Marketplace

quality-standards

Defines code quality benchmarks, standards compliance, and best practices for maintaining high-quality codebases

$ Instalar

git clone https://github.com/bejranonda/LLM-Autonomous-Agent-Plugin-for-Claude /tmp/LLM-Autonomous-Agent-Plugin-for-Claude && cp -r /tmp/LLM-Autonomous-Agent-Plugin-for-Claude/skills/quality-standards ~/.claude/skills/LLM-Autonomous-Agent-Plugin-for-Claude

// tip: Run this command in your terminal to install the skill

SKILL.md

View on GitHub →

name: quality-standards description: Defines code quality benchmarks, standards compliance, and best practices for maintaining high-quality codebases version: 1.0.0

Overview

This skill provides standards and benchmarks for code quality including linting rules, formatting standards, naming conventions, and quality thresholds across programming languages.

Quality Score Thresholds

Excellent: 90-100
Good: 70-89
Acceptable: 50-69
Needs Improvement: Below 50

Language-Specific Standards

Python

PEP 8: Style guide for Python code
Type Hints: Use for public APIs
Docstrings: Google or NumPy style
Line Length: Max 88-100 characters (Black standard)

JavaScript/TypeScript

ESLint: Use recommended config + project rules
Prettier: For consistent formatting
Naming: camelCase for variables, PascalCase for classes
TypeScript: Enable strict mode

Quality Components

Tests Passing (30%): All tests must pass
Standards Compliance (25%): Linting/formatting adherence
Documentation (20%): Complete docstrings/comments
Pattern Adherence (15%): Follow established patterns
Code Metrics (10%): Complexity and duplication

When to Apply

Use when validating code quality, enforcing standards, or setting quality benchmarks for projects.