query_bigquery.md · references/
- query_cloud_functions.md · references/
- query_cloud_observability.md · references/
- query_cloud_run.md · references/
- query_cloud_source_repositories.md · references/
- query_cloud_sql.md · references/
- query_cloud_storage.md · references/
- query_cloud_tasks.md · references/
- query_compute_engine.md · references/
- query_dataflow.md · references/
- query_dataproc.md · references/
- query_deployment_manager.md · references/
- query_gke.md · references/
- query_iam.md · references/
- query_networking.md · references/
- query_security.md · references/
- query_service_usage.md · references/
- query_spanner.md · references/
- query_third_party.md · references/
SKILL.md (first lines)
# Generate Logging Query Language queries
Use this skill to generate correct Logging Query Language (LQL) queries for
Cloud Logging.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:cloud-logging-query-generation)"`
and append `agent-skills/1.0 (skill:cloud-logging-query-generation)` to `User-Agent` headers.
## Core rules
1. **Strict syntax requirements:**
* **Always use double quotes (`"`)** for string literals. Do not use
single quotes (`'`).
* Write boolean operators in all capitals: `AND`, `OR`, `NOT`.
* Always use parentheses to group terms and explicitly enforce precedence.
2. **Common pitfalls:**
* **Instance ID vs. Instance Name:** For the `gce_instance` resource type,
do NOT compare instance names to instance IDs. Instance names are
strings (for example, `my-instance`). Instance IDs are numeric. If you
only have the name, then search by instance name,
`SEARCH("my-instance")`, or use `resource.labels.instance_name` if that
label is available for the resource.
* **Resource Type Accuracy:** Do not guess resource types. You must look
up the correct `resource.type` value in the service-specific reference
files. For example, use `internal_http_lb_rule` for Internal HTTP(S)
Load Balancer rules when filtering by forwarding rule name or region
(instead of `http_load_balancer`).
3. **Output format and placeholders:**
* Output **only** the raw LQL query text. Do not include conversational
filler. Do not wrap the query in markdown code blocks unless explicitly
requested by the user. Valid LQL comments (using `--`) are allowed, and
are the ONLY acceptable way to include explanations or warnings.
* **Never block on missing variables.** If the user's request lacks
specific identifiers (like a project ID, instance name, or IP address),
do not ask them for clarification. If the variable is required for a
functional query (like a log bucket name for a regional log), insert an
uppercase placeholder string wrapped in angle brackets (for example,
`"<PROJECT_ID>"`). **CRITICALLY**: If you include a placeholder for a
variable the user omitted, it will act as an explicit filter that causes
logs to be missed. Therefore, you MUST omit the entire filter/line
containing the placeholder if the field is not strictly required. For
example, completely omit `resource.labels.instance_id="..."` if the user
didn't specify an instance, but you MUST include
`logName=".../projects/<PROJECT_ID>/..."` with a placeholder if
constructing a regional log bucket query where a project ID is strictly
required.
4. **Preferred fields:**
* Include `resource.type` and `log_id` restrictions when the query targets
specific Google Cloud services or resources. Global queries (for
example, "latest error logs") do not require these restrictions.
## Detailed reference
Refer to `references/api_reference.md` for LQL syntax rules, including
Operators, NULL handling, SEARCH, and Regex.
## Service reference files
Before generating a query, you MUST read the examples for the specific service.
LQL schemas and `resource.type` values are service-specific. **Do not stop
reading after finding the Base Schema in the file. You must verify if there are
specific requirements for state tracking (like `previousState`) or
resource-specific log IDs detailed in the paragraphs or specific query examples
below the schema block.**
**For the following services, read the exact file listed:**
* [App Engine](references/query_app_engine.md)
* [BigQuery](references/query_bigquery.md)
* [Cloud Deployment Manager](references/query_deployment_manager.md)
* [Cloud Functions](references/query_cloud_functions.md)
* [Cloud Observability (Monitoring, Logging, Trace)](references/query_cloud_observability.md)
* [Cloud Run](references/query_cloud_run.md)
* [Cloud Source Repositories](references/query_cloud_source_repositories.md)
* [Cloud Spanner](references/query_spanner.md)
* [Cloud SQL](references/query_cloud_sql.md)
* [Cloud Storage](references/query_cloud_storage.md)
* [Cloud Tasks](references/query_cloud_tasks.md)
* [Compute Engine (GCE)](references/query_compute_engine.md)
* [Dataflow](references/query_dataflow.md)
* [Dataproc](references/query_dataproc.md)
* [Kubernetes Engine (GKE)](references/query_gke.md)
* [IAM & Service Accounts](references/query_iam.md)
* [Networking (VPC, Load Balancing, and others)](references/query_networking.md)
* [Security (Audit logging)](references/query_security.md)
* [Service Usage (Enable/Disable API, Quotas)](references/query_service_usage.md)
* [Third Party (for example, Nginx, Apache)](references/query_third_party.md)
**For Google Cloud services that aren't listed:** If the service is not listed
above, write the LQL query based on your general knowledge.
## Query generation rules
1. **Resource Types:** Explicitly define the `resource.type` in your queries
when focusing on specific services. For some queries, you may need to search
across multiple types (for example, `resource.type=("bigquery_project" OR
"bigquery_dataset")`).
2. **Audit and Admin Logs:** If the user asks for audit logs, admin logs, API
logs, or logs about who created, updated, deleted, read, or accessed a
resource:
* You MUST read
[references/query_audit_logs.md](references/query_audit_logs.md) for the
correct `protoPayload` schema paths and common examples.
* If a specific example is not listed, guess the `protoPayload.methodName`
by combining the service and verb. When guessing, you MUST use the
scoped `SEARCH()` function (e.g., `SEARCH(protoPayload.methodName,From google/skills, Apache-2.0.
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Signals
- Stars
- 21,542
- Forks
- 1,821
- Open issues
- 21
- Last commit (this folder)
- Oct 19, 2026 (10 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.2
- License
- Apache-2.0
- Repository
- github.com/google/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
cloud-logging-query-generation skill. Agent Mart. https://agentmart.dev/skills/google-cloud-logging-query-generation (last updated 2026-10-24)