principle-dry

Identify and eliminate knowledge duplication across code, data, and documentation.

5|1|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/tikazyq/agentic-spec-forge --skill principle-dry
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: principle-dry
Source: https://github.com/tikazyq/agentic-spec-forge/tree/main/AGENTIC_SPEC_FORGE/spec_stage_skill/common_normal/principle-dry
Command: npx skills add https://github.com/tikazyq/agentic-spec-forge --skill principle-dry

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies and removes redundant knowledge across code, data, and documentation, ensuring that every piece of information has a single, authoritative representation within the system.

Core Features & Use Cases

  • Code Duplication Detection: Finds and helps refactor copied code blocks.
  • Data Redundancy Checks: Identifies duplicate data definitions and configuration.
  • Documentation Consistency: Ensures information is not repeated across multiple documents.
  • Use Case: When refactoring a large codebase, use this Skill to pinpoint areas where similar logic is implemented multiple times, allowing for abstraction into reusable functions or modules.

Quick Start

Run the dry_check_l1 command to perform a quick DRY principle check.

Frequently Asked Questions about principle-dry

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

FAQPage Schema
How do I eliminate knowledge duplication across code and documentation?

You can identify duplicate code blocks and data redundancy to establish a single source of truth, which is essential when refactoring a large codebase where similar logic is implemented multiple times.

How do I find duplicate code blocks during a large codebase refactoring?

To find duplicate code blocks during refactoring, run a quick DRY principle check to pinpoint areas where similar logic is implemented multiple times, allowing for abstraction into reusable functions or modules.

What is the best way to ensure documentation consistency and prevent information repetition?

The best way to ensure documentation consistency is to identify and remove repeated information across multiple documents, ensuring information maintains a single, authoritative representation within your system.

Can I use this approach to check data redundancy and optimize configurations?

Yes, you can use this approach to identify duplicate data definitions and optimize configurations, establishing a single data source by applying specific elimination strategies to data redundancy.

What are the trade-offs of applying DRY principle elimination strategies to code and data?

The trade-offs of applying DRY elimination strategies involve balancing the removal of knowledge duplication against potential complexity, requiring specific trade-off recommendations when refactoring code or establishing single data sources.