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Skills · SkillData & AIDevOps & CloudCI/CDAgents & MCPCloud platformsReviewed

google-cloud-solution-build-deploy-agents

Designs, builds and deploys AI agents or multi-agent systems on Google Cloud, from requirements to architecture and deployment instructions.

Kind
Skill
Works with
Any agent
Source
Google skills (Google Cloud and more) @ 92776fbf3875
Path
skills/cloud/google-cloud-solution-build-deploy-agents/SKILL.md
Jobs
Planning, Implementation
Topics
CI/CD, Agents & MCP, Cloud platforms

Credit

Made by
google
Original
github.com/google/skills/blob/92776fbf3875a5ee7424124e398956a…
License
Apache-2.0

Listed by Skill Manifest; not made by us.

InstallInstall it with npx.
npx skills add google/skills
Install factsScanned 2 Nov 2026
Adds
  • .claude/skills/google-cloud-solution-build-deploy-agents/ (the skill folder)
  • 7 file(s) the skill refers to
Runs scripts
None found
Uses the network
None found
Needs secrets
None found
Source revision
92776fbf3875
Licence
Apache-2.0
Last activity
1 Nov 2026
Review
Reviewed

Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.

  • Only the main file is read; other files in the folder are not scanned
# Build and deploy AI agents on Google Cloud

This skill guides agents through the workflow of designing and implementing a
tailored multi-product solution in the cloud for a given workload, use case, or
requirement.

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read and follow the instructions in
[Usage Attribution](references/attribution.md).

## Workflow

The solution design and implementation workflow is divided into the following
phases:

*   **Phase 1: Requirements discovery and analysis**: Analyze the workload's
    requirements, constraints, dependencies, and current state.
*   **Phase 2: Solution design**: Build a technology stack, architecture, and
    deployment configuration for the workload based on Google Cloud design best
    practices and recommendations.
*   **Phase 3: Implementation plan**: Generate automation and instructions to
    deploy the solution.
*   **Phase 4: Solution validation**: Validate that the deployment meets the
    requirements of the workload.

Copy this checklist into your active task/plan artifact to track progress across
the four phases:
…