command-creator

Create slash commands that analyze multiple data sources and provide recommendations.

Updated Oct 6, 2025
One-click install
npx skills add https://github.com/rodrigolagodev/SandoDesignSystem --skill command-creator-rodrigolagodev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: command-creator
Source: https://github.com/rodrigolagodev/SandoDesignSystem/tree/main/.claude/skills/command-creator
Command: npx skills add https://github.com/rodrigolagodev/SandoDesignSystem --skill command-creator-rodrigolagodev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents the creation of "dumb" AI commands that merely wrap bash scripts, which wastes valuable AI tokens. It ensures that every new command adds intelligent value, such as multi-source analysis, deeper insights, or automated troubleshooting, thereby optimizing AI usage and delivering more meaningful results.

Core Features & Use Cases

  • Intelligent Command Generation: Creates slash commands that combine multiple data sources, analyze results, and provide AI-driven recommendations, going beyond simple script execution.
  • Token Cost Optimization: Enforces a "Golden Rule" to only create commands that justify their token cost by adding significant value, ensuring efficient use of AI resources.
  • Workflow Automation Shortcuts: Generates convenient shortcuts for frequently used skills or complex, multi-step workflows, streamlining developer operations.
  • Use Case: Instead of a basic /build command, use this Skill to create a /project-status command that checks git status, build artifacts, test results, and coverage, then provides actionable recommendations, all with a single prompt.

Quick Start

Ask the command-creator skill to create a new slash command for checking project health, including git status and build results.

Frequently Asked Questions about command-creator

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

FAQPage Schema
How do I create slash commands that go beyond simple bash script wrappers?

Slash commands can combine multiple data sources and provide AI-driven analysis instead of just executing scripts. This Skill creates intelligent commands that justify their token cost by delivering multi-source insights, such as repository health checks that analyze git status, build artifacts, test results, and coverage simultaneously to generate actionable recommendations.

What's the best way to automate complex workflows in a monorepo project?

Workflow automation in monorepos benefits from commands that coordinate across multiple analysis sources rather than isolated bash calls. This Skill generates commands adhering to project guidelines and package.json scripts, validating against your architecture while delivering structured outputs and recommendations tailored to your specific repository structure.

How can I optimize token usage when creating AI-powered commands?

Token optimization means creating commands that add meaningful value beyond script execution. This Skill enforces the Golden Rule: only generate commands whose intelligent analysis—such as troubleshooting, architecture validation, or build status synthesis—justifies the token cost, ensuring efficient AI resource allocation.

Can I use slash commands for project health monitoring and troubleshooting?

Yes. This Skill creates commands that perform multi-source analysis across repository state, build status, test results, and coverage metrics, then deliver troubleshooting recommendations and architecture validation. A single `/project-status` command replaces multiple manual checks with one intelligent workflow.

Do I need to validate new commands against existing project standards?

Yes. This Skill validates commands against package.json scripts and project guidelines, ensuring adherence to the Sando Golden Rule and your design system. Validation confirms commands integrate with your workflow automation requirements and meet functional and technical standards before deployment.

What makes an AI command valuable enough to create?

A valuable command delivers insights that simple scripts cannot—multi-source analysis, pattern recognition, or automated reasoning over complex data. This Skill ensures commands provide meaningful troubleshooting, architectural validation, or synthesis of dispersed information, justifying their token investment through actionable, intelligent results.