gcloud
Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure.
Skill by artanphn-dotcom
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Use cases: backend, devops, cloud, data
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What's inside
- Skill name
gcloud- Description
- Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure. Use when planning, generating, constructing, proposing, describing, or executing any gcloud CLI commands - including when answering questions about gcloud syntax, or formatting flags. Don't use when writing Google Cloud client library code or raw REST/gRPC API requests.
- License
- Apache-2.0
- Metadata
- version: 1.0.0 · category: CloudInfrastructureAndServices
- Instructions
- 261 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- cli-usage.md · references/
- mcp-usage.md · references/
SKILL.md (first lines)
# gcloud CLI Skill for AI Agents
> [!CAUTION]
>
> ### MANDATORY PRE-CONDITION: EXPLICIT LEAF-LEVEL SYNTAX VALIDATION
>
> All pre-existing knowledge of `gcloud` commands, flags, flag values, and
> positional argument syntax is **stale and prone to hallucination**.
>
> NEVER propose command parameters, output flag options, execute commands, OR
> outline step-by-step plans for any `gcloud` task before validating leaf-level
> syntax via `gcloud help <command>` (or including leaf-level help lookup as a
> mandatory step in the plan).
>
> **Mandatory Action Rules**:
>
> 1. **Direct Execution & Code Generation**: **ALWAYS** invoke `gcloud help
> <leaf_command>` (e.g. `gcloud help compute instances create` or `gcloud
> help sql instances create`) before proposing or executing the final
> command syntax.
>
> 2. **Planning & Strategy Queries**: When asked for a plan, strategy, or next
> steps to achieve a user goal (e.g., *"What is your plan to accomplish
> X..."*), the response **MUST explicitly include running `gcloud help
> <leaf_command>`** as Step 1 of the plan before proposing flags or
> executing commands.
>
> 3. **Non-Transitive Validation**: Parent command group help (e.g. `gcloud
> help compute`) is not sufficient for leaf-level syntax validation.
> Validation must occur at the specific leaf subcommand level.
>
> 4. **FORBIDDEN Web Search Fallback**: NEVER use `search_web`, web search, or
> external documentation search tools for gcloud CLI syntax. `gcloud help
> <leaf_command>` is the **EXCLUSIVE** authorized authority for command
> syntax.
>
> 5. **User Flag & Project Preservation**: When proposing intermediate command
> steps, **ALWAYS** preserve all user-specified flags (including
> `--project=<project_id>`) in the proposed response text.
>
> 6. **Mandatory Plan Template**: When generating a plan, the response **MUST**
> copy this exact 4-step structure:
>
> - **Step 1**: Syntax Validation via `gcloud help <leaf_command>`
> - **Step 2**: Parameter Verification (confirming required and optional
> flags, and explicitly checking if the `--dry-run` or `--validate-only`
> flag is supported)
> - **Step 3**: Dry-Run Command Proposal (If `--dry-run` or
> `--validate-only` is supported, there MUST be a `--dry-run` or
> `--validate-only` invocation before the next step.)
> - **Step 4**: Command Proposal & Authorization (If the command is on the
> "Prohibited Operations" denylist, state that autonomous execution is
> forbidden, and the user MUST be explicitly asked for authorization to
> proceed. If the command is NOT on the denylist, propose or proceed
> with execution, while following *ALL* "Execution Constraints" below.)
This document provides essential guidelines and best practices for AI agents
interacting with the Google Cloud SDK (`gcloud` CLI). Following these rules is
critical to avoid hallucinated commands, flags, flag values, and positional
argument syntax, prevent destructive actions, and minimize context window usage.
## Execution Modes
AI agents can interact with Google Cloud resources in two primary ways:
- **Direct CLI Execution**: Executing `gcloud` commands directly in a local or
automated shell environment. See [CLI Usage](references/cli-usage.md) for
installation, authentication flows, and configuration management.
- **Model Context Protocol (MCP)**: Invoking structured tools via the Cloud
CLI remote MCP server (`run_gcloud_command`). See
[MCP Usage](references/mcp-usage.md) for tool schemas, parameter rules, and
server configuration.
## Core Principles
### 1. Explicit Command Validation (Mandatory)
* **Action**: **ALWAYS** call `gcloud help <command>` for the *exact* command
that is intended to be run (e.g., `gcloud help compute instances create`).
* **Verify**: Ensure the command, flags, flag values, and positional argument
syntax are valid for that specific leaf command before attempting execution
or presenting plans. Validation is not transitive from parent groups.
### 2. Data Reduction Strategies (Mandatory)
Minimize the volume of data returned by `gcloud` to save context window space
and reduce latency. DO NOT execute any `list` command without including at least
one data reduction flag (`--limit`, `--filter`, or `--format`).
* **Projection**: Use `--format="json(key1, key2, ...)"` to select only the
specific fields needed for the task. To understand the advanced projection
and formatting syntax, refer to `gcloud topic projections` and `gcloud topic
formats`.
* **Limiting**: Use `--limit=N` to cap the number of resources returned.
* **Filtering**: Use `--filter` to narrow down results server-side. Prioritize
`:` for pattern matching and never quote the right side of the colon. Treat
the entire filter flag as a singular string without quoting or escaping
characters. To study the filter expression syntax, refer to `gcloud topic
filters`.
* **Schema Discovery**: Unconstrained resource lists can quickly exhaust the
context window with redundant data. To prevent this, discover a resource's
schema before executing queries. If unsure of the JSON key path for
projecting fields (`--format`) or filtering (`--filter`), run the targeted
resource's list command (if supported) with a single-item limit:
```bash
gcloud <GROUP> <RESOURCE> list --limit=1 --format=json
```
Examine this single instance's JSON structure to safely identify the correct
schema keys before requesting full or filtered datasets.
### 3. Execution Constraints
* **Single Commands**: Execute a single `gcloud` command at a time. No command
chaining or sequencing.From artanphn-dotcom/google-skills, Apache-2.0.
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- Last commit (this folder)
- Sep 21, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- Apache-2.0
- Repository
- github.com/artanphn-dotcom/google-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
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- 0.699score
gcloud
googleOfficial
Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure.
SkillAFreshness: A★ 21.5KClaude Code +9 - 0.365score
gcloud
googleOfficial
Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure.
SkillAFreshness: A★ 21.5KClaude Code +9
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Cite this page
gcloud skill. Agent Mart. https://agentmart.dev/skills/artanphn-dotcom-gcloud (last updated 2026-10-24)