sp-write-skill

Apply TDD phases to create, test, and refine AI agent skills.

Updated Jun 8, 2026
One-click install
npx skills add https://github.com/JZKK720/cubecloud-agentic-os --skill sp-write-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sp-write-skill
Source: https://github.com/JZKK720/cubecloud-agentic-os/tree/main/.agents/skills/sp-write-skill
Command: npx skills add https://github.com/JZKK720/cubecloud-agentic-os --skill sp-write-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures the application of the Test-Driven Development (TDD) approach in skill development, reducing errors and improving skill quality.

Core Features & Use Cases

  • TDD Approach: Implements TDD phases (RED, GREEN, REFACTOR) to create, test, and refine skills.
  • Pressure Scenario Testing: Helps identify skill gaps by simulating user scenarios.
  • Skill Documentation: Provides guidelines for creating clear, concise, and effective skill documentation.

Quick Start

Use the sp-write-skill to create a new skill by writing a pressure scenario, developing the skill to pass the test, and refactoring the skill for clarity.

Frequently Asked Questions about sp-write-skill

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

FAQPage Schema
What is TDD for skill development and why use it for AI agents?

TDD for skill development applies Test-Driven Development phases (RED, GREEN, REFACTOR) to AI agent creation, reducing errors and improving skill quality by testing before finalizing logic.

How do I create an AI agent skill using a TDD approach?

To create an AI agent skill using TDD, write a pressure scenario first, develop the skill logic to pass that test, and then refactor the skill for clarity and better documentation.

How do pressure scenarios identify gaps in AI agent skills?

Pressure scenarios identify skill gaps by simulating user interactions, exposing weaknesses in the AI agent's logic so you can address failures before final deployment.

Do I need specific frameworks to write AI agent skill documentation?

No specific frameworks are required. This approach provides built-in guidelines for creating clear, concise, and effective skill documentation directly without external dependencies.

What is the best way to refine an existing AI agent skill?

The best way to refine an AI agent skill is applying TDD phases: use pressure scenario testing to identify gaps, fix the logic to pass tests, and refactor for clearer documentation.