Agent Platform Alert Configuration
google/skills
Writes Terraform alerting policies for AI agents that emit OpenTelemetry metrics, covering reliability, cost, safety, security and quality signals on Google Cloud.
Execute use when provisioning Vertex AI infrastructure with Terraform.
Install Vertex Infra Expert
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-infra-expert --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/vertex-infra-expert .claude/skills/vertex-infra-expert && 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 "vertex-infra-expert" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-infra-expert into .claude/skills/vertex-infra-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-infra-expert", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-infra-expertType 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 jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-infra-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/vertex-infra-expert .agents/skills/vertex-infra-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vertex-infra-expert" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-infra-expert into .agents/skills/vertex-infra-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-infra-expert", 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 jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-infra-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/vertex-infra-expert .cursor/skills/vertex-infra-expert && 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 "vertex-infra-expert" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-infra-expert into .cursor/skills/vertex-infra-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-infra-expert", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/vertex-infra-expert--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 jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-infra-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/vertex-infra-expert .gemini/skills/vertex-infra-expert && 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 "vertex-infra-expert" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-infra-expert into .gemini/skills/vertex-infra-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-infra-expert", 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 jeremylongshore/tons-of-skills-marketplace vertex-infra-expertInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/vertex-infra-expert .github/skills/vertex-infra-expert && 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 "vertex-infra-expert" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-infra-expert into .github/skills/vertex-infra-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-infra-expert", 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 jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vertex-infra-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/vertex-infra-expert .opencode/skills/vertex-infra-expert && 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 "vertex-infra-expert" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vertex-infra-expert into .opencode/skills/vertex-infra-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vertex-infra-expert", 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
vertex-infra-expert- GitHub stars
- 2.8k
- Token cost
- ~709 tokens
- SKILL.md length
- 239 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Execute use when provisioning Vertex AI infrastructure with Terraform.
- Works in 8 steps: Define AI Services: Identify required… → Configure Terraform: Set up backend and… → Provision Endpoints: Deploy Gemini or… → …
- Provisioning Vertex AI infrastructure with Terraform
- SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
- Runs Shell scripts from its folder
What it does
Vertex Infra Expert is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", or "vector search terraform". Provisions Model Garden models, Gemini endpoints, vector search indices, ML pipelines, and production AI services with encryption and auto-scaling.
Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/ARD.md`, `references/PRD.md` and `references/errors.md`). Compatibility notes: Designed for Claude Code
It sits in DevOps & Cloud, covering Infrastructure as code, Vector databases and MLOps. It works with Terraform and Vertex AI. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Provisioning Vertex AI infrastructure with Terraform
- With phrases like vertex ai terraform
- Deploy gemini terraform
- Model garden infrastructure
Example prompts
- “vertex ai terraform”
- “deploy gemini terraform”
- “model garden infrastructure”
- “/vertex-infra-expert”
Requirements
- A Bash shell
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(terraform:*), Bash(gcloud:*)
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Define AI Services: Identify required Vertex AI components (endpoints, vector search, pipelines)
- Configure Terraform: Set up backend and define project variables
- Provision Endpoints: Deploy Gemini or custom model endpoints with auto-scaling
- Set Up Vector Search: Create indices for embeddings with appropriate dimensions
- Configure Encryption: Apply KMS encryption to endpoints and data
- Implement Monitoring: Set up Cloud Monitoring for model performance
- Apply IAM Policies: Grant least privilege access to AI services
- Validate Deployment: Test endpoints and verify model availability
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobBash(terraform:*)Bash(gcloud:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
cloud.google.comregistry.terraform.io
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.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Vertex Infra Expert loads about 709 tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 239 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); the scripts in this folder are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 239 words, ~709 tokens.
Download SKILL.mdSave it as
.claude/skills/vertex-infra-expert/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- vertex-infra-expert
- description
- Execute use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", or "vector search terraform". Provisions Model Garden models, Gemini endpoints, vector search indices, ML pipelines, and production AI services with encryption and auto-scaling.
- allowed-tools
- Read, Write, Edit, Grep, Glob, Bash(terraform:*), Bash(gcloud:*)
- compatibility
- Designed for Claude Code
- version
- 2.22.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- tags
- devops, deployment, terraform, ml
Vertex Infra Expert
Overview
Provision Vertex AI infrastructure with Terraform (endpoints, deployed models, vector search indices, pipelines) with production guardrails: encryption, autoscaling, IAM least privilege, and operational validation steps. Use this skill to generate a minimal working Terraform baseline and iterate toward enterprise-ready deployments.
Prerequisites
Before using this skill, ensure:
- Google Cloud project with Vertex AI API enabled
- Terraform 1.0+ installed
- gcloud CLI authenticated with appropriate permissions
- Understanding of Vertex AI services and ML models
- KMS keys created for encryption (if required)
- GCS buckets for model artifacts and embeddings
Instructions
- Define AI Services: Identify required Vertex AI components (endpoints, vector search, pipelines)
- Configure Terraform: Set up backend and define project variables
- Provision Endpoints: Deploy Gemini or custom model endpoints with auto-scaling
- Set Up Vector Search: Create indices for embeddings with appropriate dimensions
- Configure Encryption: Apply KMS encryption to endpoints and data
- Implement Monitoring: Set up Cloud Monitoring for model performance
- Apply IAM Policies: Grant least privilege access to AI services
- Validate Deployment: Test endpoints and verify model availability
Output
- Configuration files or code changes applied to the project
- Validation report confirming correct implementation
- Summary of changes made and their rationale
See Terraform implementation details for output format specifications.
Error Handling
See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.
Examples
See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.
Resources
- Vertex AI Terraform: https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/vertex_ai_endpoint
- Vertex AI documentation: https://cloud.google.com/vertex-ai/docs
- Model Garden: https://cloud.google.com/model-garden
- Vector Search guide:
- Terraform examples in ${CLAUDE_SKILL_DIR}/vertex-examples/
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/.curated/vertex-infra-expert of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/ARD.md
- references/PRD.md
- references/errors.md
- references/examples.md
- references/implementation.md
- scripts/init-terraform.sh
Open the folder on GitHubat commit cfae287
Compare with similar skills
Vertex Infra Expert 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 |
|---|---|---|---|---|---|---|
| Vertex Infra Expert this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~709 | Automated safety check: Pass | MIT | |
| Agent Platform Alert Configurationgoogle/skills | 21k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Review Docshashicorp/terraform-provider-aws | 11k | — | ~1.3k | Automated safety check: Pass | MPL-2.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| Cloudflarehodgef/apiker | 127 | 7 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Terravision Cloud Diagramspatrickchugh/terravision | 1.6k | — | ~5.6k | Automated safety check: Notes | AGPL-3.0-only |
Similar skills
- Official
- Official
Review Docs
hashicorp/terraform-provider-aws
Review a Terraform AWS Provider PR's end-user documentation (website/docs//.markdown): whether docs are needed, description openings, argument/attribute style, section structure, tags wording, code…
Senior DevOps Toolkit
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
Cloudflare
hodgef/apiker
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF…
Terravision Cloud Diagrams
patrickchugh/terravision
Draw cloud architecture diagrams for AWS, Azure or GCP with the official provider icon sets, using TerraVision.
- Official
Review Helpers
hashicorp/terraform-provider-aws
Review Terraform AWS Provider helper code: finders, status functions, waiters, sweepers, data sources, and list resources.
More from jeremylongshore/tons-of-skills-marketplace
All 3,342 skills in this repoPerforming Security Code Review
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
Adapting Transfer Learning Models
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
Agent Context Loader
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
Aggregating Performance Metrics
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
Analyzing Capacity Planning
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
Analyzing Database Indexes
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Related
Categories
Questions about Vertex Infra Expert
What does Vertex Infra Expert do?
Execute use when provisioning Vertex AI infrastructure with Terraform. Vertex Infra Expert is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute use when provisioning Vertex AI infrastructure with Terraform.
When should I use Vertex Infra Expert?
Vertex Infra Expert fits situations like: provisioning Vertex AI infrastructure with Terraform; with phrases like vertex ai terraform; deploy gemini terraform; model garden infrastructure.
How do I install Vertex Infra Expert in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a claude-code`. Or copy the skill folder (skills/.curated/vertex-infra-expert in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vertex-infra-expert in your project. Claude Code loads it when a task matches its description.
How do I install Vertex Infra Expert in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a codex`. Or copy the skill folder (skills/.curated/vertex-infra-expert in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vertex-infra-expert in your project. Codex loads it when a task matches its description.
Can I use Vertex Infra Expert 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 jeremylongshore/tons-of-skills-marketplace --skill vertex-infra-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vertex-infra-expert, .gemini/skills/vertex-infra-expert, .github/skills/vertex-infra-expert and .opencode/skills/vertex-infra-expert in your project.
What does Vertex Infra Expert need to run?
Going by SKILL.md and its folder, Vertex Infra Expert needs a shell for the scripts in its folder. Our summary lists: A Bash shell. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(terraform:*), Bash(gcloud:*). Compatibility (from SKILL.md): Designed for Claude Code.
Does Vertex Infra Expert access the network?
SKILL.md names 2 domains. As links in the text: cloud.google.com and registry.terraform.io. This is read from the text; nothing was executed.
Is Vertex Infra Expert 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Vertex Infra Expert use?
Vertex Infra Expert is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Vertex Infra Expert use?
About 709 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.8k tokens, read only when the agent opens those files.
What are the alternatives to Vertex Infra Expert?
Skills that share tags, products or a category with Vertex Infra Expert: Agent Platform Alert Configuration (google/skills, 21k stars), Review Docs (hashicorp/terraform-provider-aws, 11k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and Cloudflare (hodgef/apiker, 127 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vertex Infra Expert?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.