Create useful Gemini-powered Google Workspace automations for docs, sheets, email triage, and internal workflow productivity.
Open the source and read safety notes before installing.
Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.
Decision playbook
Signals are comparatively strong, but you should still validate source, privacy posture, and package provenance for your environment.
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No baseline selected
No major trust-signal divergence detected in the current selection.
Confirm ownership and provenance before trusting install instructions.
Source link availableRequired
Open the canonical repository and verify ownership.
Source provenance statusRequired
Marked as first-party.
Metadata reviewed
Registry metadata indicates a reviewed listing.
Validate risk disclosures before installation or API wiring.
Safety notes presentRequired
Review the listed safety guidance before running commands.
Privacy notes presentRequired
Review data handling notes before connecting accounts or secrets.
Trust level risk gateRequired
Trust level does not block evaluation.
Check package metadata and artifact integrity signals.
Install payload available
Install or copy payload is available for review.
Package verification flag
Package marked verified.
Checksum metadata
SHA-256 hash is present.
Use compare context to validate trade-offs before adoption.
Compare tray has multiple entries
Add at least one more entry to compare trust differences.
Baseline comparison available
No baseline peer selected yet.
Diverging trust signals identified
No major trust-signal divergence found.
Setup at a glance
Copy-ready — paste the snippet to get started.
Adoption plan
Current risk score 0/100. Use staged verification before broader rollout.
Validate source and review signals before any execution.
Confirm source provenanceRequired
Source URL/provenance metadata is present.
Confirm metadata review state
Listing has review metadata.
Verify install payload
Install/config payload exists and can be inspected.
Confirm safety, privacy, and package integrity signals.
Review safety notesRequired
Safety notes are present.
Review privacy notesRequired
Privacy notes are present.
Verify package integrity metadata
Package verification/checksum metadata is available.
Adopt in controlled steps based on the selected plan.
Run in isolated sandbox firstRequired
Use a constrained sandbox and observe behavior across multiple tasks.
Roll out graduallyRequired
Roll out to a small cohort before wider usage.
Set monitoring and fallback
Define rollback path and monitor errors after adoption.
Evidence readiness
Required evidence gates are covered (6/6 signals complete).
Source repository/provenance is listed.
Required in this preset
Review metadata is present.
Required in this preset
Safety notes are present.
Required in this preset
Privacy notes are present.
Optional in this preset
Package integrity metadata is present.
Optional in this preset
Install payload is available.
Required in this preset
Required evidence gates are covered for this preset.
Decision timeline
6/6 steps complete with no blocking gaps for this preset.
triage
Source/provenance metadata is available.
triage
Review metadata is available.
verify
Safety notes are available.
verify
Privacy notes are available.
verify
Package integrity metadata is available.
rollout
Install payload is available.
No required blockers for this timeline preset.
Prerequisite readiness
3 prerequisites to line up before setup. Have accounts and credentials ready first.
Safety & privacy surface
2 safety and 2 privacy notes across 3 risk areas. Review closely: credentials & tokens.
| 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 |
# Trigger
"Apply the Google Workspace Gemini automation skill to this process."
# Required output
1) Automation architecture and data flow
2) Prompt/template design with quality checks
3) Approval and exception handling
4) Monitoring and cost controlsThis skill helps AI agents build practical Google Workspace automations using Gemini. It focuses on workflows teams actually run: reporting, triage, routing, summarization, and structured content generation.
SKILL.md.SKILL.md content as reusable workflow instructions..gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md where supported..cursor/rules/*.mdc adapter for project rules.Issue: Output quality varies by run
Fix: Tighten schema constraints and add post-generation validation checks.
Issue: Automation creates noisy or irrelevant docs
Fix: Refine source filtering and enforce clear acceptance criteria.
Issue: Costs rise unexpectedly
Fix: Add workload bucketing and caching for repeat context segments.
Treat tooling details as time-sensitive. Re-validate APIs, limits, pricing, auth models, and deployment flags immediately before implementation. If docs conflict with prior memory, follow current official docs and release notes.
Show that Google Workspace Gemini Automation Skill is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.
[](https://heyclau.de/entry/skills/google-workspace-gemini-automation)Google Workspace Gemini Automation Skill side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
2 trust signals differ across this comparison (Package trust, Source provenance).
| Field | Create useful Gemini-powered Google Workspace automations for docs, sheets, email triage, and internal workflow productivity. Open dossier | Build robust browser automation workflows for AI agents with deterministic selectors, retries, and safe action boundaries. Open dossier | Google Agents CLI skill suite for coding agents that build, scaffold, evaluate, deploy, publish, and observe ADK agents on Gemini Enterprise Agent Platform, Agent Runtime, Cloud Run, GKE, and Google Cloud. Open dossier | 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 |
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| Next steps | ||||
| Trust | ||||
| Review status | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed |
| Package trustDiffers | Package verified2026-04-10 | Package verified2026-04-10 | Package not verified | Package not verified |
| Source provenanceDiffers | Source-backed | No submission link | Source-backed | Source-backed |
| Submitter | — | — | — | — |
| Install risk | Review first | Low risk | Review first | Review first |
| Notes | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ |
| Brand | — | |||
| Category | skills | skills | skills | skills |
| Source | First-party | First-party | Source-backed | Source-backed |
| Author | JSONbored | JSONbored | ||
| Added | 2026-04-10 | 2026-04-10 | 2026-06-18 | 2026-06-18 |
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| Source repo | — | — | — | — |
| Safety notes | ✓Can design automation for live browsers, accounts, workflows, or infrastructure; use staging targets and human approval before destructive or account-write actions. Keep API tokens and service credentials least-privileged, and verify generated runbooks before scheduling or unattended execution. | ✓Can design automation for live browsers, accounts, workflows, or infrastructure; use staging targets and human approval before destructive or account-write actions. Keep API tokens and service credentials least-privileged, and verify generated runbooks before scheduling or unattended execution. | ✓The skills intentionally guide agents through scaffold, eval, deploy, publish, CI/CD, infrastructure, datastore, and observability workflows that can create or modify cloud resources. Deployment and infrastructure commands may provision service accounts, IAM bindings, Terraform resources, Cloud Run services, Agent Runtime deployments, GKE resources, Artifact Registry images, Secret Manager entries, and CI/CD runners. The workflow skill explicitly requires clarifying goals and writing a spec before scaffolding a new project; skipping that step can create wrong infrastructure or unsafe agent behavior. Evaluation guidance may invoke LLM-as-judge, synthetic datasets, and prompt optimization; treat cost, data exposure, and nondeterminism as production concerns. Do not run deploy, publish, infrastructure, datastore, or CI/CD commands without explicit human approval and a known Google Cloud target. | ✓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 | ✓Inputs and outputs can include browser state, account metadata, workflow payloads, infrastructure inventory, logs, and operational screenshots. Redact credentials, session data, customer records, internal hostnames, and private workspace details before sharing prompts or artifacts. | ✓Inputs and outputs can include browser state, account metadata, workflow payloads, infrastructure inventory, logs, and operational screenshots. Redact credentials, session data, customer records, internal hostnames, and private workspace details before sharing prompts or artifacts. | ✓Agents CLI projects can contain Google Cloud credentials, AI Studio keys, Secret Manager names, service account emails, project IDs, regions, Terraform state, eval traces, prompts, tool outputs, logs, traces, user data, embeddings, and datastore contents. Eval artifacts and observability exports can include full prompts, tool calls, responses, failure rationales, trace IDs, and private application data. Publishing to Gemini Enterprise, deploying to Agent Runtime, Cloud Run, or GKE, and enabling analytics can move agent traffic into Google Cloud services subject to separate terms and access controls. Keep project IDs, credentials, Terraform state, traces, eval datasets, user data, private prompts, and secret names out of public issues, PRs, examples, and screenshots. | ✓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. |
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| Config | — | — | — | — |
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| Claim | Unclaimed | Unclaimed | Unclaimed | Unclaimed |
Design production-ready browser agent workflows with reliable selectors, guardrails, and replayable runbooks.
Skills and CLI commands that turn Claude Code, Codex, Gemini CLI, and other coding agents into Google ADK and Agent Platform builders.
Google product skills for Claude Code, Codex, Gemini CLI, and other agents covering Agent Platform, Gemini API, Cloud Run, BigQuery, Firebase, GKE, and gcloud workflows.
Source-backed guides for putting this to work.
Set autoMode.hard_deny rules to block risky actions in auto mode.
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