rat-dse

Coordinates Design, Space Exploration across phases with git worktrees and self-critique.

43|9|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/babyworm/rtl-agent-team --skill rat-dse
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rat-dse
Source: https://github.com/babyworm/rtl-agent-team/tree/main/skills/rat-dse
Command: npx skills add https://github.com/babyworm/rtl-agent-team --skill rat-dse

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This DSE skill enables deep, iterative exploration of multiple architecture and algorithm candidates, including a self-critique loop and user-guided trial iterations, to converge on a strong pre-implementation plan.

Core Features & Use Cases

  • Self-critique loop: automatically reviews its own output and replans Phase 1→3 with findings.
  • Multi-phase orchestration: handles Phase 1 (research + algorithm study), Phase 2 (architecture exploration + reference C model), and Phase 3 (μArch + BFM) to produce a complete design package.
  • Trial isolation via worktrees: uses git worktrees to compare alternate designs safely without compromising the current baseline.
  • Deliverables: artifacts like phase documents, decisions logs, and a ready pre-implementation package for downstream RTL integration.

Quick Start

Start DSE Trial 1 by providing your spec or project description; the orchestrator will run Phase 1–3, perform self-critique, and guide iterative trials until you approve.

Frequently Asked Questions about rat-dse

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

FAQPage Schema
How do I perform iterative Design Space Exploration for RTL design with multiple architecture candidates?▼

Iterative Design Space Exploration runs phases from algorithm study to microarchitecture design, using a self-critique loop to review outputs and replan until a strong candidate converges, yielding a pre-implementation package for downstream RTL integration.

What is the best way to compare alternate architecture candidates without compromising my current baseline?▼

Comparing alternate architecture candidates safely uses git worktrees for trial isolation, managing isolated worktrees to explore multiple design variations in parallel without compromising the current project baseline.

How does self-critique work in architecture and microarchitecture exploration workflows?▼

Self-critique in architecture exploration automatically reviews generated phase outputs and replans design phases with findings, continuously evaluating artifacts and guiding iterative trials until the user approves the final design.

Do I need a reference C model to start design space exploration for my hardware project?▼

A reference C model is supported during Phase 2 architecture exploration to help evaluate candidates; you can start by providing your spec or project description, and the orchestrator handles algorithm studies and reference model generation.

What deliverables should I expect from an automated DSE workflow before starting RTL implementation?▼

Deliverables from a DSE workflow include phase documents, decision logs, and a ready pre-implementation package, capturing explored architecture and microarchitecture decisions to directly feed downstream RTL integration.