architect

Translate natural-language infrastructure intents into Facets resource definitions via Raptor CLI.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Facets-cloud/facets-getting-started --skill architect-facets-cloud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: architect
Source: https://github.com/Facets-cloud/facets-getting-started/tree/main/ai-setup/gemini/skills/architect
Command: npx skills add https://github.com/Facets-cloud/facets-getting-started --skill architect-facets-cloud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translate natural-language infrastructure intents into Facets resource definitions, validating modules before designing, discovering existing state, and wiring cross-resource dependencies before materializing via the Raptor CLI.

Core Features & Use Cases

  • Translate plain-English infrastructure intents into Facets resource definitions.
  • Validate module availability before designing and ensure current state is considered.
  • Discover existing resources to avoid conflicts; wire dependencies via expressions.
  • Apply definitions via Raptor CLI with safe, incremental deployment support.

Quick Start

Describe your infrastructure goal in plain language and let the agent design and materialize the resources with Raptor CLI.

Frequently Asked Questions about architect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I translate natural language infrastructure intents into Facets resource definitions?

The agent validates module availability before designing, discovers existing resources to avoid conflicts, and wires cross-resource dependencies using expressions before applying definitions via the Raptor CLI.

How does state discovery work when defining infrastructure resources?

State discovery identifies existing resources to avoid conflicts before materializing new definitions. This ensures the agent considers current state and safely wires cross-resource dependencies during deployment.

Can I dry-run infrastructure definitions before applying them with the Raptor CLI?

Yes, the agent enforces a schema-first approach with dry-run options and robust error handling to ensure safe materialization of infrastructure definitions via the Raptor CLI.

What is the best way to wire cross-resource dependencies for infrastructure?

The best way to wire cross-resource dependencies is through expressions within Facets resource definitions. The agent handles this automatically after validating module availability and discovering current state.

Do I need to validate modules before designing infrastructure?

Yes, module validation is required before designing infrastructure. The agent validates module availability to ensure current state is considered and dependencies are correctly wired before materialization.

Why does schema-first infrastructure materialization prevent deployment errors?

Schema-first infrastructure materialization prevents deployment errors by enforcing a strict validation process with dry-run options and robust error handling before applying resource definitions via the Raptor CLI.