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Deployment Platform Specialist · modu-ai | DecimalAI

devopsby modu-ai

Deployment Platform Specialist

modu-ai/moai-platform-deployment

Source modu-ai/moai-adk ↗License Apache-2.0

Deployment and hosting platform specialist covering Vercel, Railway, and Convex.

SkillScore95Maintained

Automatic

DevOps & SRE pack

Last verified 8/15/2026

What it changes

Passed 21 of 22 test cases with the skill, and 16 of 22 without it.

Without skill73%

With skill95%

Checks it passed that the model alone missed

Reads the country code from request.geo
Specifies region names us-west and eu-central
Recommends Railway for the Python backend container

and 4 more in the full report

5 fixed16 passed either way1 still failing0 broke

Pass-rate lift: +23 pp
Tokens: +115%
Agent turns: 0%
Response time: -28%

Model gemini-3.6-flashMeasured 8/15/2026v121 of 22 cases passed with skill

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/modu-ai-moai-platform-deployment/SKILL.md https://app.decimal.ai/s/modu-ai-moai-platform-deployment/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add modu-ai-moai-platform-deployment, 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/modu-ai-moai-platform-deployment/ and pins it in .decimal/skills.lock

decimalai skills add modu-ai-moai-platform-deployment

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

curl -fsSL --create-dirs -o .claude/skills/modu-ai-moai-platform-deployment/SKILL.md https://app.decimal.ai/s/modu-ai-moai-platform-deployment/SKILL.md

Raw file: /s/modu-ai-moai-platform-deployment/SKILL.md ↗ · machine-readable summary at /s/modu-ai-moai-platform-deployment.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

We want to configure multi-region deployments on Railway so that application replicas run in both US West and Europe Central regions. What TOML section structure should be added to railway.toml?

What was checked, without and with the skill
Checked	Without skill	With skill
Defines region settings using deploy.regions syntax in railway.toml	Missed	Passed
Specifies region names us-west and eu-central	Missed	Passed

case-14 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md425 linessingle file

Deployment Platform Specialist

Comprehensive deployment platform guide covering Vercel (edge-first), Railway (container-first), and Convex (real-time backend).

Quick Platform Selection

When to Use Each Platform

Vercel - Edge-First Deployment:

Next.js applications with SSR/SSG
Global CDN distribution required
Sub-50ms edge latency critical
Preview deployments for team collaboration
Managed storage needs (KV, Blob, Postgres)

Railway - Container-First Deployment:

Full-stack containerized applications
Custom runtime environments
Multi-service architectures
Persistent volume storage
WebSocket/gRPC long-lived connections

Convex - Real-Time Backend:

Collaborative real-time applications
Reactive data synchronization
TypeScript-first backend needs
Optimistic UI updates
Document-oriented data models

Decision Guide

By Application Type

Web Applications (Frontend + API):

Next.js → Vercel (optimal integration)
React/Vue with custom API → Railway (flexible)

Track record

Benchmark

21 / 22

test cases passed, vs 16 / 22 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 — 8/3/2026

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

modu-ai / moai-adk

.moai/archive/skills/v2.16/moai-platform-deployment/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Deployment Platform Specialist

Quick Platform Selection

When to Use Each Platform

Decision Guide

By Application Type

Track record

Benchmark

Adoption

SkillSafety

Source

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