What is the 'Rule of Three' used by this skill?

The skill follows the principle that you should only codify a pattern once it appears for the third time. This prevents premature abstraction and ensures you only document truly reusable structures.

How does this improve team onboarding?

It creates a searchable, living library of 'how we do things here,' allowing new developers to see canonical examples of repository patterns, middleware, and error handling unique to your codebase.

Can I use this for standard language patterns?

While you can, it is best used for project-specific or domain-specific patterns. Standard language patterns are usually better handled by a global style guide or linter.

Where does the skill save the recorded patterns?

Patterns are typically stored in your project's `docs/patterns.md` or category-specific markdown files, and can also be saved to Claude's memory for persistent reference across sessions.

Vibe Pattern Library

Name: Vibe Pattern Library
Author: ash1794

byash1794

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Learning & Documentation

Identifies and codifies recurring implementation patterns across codebases to ensure architectural consistency and reduce technical debt.

The Vibe Pattern Library skill automates the 'Rule of Three' for software engineering by detecting when a specific implementation logic appears three or more times. Instead of allowing tribal knowledge to fade, it extracts the canonical structure, defines the appropriate context, and records it into a project's documentation or Claude's memory. This ensures that future implementations of patterns like retry logic, error wrapping, or repository structures are consistent, well-documented, and easily accessible for onboarding and code reviews.

Key Features

01Automatic detection of recurring patterns using the Rule of Three

02Identification of anti-patterns and specific usage variations

03Cross-session pattern persistence via Claude memory

04Seamless integration with project documentation in docs/patterns.md

05Template-based recording of canonical code implementations

066 GitHub stars

Use Cases

01Codifying boilerplate structures for table-driven tests to improve test suite quality

02Building a living architecture guide during the onboarding process of a complex legacy project

03Standardizing error-handling and retry logic across a distributed microservices architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ash1794/vibe-engineering pattern-library

For use in Claude.ai and ChatGPT

Key Features

01Automatic detection of recurring patterns using the Rule of Three

02Identification of anti-patterns and specific usage variations

03Cross-session pattern persistence via Claude memory

04Seamless integration with project documentation in docs/patterns.md

05Template-based recording of canonical code implementations

066 GitHub stars

Use Cases

01Codifying boilerplate structures for table-driven tests to improve test suite quality

02Building a living architecture guide during the onboarding process of a complex legacy project

03Standardizing error-handling and retry logic across a distributed microservices architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ash1794/vibe-engineering pattern-library

For use in Claude.ai and ChatGPT