writing-great-skills

Design, review, and refactor AI skills for deterministic execution.

7|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/carl10086/ys-powers --skill writing-great-skills-carl10086
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: writing-great-skills
Source: https://github.com/carl10086/ys-powers/tree/main/skills/writing-great-skills
Command: npx skills add https://github.com/carl10086/ys-powers --skill writing-great-skills-carl10086

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the inconsistency and unpredictability often found in AI-driven workflows by providing a structured methodology for designing, refining, and maintaining high-quality skills and commands.

Core Features & Use Cases

  • Predictability Framework: Establishes clear guidelines for model-invoked vs. user-invoked triggers to optimize context usage.
  • Information Hierarchy: Provides a systematic approach to organizing steps and references to prevent premature completion and cognitive overload.
  • Use Case: Use this skill when you are drafting a new automation for your team and need to ensure the AI follows a deterministic process, or when you need to prune an existing, bloated skill to improve its reliability.

Quick Start

Use the writing-great-skills skill to review my current draft for a new automation and suggest improvements based on the predictability framework.

Frequently Asked Questions about writing-great-skills

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

FAQPage Schema
How do I make AI prompt engineering workflows more predictable?▼

You can ensure deterministic AI execution by applying a predictability framework that establishes clear guidelines for model-invoked triggers, information hierarchy, and progressive disclosure to prevent premature completion and cognitive overload.

What is the best way to structure prompts for complex workflow automation?▼

The best way to structure complex workflow automation is to implement an information hierarchy that organizes steps and references systematically, preventing cognitive overload and ensuring the AI follows a deterministic process.

How do I refactor a bloated AI agent skill to improve reliability?▼

Refactor a bloated AI agent skill by applying a structured methodology to prune existing commands, enforce a single source of truth, and optimize context usage through progressive disclosure, which directly improves execution reliability.

Does this methodology work for both user-invoked and model-invoked agent triggers?▼

Yes, the methodology applies to both user-invoked and model-invoked agent triggers by establishing clear guidelines to optimize context usage and ensure predictable execution across different command-line tools and custom capabilities.

Why does my AI agent stop or complete tasks prematurely during workflow automation?▼

AI agents complete tasks prematurely due to poor information hierarchy and lack of progressive disclosure. Organizing steps and references systematically prevents this issue and ensures the workflow runs to completion deterministically.