architect

Configure Ravi agent infrastructure using deterministic recipes and task profiles.

6|2|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/filipexyz/ravi --skill architect-filipexyz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: architect
Source: https://github.com/filipexyz/ravi/tree/main/src/plugins/internal/ravi-system/skills/architect
Command: npx skills add https://github.com/filipexyz/ravi --skill architect-filipexyz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the complexity of configuring and maintaining long-lived AI agent infrastructure by providing a deterministic, audit-able, and reversible system for setup and re-configuration.

Core Features & Use Cases

  • Declarative Recipes: Use pre-defined recipes to deploy complex agent setups like sales pipelines, support triage, or dedicated contact bridges.
  • Audit-able Planning: Generates detailed plans and mappings before any changes are applied to the system state.
  • Reversibility: Provides built-in undo functionality for operations, ensuring that infrastructure changes can be safely rolled back.
  • Use Case: A user wants to set up a dedicated agent to manage a specific high-value client relationship; the architect skill maps the intent, generates the necessary routes and task profiles, and executes the setup with full audit logs.

Quick Start

Use the architect skill to discover the configuration requirements for a new sales pipeline and generate an execution plan.

Frequently Asked Questions about architect

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

FAQPage Schema
How do I automate deployment and configuration for AI agent infrastructure?

You can automate AI agent infrastructure configuration using deterministic recipes and task profiles that translate deployment intent into durable operational setups across instances, agents, and cron triggers.

What is the best way to ensure agent orchestration changes are reversible?

Agent orchestration changes are made reversible through built-in undo functionality that supports automated rollbacks and state reconciliation, ensuring any infrastructure modifications can be safely rolled back to a previous configuration.

How does infrastructure lifecycle management handle state reconciliation?

Infrastructure lifecycle management handles state reconciliation by operating across system primitives using strict plan-execute-finalize protocols, ensuring the actual system state matches the intended configuration.

Can I generate an execution plan before applying changes to my agent setup?

Yes, you can generate detailed execution plans and mappings before any changes are applied to the system state, providing an audit-able blueprint of the configuration and deployment process prior to execution.

Does this configuration approach support pre-defined recipes for complex agent pipelines?

Yes, this configuration approach supports declarative recipes that allow you to deploy complex agent setups like sales pipelines, support triage, or dedicated contact bridges without manual orchestration.