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Google Workspace Gemini Automation Skill

Create useful Gemini-powered Google Workspace automations for docs, sheets, email triage, and internal workflow productivity.

by JSONbored·added 2026-04-10·
Claude CodeCodexWindsurfGeminiCursorCLI
HarnessClaude CodeCodexWindsurfGeminiCursorCLI
Level:advancedType:generalVerified:draft
Review first — review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Canonical URL
https://heyclau.de/entry/skills/google-workspace-gemini-automation
Source URLs
https://ai.google.dev/gemini-api/docs, https://github.com/JSONbored/awesome-claude/blob/main/content/skills/google-workspace-gemini-automation.mdx
Brand
Google
Brand domain
google.com
Brand asset source
brandfetch
Package URL
/downloads/skills/google-workspace-gemini-automation.zip
Package SHA256
2795143f0a54328d4335b4119fa51310480f6785dc02234b54d7738e85540db2
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.
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.
Platform compatibility
claude-code (native-skill), codex (native-skill), windsurf (native-skill), gemini (native-skill), cursor (adapter), cli (manual-context)
Author
JSONbored
Claim status
unclaimed
Last verified
2026-04-10

Decision playbook

Ready to evaluate for your workflow

Signals are comparatively strong, but you should still validate source, privacy posture, and package provenance for your environment.

Compare context
Selected

0

Current score

96

Baseline

—

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Complete

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done

  • Source provenance statusRequired

    Marked as first-party.

    Done

  • Metadata reviewed

    Registry metadata indicates a reviewed listing.

    Done

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done

  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done

  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Complete

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done

  • Package verification flag

    Package marked verified.

    Done

  • Checksum metadata

    SHA-256 hash is present.

    Done

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending

  • Baseline comparison available

    No baseline peer selected yet.

    Pending

  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

Package install

Copy-ready — paste the snippet to get started.

Install command

Provided

Config snippet

Not provided

Copy snippet

Provided

Prerequisites

3 to clear

Platforms

6 listed

Difficulty

71/100

Adoption plan

Balanced adoption plan

Current risk score 0/100. Use staged verification before broader rollout.

Risk 0

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done

  • Confirm metadata review state

    Listing has review metadata.

    Done

  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done

  • Review privacy notesRequired

    Privacy notes are present.

    Done

  • Verify package integrity metadata

    Package verification/checksum metadata is available.

    Done

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending

  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending

  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Required evidence gates are covered (6/6 signals complete).

Risk 0

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Present

Review metadata is present.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Present

Package integrity metadata is present.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required evidence gates are covered for this preset.

Decision timeline

Decision timeline · balanced

6/6 steps complete with no blocking gaps for this preset.

Risk 0

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is available.

Done

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is available.

Done

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

No required blockers for this timeline preset.

Prerequisite readiness

Prerequisite readiness

3 prerequisites to line up before setup. Have accounts and credentials ready first.

0/3 ready
Account & credentials2General1

Safety & privacy surface

Safety & privacy surface

2 safety and 2 privacy notes across 3 risk areas. Review closely: credentials & tokens.

3 areas
  • SafetyExecution & processesCan design automation for live browsers, accounts, workflows, or infrastructure; use staging targets and human approval before destructive or account-write actions.
  • SafetyCredentials & tokensKeep API tokens and service credentials least-privileged, and verify generated runbooks before scheduling or unattended execution.
  • PrivacyData retentionInputs and outputs can include browser state, account metadata, workflow payloads, infrastructure inventory, logs, and operational screenshots.
  • PrivacyCredentials & tokensRedact credentials, session data, customer records, internal hostnames, and private workspace details before sharing prompts or artifacts.

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.

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.

Prerequisites

  • Access to Google Workspace resources
  • Gemini API or platform integration credentials
  • Target business workflow with measurable success criteria

Schema details

Install type
package
Reading time
7 min
Difficulty score
71
Troubleshooting
Yes
Breaking changes
No
Package metadata
Package verified
Yes
SHA-256
2795143f0a54328d4335b4119fa51310480f6785dc02234b54d7738e85540db2
Skill and platform metadata
Skill type
general
Skill level
advanced
Verification
draft
Verified at
2026-04-10
Retrieval sources
https://ai.google.dev/gemini-api/docs
Tested platforms
ClaudeCodexOpenClawCursorWindsurfGemini
PlatformSupportInstall path
claude-codeNative.claude/skills/<skill-name>/SKILL.md
codexNative.agents/skills/<skill-name>/SKILL.md
windsurfNative.windsurf/skills/<skill-name>/SKILL.md
geminiNative.gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md
cursorAdapter.cursor/rules/<skill-name>.mdc
cliManualAGENTS.md or tool-specific context file
Full copyable content
# 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 controls

About this resource

Overview

This 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.

Compatibility

Native

  • Claude Code / Claude: native skill usage via SKILL.md.
  • Codex/OpenAI workflows: compatible with Agent Skills-style SKILL.md content as reusable workflow instructions.

Manual Adaptation

  • Gemini CLI: native skill usage via .gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md where supported.
  • Cursor: use the generated .cursor/rules/*.mdc adapter for project rules.
  • OpenClaw and similar agents: use the same skill content as a reusable prompt/workflow file when native skill import is unavailable.

Prerequisites

  • Defined source systems and destination artifacts
  • Data classification and privacy constraints
  • Human reviewers for quality-sensitive outputs

What This Skill Delivers

  • Workflow decomposition for Docs/Sheets/Gmail/Drive tasks
  • Prompt and schema patterns for reliable output structure
  • Quality gates and approval loops
  • Monitoring plan for failures, drift, and cost anomalies

How to Use This Skill

  1. Map workflow trigger, inputs, and output destination.
  2. Define target schema for generated content.
  3. Add policy checks for sensitive data.
  4. Add human review for high-impact decisions.
  5. Track execution outcomes and iterate prompts safely.

Troubleshooting

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.

Knowledge Freshness

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.

Retrieval Sources

Output Contract

  1. Return a concrete plan with implementation order.
  2. Provide production-ready commands/config/code snippets (not placeholders).
  3. Include explicit assumptions and unresolved risks.
  4. Include a verification checklist with pass/fail criteria.

Quality Gates

  • All commands are copy/paste ready.
  • Security-sensitive steps call out secret handling and least privilege.
  • Version-sensitive guidance cites current docs used.
  • Rollback path is included for risky changes.
  • Final output includes quick validation commands/tests.
#google-workspace#gemini#automation#productivity#ai-agents

Source citations

Add this badge to your README

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.

Listed on HeyClaude
[![Listed on HeyClaude](https://heyclau.de/badge/skills/google-workspace-gemini-automation.svg)](https://heyclau.de/entry/skills/google-workspace-gemini-automation)

How it compares

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
Google logoGoogle Workspace Gemini Automation Skill

Create useful Gemini-powered Google Workspace automations for docs, sheets, email triage, and internal workflow productivity.

Open dossier
Browser Agent Workflow Automation Skill

Build robust browser automation workflows for AI agents with deterministic selectors, retries, and safe action boundaries.

Open dossier
Google logoGoogle Agents CLI Skills

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 logoGoogle 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
Next steps
Open dossierAPI JSONOpen LLMOpen sourceNewsletterClaim listing
Open dossierAPI JSONOpen LLMOpen sourceNewsletterClaim listing
Open dossierAPI JSONOpen LLMOpen sourceNewsletterClaim listing
Open dossierAPI JSONOpen LLMOpen sourceNewsletterClaim listing
Trust
Review statusReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewed
Package trustDiffersPackage verified2026-04-10Package verified2026-04-10Package not verifiedPackage not verified
Source provenanceDiffersSource-backedNo submission linkSource-backedSource-backed
Submitter————
Install riskReview firstLow riskReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandGoogle logoGoogle—Google logoGoogleGoogle logoGoogle
Categoryskillsskillsskillsskills
Sourcefirst-partyfirst-partysource-backedsource-backed
AuthorJSONboredJSONboredGoogleGoogle
Added2026-04-102026-04-102026-06-182026-06-18
Platforms
Claude CodeCodexWindsurfGeminiCursorCLI
Claude CodeCodexWindsurfGeminiCursorCLI
Claude CodeCodexWindsurfGeminiCursorCLI
Claude CodeCodexWindsurfGeminiCursorCLI
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.
Prerequisites
  • Access to Google Workspace resources
  • Gemini API or platform integration credentials
  • Target business workflow with measurable success criteria
  • Target web workflow with clear start and success states
  • Ability to run browser automation in local or CI environment
  • Access to auth/session strategy if login is required
  • Coding assistant or skill host that can consume Agent Skills, or a local terminal where `uvx google-agents-cli setup` can install the CLI plus skills.
  • Python 3.11+, uv, and Node.js for the documented setup flow.
  • Google Cloud project, billing, credentials, APIs, IAM, region, and deployment target decisions when moving beyond local development.
  • Clear agent requirements before scaffolding: purpose, external APIs, tools, safety constraints, data sources, and deployment preference.
  • 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.
Install
curl -L https://heyclau.de/downloads/skills/google-workspace-gemini-automation.zip -o google-workspace-gemini-automation.zip && unzip -o google-workspace-gemini-automation.zip -d ./google-workspace-gemini-automation
curl -L https://heyclau.de/downloads/skills/browser-agent-workflow-automation.zip -o browser-agent-workflow-automation.zip && unzip -o browser-agent-workflow-automation.zip -d ./browser-agent-workflow-automation
npx skills add google/agents-cli
npx skills add google/skills
Config————
Citations
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