Google Cloud Agent Skills
Google Agent Skills catalog for AI agents working with Google Cloud, Gemini Enterprise Agent Platform, Gemini APIs, Skill Registry, Cloud Run, BigQuery, Firebase, GKE, Cloud SQL, AlloyDB, gcloud, auth, onboarding, and Well-Architected Framework guidance.
Open the source and read safety notes before installing.
Safety notes
- Google Cloud skills can create, update, delete, deploy, query, or configure cloud resources, datasets, IAM policies, service accounts, APIs, containers, jobs, and networking.
- The gcloud skill requires command validation and safety guardrails before invoking Google Cloud CLI commands; do not let agents improvise cloud commands from memory.
- Skill Registry guidance includes skill lifecycle management such as upload, update, and permanent delete operations; validate environment and approval before use.
- Cloud Run, GKE, BigQuery, Firebase, Cloud SQL, AlloyDB, and Gemini API workflows can create cost, expose endpoints, alter data, or change production behavior.
- The repository notes active development, so verify exact commands, product names, API availability, and launch-stage limits before production use.
Privacy notes
- Google Cloud workflows may expose project IDs, service account emails, OAuth tokens, API keys, ADC credentials, Terraform state, dataset names, table schemas, query text, logs, traces, prompts, model outputs, embeddings, and customer data.
- BigQuery, Firebase, Cloud SQL, AlloyDB, GKE, and Agent Platform workflows may process regulated or proprietary data; review data residency, IAM, retention, audit logging, and sharing rules before use.
- Gemini API and Agent Platform skills can send prompts, files, images, audio, video, tool inputs, structured outputs, cached contexts, and batch datasets to Google services.
- Keep credentials, project IDs when sensitive, private queries, logs, trace payloads, Terraform state, customer data, and generated datasets out of public prompts, issues, PRs, and screenshots.
Prerequisites
- AI coding assistant or skill host compatible with the Agent Skills standard and the skills CLI.
- Google Cloud project, credentials, billing, enabled APIs, IAM roles, and target region when a selected skill touches cloud resources.
- Current gcloud, bq, kubectl, Terraform, SDK, or product-specific tooling required by the selected Google Cloud workflow.
- Clear approval boundary before any agent runs cloud deployment, IAM, data, billing, registry, or destructive operations.
Schema details
- Install type
- package
- Reading time
- 8 min
- Difficulty score
- 80
- Troubleshooting
- Yes
- Breaking changes
- No
- Scope
- Source repo
- Skill type
- capability-pack
- Skill level
- expert
- Verification
- validated
- Verified at
- 2026-06-18
| Platform | Support | Install path |
|---|---|---|
| claude-code | Native | .claude/skills/<skill-name>/SKILL.md |
| codex | Native | .agents/skills/<skill-name>/SKILL.md |
| windsurf | Native | .windsurf/skills/<skill-name>/SKILL.md |
| gemini | Native | .gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md |
| cursor | Adapter | .cursor/rules/<skill-name>.mdc |
| cli | Manual | AGENTS.md or tool-specific context file |
Full copyable content
npx skills add google/skills
# After the prompt opens, choose the Google Cloud or Agent Platform skills
# that match the project: Gemini API, Skill Registry, Cloud Run, BigQuery,
# Firebase, GKE, auth, onboarding, gcloud, or Well-Architected guidance.About this resource
Google Cloud Agent Skills
google/skills is Google's Agent Skills catalog for Google products and
technologies, including Google Cloud and Gemini Enterprise Agent Platform. It
lets coding agents install focused guidance for Gemini API, Agent Platform
Skill Registry, Cloud Run, BigQuery, Firebase, GKE, Cloud SQL, AlloyDB,
Workload Manager, gcloud, authentication, onboarding, network observability,
and Google Cloud Well-Architected Framework reviews.
This entry is separate from Google Agents CLI Skills. google/agents-cli gives
agents an end-to-end ADK build/eval/deploy lifecycle, while google/skills
provides product-specific Google Cloud and Agent Platform capability packs that
can be installed alongside any other coding-agent workflow.
Knowledge Freshness
The README says the repository is under active development. Its current catalog includes Agent Platform APIs, Gemini API guidance, Google Cloud basics, auth/onboarding recipes, network observability, and Well-Architected Framework skills. Google Cloud APIs, product names, SDK recommendations, launch stages, IAM roles, pricing, quotas, regions, model names, and CLI flags change often.
Use these skills for source-backed Google workflow guidance, then verify exact commands, flags, permissions, data movement, and production constraints against the target Google Cloud project and current official docs before running changes.
Retrieval Sources
This listing is grounded in:
- The
google/skillsrepository README. - The public skills.sh listing for
google/skills. - Representative
SKILL.mdfiles for Agent Platform Skill Registry, Gemini API, gcloud, Cloud Run, and BigQuery. - The Apache-2.0 license text.
- Current GitHub repository metadata.
Core Workflow
Install the Google skills catalog:
npx skills add google/skills
Then choose the focused skill or skills for the task. For example:
- Gemini API on Agent Platform for multimodal generation, function calling, structured output, embeddings, context caching, Live API, and batch prediction.
- Skill Registry for discovering, uploading, updating, and managing Agent Platform skills.
- gcloud for safe Google Cloud CLI usage with command validation and data reduction rules.
- Cloud Run, BigQuery, Firebase, GKE, Cloud SQL, AlloyDB, Workload Manager, auth recipes, onboarding, network observability, or Well-Architected review.
Capability Scope
The README currently lists skills across these areas:
| Area | Example skills |
|---|---|
| Gemini Enterprise Agent Platform | Gemini API, Gemini Interactions API, Managed Agents API, Skill Registry API |
| Google Cloud basics | AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, Workload Manager |
| Recipes | Google Cloud onboarding, authentication, network observability |
| Well-Architected Framework | Security, reliability, cost optimization, operational excellence, performance, sustainability |
| CLI safety | gcloud command validation, non-interactive execution, filters, projections, and destructive-action guardrails |
The catalog also links to adjacent official Flutter and Dart skills repositories for teams working across Google application stacks.
Production Rules
Use these skills with strict cloud-change boundaries:
- Start with the narrowest product skill that matches the task.
- Validate Google Cloud authentication, target project, location, enabled APIs, IAM roles, billing, and quotas before running commands.
- Use current command help and official docs for CLI syntax instead of relying on memory.
- Require explicit approval before create, update, delete, deploy, IAM, network, billing, data export, registry, or production-impacting operations.
- Prefer read-only discovery with reduced output before making changes.
- Treat Agent Platform, Gemini API, BigQuery, Cloud Run, Firebase, GKE, Cloud SQL, AlloyDB, and Terraform actions as operational changes, not harmless examples.
- Record what project, region, resource, command, and validation result was used without leaking credentials or private data.
Use Cases
- Ask Codex to choose the right Gemini API setup for Agent Platform and avoid deprecated SDKs.
- Use Claude Code to inspect a Cloud Run deployment plan before running gcloud commands.
- Have an agent write or review BigQuery SQL, data ingestion, MCP usage, IAM, and AI/ML workflow guidance from source-backed skill references.
- Use Gemini CLI to prepare Google Cloud authentication and onboarding steps for a new project.
- Ask an agent to run a Well-Architected review for security, reliability, cost, performance, operations, or sustainability.
Source Review
- The README describes the repository as Agent Skills for Google products and technologies, including Google Cloud.
- The README documents installation with
npx skills add google/skills. - The available skills list includes Gemini API on Agent Platform, Gemini Interactions API, Managed Agents API, Skill Registry API, AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, Workload Manager, auth/onboarding recipes, network observability, and Well-Architected pillars.
- The Agent Platform Skill Registry skill covers skill discovery, lifecycle management, operation monitoring, and local skill generation.
- The Gemini API skill requires the unified Google Gen AI SDK and warns against legacy SDKs.
- The gcloud skill requires leaf-command validation, data reduction, explicit project/location scoping, non-interactive execution, and destructive-action authorization.
- The Cloud Run and BigQuery skills provide concrete prerequisites, roles, commands, and product-specific references.
- The license file identifies the repository as Apache-2.0.
Duplicate Review
Checked current content/skills/, content/tools/, content/mcp/, open pull
requests, and repository-wide content for google/skills, Google Cloud Agent
Skills, Gemini API skills, Agent Platform Skill Registry, Cloud Run skills,
BigQuery skills, Firebase skills, GKE skills, and gcloud skills. Existing
Google entries cover separate tools and MCP servers, including Google ADK,
Firebase MCP, and Google Agents CLI; no dedicated google/skills capability
pack, exact source URL duplicate, target file, or open duplicate PR was found.
Disclosure
Editorial listing. No paid placement or affiliate link is used. The upstream repository is Apache-2.0 licensed and states that it is under active development. Google Cloud, Gemini Enterprise Agent Platform, Gemini APIs, Firebase, BigQuery, Cloud Run, GKE, Cloud SQL, AlloyDB, and related services may have separate billing, terms, IAM, privacy, residency, retention, and launch stage constraints.
Source citations
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How it compares
Google Cloud Agent Skills side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
| Field | Google Cloud Agent Skills Google Agent Skills catalog for AI agents working with Google Cloud, Gemini Enterprise Agent Platform, Gemini APIs, Skill Registry, Cloud Run, BigQuery, Firebase, GKE, Cloud SQL, AlloyDB, gcloud, auth, onboarding, and Well-Architected Framework guidance. Open dossier | Dart Agent Skills Official Dart team Agent Skills for AI coding agents working on Dart unit tests, CLI apps, coverage, runtime errors, mocks, package conflicts, static analysis, Native Assets, FFI, ffigen, and pattern matching. Open dossier | Vercel Agent Skills Vercel Labs' official Agent Skills collection for AI coding agents working on Vercel deployments, React and Next.js performance, React Native, web design guidelines, writing guidelines, composition patterns, view transitions, CLI token workflows, and Vercel optimization audits. Open dossier | Anthropic Agent Skills Anthropic's public Agent Skills repository for Claude, with example skills, document skills, the Agent Skills specification pointer, a template skill, Claude Code plugin installation, Claude.ai usage guidance, and Claude API skill creation references. Open dossier |
|---|---|---|---|---|
| Trust | ||||
| Install risk | Review first | Review first | Review first | Review first |
| Notes | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ |
| Category | skills | skills | skills | skills |
| Source | source-backed | source-backed | source-backed | source-backed |
| Author | Dart Team | Vercel Labs | Anthropic | |
| Added | 2026-06-18 | 2026-06-18 | 2026-06-18 | 2026-06-18 |
| Platforms | Claude CodeCodexWindsurfGeminiCursorCLI | Claude CodeCodexWindsurfGeminiCursorCLI | Claude CodeCodexWindsurfGeminiCursorCLI | Claude CodeCodexWindsurfGeminiCursorCLI |
| Source repo | — | — | — | — |
| Safety notes | ✓Google Cloud skills can create, update, delete, deploy, query, or configure cloud resources, datasets, IAM policies, service accounts, APIs, containers, jobs, and networking. The gcloud skill requires command validation and safety guardrails before invoking Google Cloud CLI commands; do not let agents improvise cloud commands from memory. Skill Registry guidance includes skill lifecycle management such as upload, update, and permanent delete operations; validate environment and approval before use. Cloud Run, GKE, BigQuery, Firebase, Cloud SQL, AlloyDB, and Gemini API workflows can create cost, expose endpoints, alter data, or change production behavior. The repository notes active development, so verify exact commands, product names, API availability, and launch-stage limits before production use. | ✓Dart skills can modify source code, tests, pubspec dependencies, analysis options, generated mocks, coverage output, native hooks, FFI bindings, and package constraints. `dart fix --apply`, formatter runs, mock generation, build_runner, ffigen, and Native Assets hooks can create broad mechanical diffs; inspect changes before committing. Native Assets and FFI workflows may compile C/C++ code, run local toolchains, download precompiled binaries, and link dynamic or static libraries. Downloaded binaries should use cryptographic hash validation and offline fallbacks as the skill describes. Package conflict fixes can upgrade or downgrade dependencies and affect transitive package behavior across Dart and Flutter projects. | ✓The deploy-to-vercel and Vercel CLI token skills can guide agents toward git pushes, preview deployments, Vercel project linking, environment variable changes, and account-scoped CLI calls; keep human approval on those actions. The vercel-cli-with-tokens skill includes token-handling workflows. Prefer environment variables over command-line token flags and avoid echoing secrets into prompts, logs, screenshots, or public PRs. The vercel-optimize skill reads Vercel metrics, usage, project configuration, and code scan results; verify the linked project and team scope before collecting or acting on recommendations. The web-design-guidelines and writing-guidelines skills fetch current upstream rule documents at use time, so review fetched guidance before treating output as policy. React, Next.js, and React Native performance rules are strong defaults, but agents still need local tests, framework-version checks, and product-specific review before broad refactors. | ✓The repository is explicitly presented as demonstration and educational material; behavior available in Claude products can differ from repository examples. Document skills can read, transform, and create files such as PDFs, Word documents, PowerPoint decks, and spreadsheets, so review generated artifacts before sharing or publishing them. The MCP builder skill guides agents through creating MCP servers and evaluations; generated servers still need security review, least-privilege tool design, authentication review, and transport testing. The skill creator workflow can generate instructions, scripts, references, and assets; review all generated resources before installing them into an agent host. |
| Privacy notes | ✓Google Cloud workflows may expose project IDs, service account emails, OAuth tokens, API keys, ADC credentials, Terraform state, dataset names, table schemas, query text, logs, traces, prompts, model outputs, embeddings, and customer data. BigQuery, Firebase, Cloud SQL, AlloyDB, GKE, and Agent Platform workflows may process regulated or proprietary data; review data residency, IAM, retention, audit logging, and sharing rules before use. Gemini API and Agent Platform skills can send prompts, files, images, audio, video, tool inputs, structured outputs, cached contexts, and batch datasets to Google services. Keep credentials, project IDs when sensitive, private queries, logs, trace payloads, Terraform state, customer data, and generated datasets out of public prompts, issues, PRs, and screenshots. | ✓Dart projects may contain private package names, API schemas, service URLs, test fixtures, generated mocks, coverage paths, stack traces, native library names, and build logs. Runtime-error workflows can expose stack traces, local paths, active app state, logs, and user-input data from the running program. FFI and Native Assets workflows may include proprietary C/C++ source, platform-specific build settings, binary hashes, and downloaded artifact URLs. Keep credentials, private package registries, source paths when sensitive, proprietary native code, test data, and generated coverage reports out of public prompts, issues, PRs, and examples. | ✓Deployment and optimization workflows may expose project names, team slugs, deployment URLs, routes, metrics, usage details, billing signals, source paths, build configuration, environment variable names, and CLI account context. Keep VERCEL_TOKEN, VERCEL_ORG_ID, VERCEL_PROJECT_ID, API keys, environment values, claim URLs, deployment logs, and private preview URLs out of public artifacts unless intentionally disclosed. Design, writing, React, and performance reviews can reveal proprietary UI, product copy, documentation strategy, source code, routes, and business priorities to the configured model provider. | ✓Skill usage can expose documents, spreadsheets, slide decks, prompts, company workflows, brand guidelines, MCP designs, API details, and generated artifacts to Claude or the configured model/runtime. Do not upload or commit customer documents, regulated data, private brand assets, secrets, credentials, or unreleased business plans unless the environment and account policy allow that data. When creating custom skills, check bundled scripts, references, and assets for private data before sharing a repository, plugin, or ZIP archive. |
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| Claim | Unclaimed | Unclaimed | Unclaimed | Unclaimed |
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