golden-pattern-extractor

Identify and document preferred implementation patterns within a repository.

3|Updated Jun 8, 2026

Search Tags:#code quality #pattern recognition #code standardization #repository maintenance #pattern documentation

Ready to run

npx skills add https://github.com/pax-k/pax-fullstack-harness --skill golden-pattern-extractor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: golden-pattern-extractor
Source: https://github.com/pax-k/pax-fullstack-harness/tree/main/skills/golden-pattern-extractor
Command: npx skills add https://github.com/pax-k/pax-fullstack-harness --skill golden-pattern-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the issue of inconsistent implementation patterns within a repository, by identifying and documenting the best practices for agents to follow.

Core Features & Use Cases

Pattern Identification: Detects repeated patterns across source directories.
Documentation: Creates canonical examples and templates for agents.
Cleanup Coordination: Assists in cleaning up deprecated patterns.
Use Case: When a repository has multiple implementations of a feature, this Skill can help standardize the approach, improving maintainability and consistency.

Quick Start

Run the golden-pattern-extractor skill to analyze your project and generate a report on best practices.

Frequently Asked Questions about golden-pattern-extractor

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

FAQPage Schema

How do I standardize inconsistent code patterns across my repository?▼

To standardize inconsistent code patterns, you can analyze your codebase to identify preferred implementations and generate canonical examples. This creates documentation that guides agents toward consistent code practices.

What is the best way to document local implementation patterns for AI agents?▼

Documenting local implementation patterns involves detecting repeated practices across source directories and creating templates. This provides agents with standardized references to maintain code consistency during repository maintenance.

How do I identify canonical code examples when a feature has multiple implementations?▼

Identifying canonical code examples requires scanning the source directories to detect repeated implementations. Pattern recognition highlights the best practices, which are then extracted as templates for future development.

Can I coordinate deprecated pattern cleanup using pattern documentation?▼

Yes, pattern documentation assists in cleaning up deprecated patterns by establishing the standardized approach. Once canonical examples are defined, inconsistent implementations can be identified and updated for better maintainability.

Does code standardization work for repositories with heavily inconsistent practices?▼

Code standardization is specifically designed for codebases with inconsistent patterns. It applies pattern recognition to extract the best local practices, requiring canonical examples and templates to enforce consistency across the project.