Architects reliable, composable agent primitives for AI-native software development using the PROSE framework.
PROSE Architect is a specialized tool designed to help developers build AI-native applications by creating structured agent primitives based on the PROSE framework: Progressive Disclosure, Reduced Scope, Orchestrated Composition, Safety Boundaries, and Explicit Hierarchy. Whether starting a new project from scratch, migrating a legacy codebase to an AI-native architecture, or auditing existing prompts for reliability, this skill provides the decision frameworks and file structures needed to ensure context efficiency and system safety. It guides users through selecting the right agent patterns—from single-task agents to complex multi-agent stacks—ensuring that every AI interaction is governed by clear, maintainable instructions.
Key Features
01Provides phased rollout strategies for making brownfield legacy projects AI-native.
02Automates audits of existing agent prompts to identify and fix reliability anti-patterns.
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04Recommends specific agent architecture patterns based on task and domain complexity.
05Enforces safety boundaries and explicit hierarchies within multi-agent orchestration.
06Architects PROSE-compliant agent primitives including .agent.md and .instructions.md files.
Use Cases
01Analyzing a large legacy codebase to recommend an incremental AI-native transformation plan.
02Designing the multi-agent orchestration for a new AI-powered application from requirements.
03Auditing a monolithic 'mega-prompt' to decompose it into manageable, composable primitives.
