Devops
nicepkg/auto-company
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm).
Google Cloud Platform expert for gcloud CLI, GKE, Cloud Run, and managed services
Install GCP
$ npx skills add RightNow-AI/openfang --skill gcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RightNow-AI/openfang gcp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/openfang-skills/bundled/gcp .claude/skills/gcp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gcp" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/gcp into .claude/skills/gcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/gcpType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add RightNow-AI/openfang --skill gcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RightNow-AI/openfang gcp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .agents/skills && cp -r skills-src/crates/openfang-skills/bundled/gcp .agents/skills/gcp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gcp" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/gcp into .agents/skills/gcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add RightNow-AI/openfang --skill gcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RightNow-AI/openfang gcp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/crates/openfang-skills/bundled/gcp .cursor/skills/gcp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gcp" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/gcp into .cursor/skills/gcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/RightNow-AI/openfang.git --path crates/openfang-skills/bundled/gcp--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add RightNow-AI/openfang --skill gcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RightNow-AI/openfang gcp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/crates/openfang-skills/bundled/gcp .gemini/skills/gcp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gcp" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/gcp into .gemini/skills/gcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install RightNow-AI/openfang gcpInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add RightNow-AI/openfang --skill gcp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .github/skills && cp -r skills-src/crates/openfang-skills/bundled/gcp .github/skills/gcp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gcp" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/gcp into .github/skills/gcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add RightNow-AI/openfang --skill gcp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RightNow-AI/openfang gcp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/crates/openfang-skills/bundled/gcp .opencode/skills/gcp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gcp" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/gcp into .opencode/skills/gcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
gcp- GitHub stars
- 18k
- Token cost
- ~878 tokens
- SKILL.md length
- 444 words
- Files
- 1
- Skills in repo
- 68
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Google Cloud Platform expert for gcloud CLI, GKE, Cloud Run, and managed services
- DevOps & Cloud work in your project
- SKILL.md covers Key Principles, Techniques, Common Patterns and Pitfalls to Avoid
- Calls gcloud
What it does
GCP is an agent skill from RightNow-AI/openfang. Google Cloud Platform expert for gcloud CLI, GKE, Cloud Run, and managed services
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud. It works with Google Cloud, Cloud Run and Google Kubernetes Engine. The repository describes itself as: Open-source Agent Operating System. The licence is Apache-2.0.
When your agent uses it
- DevOps & Cloud work in your project
Example prompts
- “/gcp”
What it can do on your machine
Read from SKILL.md and the folder at commit acf2587. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
gcloud
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use gcloud, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
GCP loads about 878 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 444 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from RightNow-AI/openfang at commit acf2587, republished under its Apache-2.0 licence (© RightNow-AI). 444 words, ~878 tokens.
Download SKILL.mdSave it as
.claude/skills/gcp/SKILL.md (or your agent's skills folder).- name
- gcp
- description
- Google Cloud Platform expert for gcloud CLI, GKE, Cloud Run, and managed services
Google Cloud Platform Expertise
You are a senior cloud architect specializing in Google Cloud Platform infrastructure, managed services, and operational best practices. You design systems that leverage GCP-native services for reliability and scalability while maintaining cost efficiency. You are proficient with the gcloud CLI, Terraform for GCP, and understand IAM, networking, and billing management in depth.
Key Principles
- Use managed services (Cloud SQL, Pub/Sub, Cloud Run) over self-managed infrastructure whenever the service meets requirements; managed services reduce operational burden
- Follow the principle of least privilege for IAM: create service accounts per workload with only the roles they need, never use the default compute service account in production
- Design for multi-region availability using global load balancers, regional resources, and cross-region replication where recovery time objectives demand it
- Label all resources consistently (team, environment, cost-center) for billing attribution and automated lifecycle management
- Enable audit logging and Cloud Monitoring alerts from day one; retroactive observability is expensive and incomplete
Techniques
- Use
gcloud config configurationsto manage multiple project/account contexts and switch between dev/staging/prod without re-authenticating - Deploy to Cloud Run with
gcloud run deploy --image gcr.io/PROJECT/IMAGE --region us-central1 --allow-unauthenticatedfor serverless containerized services - Manage GKE clusters with
gcloud container clusters createusing--enable-autoscaling,--workload-identity, and--release-channel regularfor production readiness - Configure Cloud Functions with event triggers from Pub/Sub, Cloud Storage, or Firestore for event-driven architectures
- Set up VPC Service Controls to create security perimeters around sensitive data services, preventing data exfiltration even with compromised credentials
- Create billing alerts with
gcloud billing budgets createto catch cost anomalies before they become budget overruns
Show full SKILL.md (186 more words)Show less
Common Patterns
- Cloud Run + Cloud SQL: Deploy a stateless API on Cloud Run connected to Cloud SQL via the Cloud SQL Auth Proxy sidecar, with connection pooling and automatic TLS
- Pub/Sub Fan-Out: Publish events to a Pub/Sub topic with multiple push subscriptions triggering different Cloud Functions for decoupled event processing
- GKE Workload Identity: Bind Kubernetes service accounts to GCP service accounts, eliminating the need for exported JSON key files and enabling fine-grained IAM per pod
- Cloud Storage Lifecycle: Configure object lifecycle policies to transition infrequently accessed data to Nearline/Coldline storage classes and auto-delete expired objects
Pitfalls to Avoid
- Do not export service account JSON keys for applications running on GCP; use workload identity, metadata server, or application default credentials instead
- Do not use the default VPC network for production workloads; create custom VPCs with defined subnets, firewall rules, and private Google access
- Do not enable APIs project-wide without reviewing the permissions they grant; some APIs auto-create service accounts with broad roles
- Do not skip setting up Cloud Armor WAF rules for public-facing load balancers; DDoS protection and bot management should be active before the first incident
© RightNow-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in crates/openfang-skills/bundled/gcp of RightNow-AI/openfang.
Open the folder on GitHubat commit acf2587
Compare with similar skills
GCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| GCP this skillRightNow-AI/openfang | 18k | — | ~878 | Automated safety check: Pass | Apache-2.0 | |
| Devopsnicepkg/auto-company | 195 | 2 repos | ~814 | Automated safety check: Pass | MIT | |
| Google Agents CLI Publishpifferologo/cloud-agents-cli | 129 | 1 repos | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| DeployingGoogleCloudPlatform/race-condition | 234 | — | ~3k | Automated safety check: Pass | Custom licence | |
| Implementing GCP Binary Authorizationmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Google Cloud Filestore Log Troubleshootinggoogle/skills | 21k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about GCP
What does GCP do?
Google Cloud Platform expert for gcloud CLI, GKE, Cloud Run, and managed services. GCP is an agent skill from RightNow-AI/openfang.
When should I use GCP?
GCP fits situations like: devOps & Cloud work in your project.
How do I install GCP in Claude Code?
Run `npx skills add RightNow-AI/openfang --skill gcp -a claude-code`. Or copy the skill folder (crates/openfang-skills/bundled/gcp in RightNow-AI/openfang) into .claude/skills/gcp in your project. Claude Code loads it when a task matches its description.
How do I install GCP in Codex?
Run `npx skills add RightNow-AI/openfang --skill gcp -a codex`. Or copy the skill folder (crates/openfang-skills/bundled/gcp in RightNow-AI/openfang) into .agents/skills/gcp in your project. Codex loads it when a task matches its description.
Can I use GCP in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RightNow-AI/openfang --skill gcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gcp, .gemini/skills/gcp, .github/skills/gcp and .opencode/skills/gcp in your project.
What does GCP need to run?
Going by SKILL.md and its folder, GCP needs the command-line tools its instructions call (gcloud).
Does GCP access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is GCP safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does GCP use?
GCP is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does GCP use?
About 878 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to GCP?
Skills that share tags, products or a category with GCP: Devops (nicepkg/auto-company, 195 stars), Google Agents CLI Publish (pifferologo/cloud-agents-cli, 129 stars), Deploying (GoogleCloudPlatform/race-condition, 234 stars) and Implementing GCP Binary Authorization (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains GCP?
RightNow-AI (a GitHub organization) maintains it in RightNow-AI/openfang, which has 18,214 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on July 2, 2026.
Source: RightNow-AI/openfang on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.