What does 'Language-Agnostic' mean in skill design?

It means designing skills based on conceptual methodologies (e.g., 'Code Formatting') rather than specific tools or file extensions, allowing the AI to adapt to any project stack.

What is a Claude Code Skill?

A specialized capability that provides domain-specific guidance, best practices, and implementation patterns to enhance Claude's behavior during complex tasks.

How do I evaluate the quality of a Claude Skill?

The Skill Authoring guide provides a 0-100 scoring rubric based on naming conventions, description clarity, use of examples, and the inclusion of boundary conditions.

Why use tables instead of text in a SKILL.md file?

AI models process structured data like tables more effectively than long paragraphs, which reduces ambiguity and improves the accuracy of the model's response.

Skill Authoring Standards

Name: Skill Authoring Standards
Author: cch96

bycch96

Aprendizaje y Documentación

Standardizes the creation and evaluation of Claude Code Skills using methodology-first principles and AI-optimized formatting.

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Skill Authoring provides a rigorous framework for developing, documenting, and scoring Claude Code skills to ensure maximum AI performance. It prioritizes machine-readable structures like tables and ASCII diagrams over long-form text, ensuring that AI agents can parse and execute instructions with precision. By advocating for language-agnostic methodology instead of tool-specific commands, it helps developers create versatile, high-quality skills that scale across different project environments and programming languages.

Características Principales

Success Criteria and Boundary Condition Templates
Structured Multi-file Organization Patterns
Language-Agnostic Methodology Design
Automated Scoring and Evaluation Rubrics
0 GitHub stars
AI-Optimized Formatting (Tables, ASCII, Numbers)

Casos de Uso

Creating a new Claude Code Skill from scratch with standardized templates
Auditing and optimizing existing skills for better AI performance and accuracy
Establishing team-wide standards for internal AI automation and plugin development

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Características Principales

Success Criteria and Boundary Condition Templates
Structured Multi-file Organization Patterns
Language-Agnostic Methodology Design
Automated Scoring and Evaluation Rubrics
0 GitHub stars
AI-Optimized Formatting (Tables, ASCII, Numbers)

Casos de Uso

Creating a new Claude Code Skill from scratch with standardized templates
Auditing and optimizing existing skills for better AI performance and accuracy
Establishing team-wide standards for internal AI automation and plugin development