Does it provide automatic warnings during coding?

While this skill focuses on managing the library, it is designed to integrate with proactive warning systems that alert you if Claude detects you are implementing a known anti-pattern.

How does this skill track patterns across different projects?

It uses the mem0 memory service to store metadata about successes and failures, making the knowledge accessible regardless of which local repository you are currently working in.

Can I filter the results by a specific technology?

Yes, you can use category filters like '/best-practices database' or '/best-practices authentication' to see patterns specific to that technical domain.

What is an anti-pattern in this context?

An anti-pattern is a implementation strategy that previously led to failure, such as performance bottlenecks or security vulnerabilities, which you have flagged using the /remember --failed command.

Best Practices Pattern Library

Name: Best Practices Pattern Library
Author: yonatangross

byyonatangross

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学習とドキュメンテーション

Aggregates and manages a persistent library of successful development patterns and anti-patterns across all your Claude Code projects.

概要

The Best Practices skill acts as a centralized knowledge repository for developers using Claude Code, enabling the tracking of implementation outcomes across multiple repositories. By leveraging mem0 for long-term memory, it categorizes patterns—such as database architectures or authentication flows—into successes and failures, providing proactive warnings and success rate statistics. This tool is essential for developers who want to codify institutional knowledge, avoid repeating past technical mistakes, and maintain high code quality standards through automated pattern recognition and historical analysis.

主な機能

Categorized success and anti-pattern library management
Proactive integration for detecting known failures in real-time
Cross-project pattern tracking using mem0 memory integration
Advanced filtering by category, warnings, or successes
Automated success rate statistics and confidence indicators
29 GitHub stars

ユースケース

Auditing a new repository against previously identified architectural anti-patterns
Analyzing the success rate of specific technologies like JWT vs. session auth across different environments
Building a persistent personal knowledge base of coding solutions that scale

概要

主な機能

Categorized success and anti-pattern library management
Proactive integration for detecting known failures in real-time
Cross-project pattern tracking using mem0 memory integration
Advanced filtering by category, warnings, or successes
Automated success rate statistics and confidence indicators
29 GitHub stars

ユースケース

Auditing a new repository against previously identified architectural anti-patterns
Analyzing the success rate of specific technologies like JWT vs. session auth across different environments
Building a persistent personal knowledge base of coding solutions that scale