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Vertex Ai Deployer · dicklesworthstone | DecimalAI

Registry skillby dicklesworthstone

Vertex Ai Deployer

dicklesworthstone/vertex-ai-deployer

Source dicklesworthstone/pi_agent_rust ↗License NOASSERTION

Deploy vertex ai deployer operations. Auto-activating skill for ML Deployment.

SkillScore86Maintained

Automatic

AI Engineer pack

Last verified 8/29/2026

What it changes

Passed 18 of 21 test cases with the skill, and 15 of 21 without it.

Without skill73%

With skill86%

Checks it passed that the model alone missed

Instantiates `FastAPI` application.
Defines `@app.post("/predict")` endpoint.
Identifies the `PORT` environment variable.

and 2 more in the full report

3 fixed16 passed either way3 still failing0 broke

Pass-rate lift: +14 pp
Tokens: +34%
Agent turns: 0%
Response time: +39%

Model gemini-3.6-flashMeasured 8/29/2026v119 of 22 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/dicklesworthstone-vertex-ai-deployer/SKILL.md https://app.decimal.ai/s/dicklesworthstone-vertex-ai-deployer/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add dicklesworthstone-vertex-ai-deployer, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/dicklesworthstone-vertex-ai-deployer/ and pins it in .decimal/skills.lock

decimalai skills add dicklesworthstone-vertex-ai-deployer

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/dicklesworthstone-vertex-ai-deployer/SKILL.md https://app.decimal.ai/s/dicklesworthstone-vertex-ai-deployer/SKILL.md

Raw file: /s/dicklesworthstone-vertex-ai-deployer/SKILL.md ↗ · machine-readable summary at /s/dicklesworthstone-vertex-ai-deployer.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 2

Prompt

We are writing a custom FastAPI prediction container for deployment on Vertex AI. The container must respond to Vertex AI's internal health check probe. What HTTP status code must the custom container return on its configured health check route when healthy, and what environment variable does Vertex AI set to tell the container which port to listen on?

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies HTTP status code `200` for healthy status.	Passed	Passed
Identifies the `PORT` environment variable.	Missed	Passed

case-12 · gemini-3.6-flash · 8/29/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md60 linessingle file

Vertex Ai Deployer

Overview

This skill provides automated assistance for vertex ai deployer tasks within the ML Deployment domain.

When to Use

This skill activates automatically when you:

Mention "vertex ai deployer" in your request
Ask about vertex ai deployer patterns or best practices
Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.

Instructions

Provides step-by-step guidance for vertex ai deployer
Follows industry best practices and patterns
Generates production-ready code and configurations
Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with vertex ai deployer" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

Relevant development environment configured
Access to necessary tools and services
Basic understanding of ml deployment concepts

Output

Generated configurations and code
Best practice recommendations
Validation results

Track record

Benchmark

18 / 21

test cases passed, vs 15 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

dicklesworthstone / pi_agent_rust

tests/ext_conformance/artifacts/plugins-community/skills/08-ml-deployment/vertex-ai-deployer/SKILL.md

View on GitHub ↗

License MITImported 8/10/2026Version v1

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See it in action

What's inside

Vertex Ai Deployer

Overview

When to Use

Instructions

Examples

Prerequisites

Output

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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