gsd-do

Route free-form user input to the appropriate GSD command without executing work.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/giovannimnz/gsd-caveman-hermes --skill gsd-do-giovannimnz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-do
Source: https://github.com/giovannimnz/gsd-caveman-hermes/tree/main/skills/gsd-do
Command: npx skills add https://github.com/giovannimnz/gsd-caveman-hermes --skill gsd-do-giovannimnz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Route free-form user input to the appropriate GSD command without executing work. This eliminates guesswork and manual routing in interactive sessions.

Core Features & Use Cases

  • Intelligent routing: maps user intent to the most relevant GSD command without performing tasks.
  • Context-aware routing: handles common scenarios like starting a new project, debugging, or prototyping, from natural-language input.
  • Safe dispatch: never executes work directly; only returns the target command for execution.

Quick Start

Describe your intent in natural language and let gsd-do route it to the correct GSD command.

Frequently Asked Questions about gsd-do

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

FAQPage Schema
How do I route natural language input to the correct command in my AI assistant workflow?

Natural language routing maps free-form user input to the appropriate command using a deterministic routing table. It interprets intent for tasks like starting projects or debugging and returns the correct dispatch target without executing the work.

Can I use natural language routing to dispatch commands without executing tasks directly?

Yes, natural language routing acts as a safe dispatcher that only returns the target command for execution. It never executes work directly, ensuring you maintain control over the actual task execution process.

What is natural language command routing and when do I need it for an AI assistant?

Natural language command routing is the process of mapping free-form user input to specific commands. You need it when building interactive AI assistant sessions where users describe intents like prototyping or debugging without memorizing exact command syntax.

How do I map user intent for debugging or prototyping to a specific dispatcher target?

You map user intent by describing your goal in natural language, such as "debug this issue" or "start a new prototype." The routing mechanism consults a routing table and produces the correct dispatch target based on the interpreted intent.

Does natural language command routing handle context-aware scenarios across diverse user inputs?

Yes, context-aware routing handles common scenarios like starting a new project, debugging, or prototyping across diverse natural-language inputs. It eliminates guesswork by consistently enforcing a deterministic routing policy.

What are the limitations of using a deterministic routing table for natural language dispatch?

A deterministic routing table only produces the dispatch target and does not execute the actual work. If your input falls outside predefined common intents, the routing policy may not map it to the correct command.