Can I add patterns manually?

Yes. While the 'knowledge-writer' agent automatically captures patterns during successful fixes, developers can manually contribute to the library using the standardized pattern format.

How does the skill handle similar issues?

The skill uses a similarity threshold: if a new issue is 70% similar to an existing one, it appends the new instance to the current pattern; otherwise, it proposes a new entry.

What technical stacks are supported?

The skill is designed to be stack-agnostic and currently includes pre-defined categories for Backend, Frontend, and E2E testing patterns.

How does this skill help with PR reviews?

It allows Claude to match incoming review comments against a library of known issues, providing instant suggestions for proven fixes and reducing repetitive analysis.

What is a Knowledge Pattern?

A Knowledge Pattern is a documented record of a specific code issue, its severity, and the recommended solution derived from previous successful pull request reviews.

Knowledge Patterns for PR Reviews

Name: Knowledge Patterns for PR Reviews
Author: penkzhou

bypenkzhou

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Herramientas de Colaboración

Maintains a searchable library of recurring PR review issues and proven solutions to automate and standardize the code correction process.

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The Knowledge Patterns skill transforms Claude Code into a self-learning repository for development best practices and recurring bug fixes. By capturing insights from previous pull request reviews, it builds a structured knowledge base categorized by technical stacks like Backend, Frontend, and E2E. The skill enables automated agents to classify review comments with high confidence and provides human developers with a reference guide for institutional knowledge, ensuring that common pitfalls are solved once and never repeated across the codebase.

Características Principales

Standardized YAML metadata for tracking severity and fix history
Intelligent pattern merging to prevent duplicate documentation
Searchable index for rapid reference during code review cycles
Automated pattern accumulation from high-confidence PR fixes
1 GitHub stars
Cross-stack classification for Backend, Frontend, and E2E domains

Casos de Uso

Accelerating developer onboarding by documenting common project-specific pitfalls
Standardizing UI implementations based on recurring frontend review feedback
Identifying and resolving silent error handling patterns in backend services

Acerca de

Características Principales

Standardized YAML metadata for tracking severity and fix history
Intelligent pattern merging to prevent duplicate documentation
Searchable index for rapid reference during code review cycles
Automated pattern accumulation from high-confidence PR fixes
1 GitHub stars
Cross-stack classification for Backend, Frontend, and E2E domains

Casos de Uso

Accelerating developer onboarding by documenting common project-specific pitfalls
Standardizing UI implementations based on recurring frontend review feedback
Identifying and resolving silent error handling patterns in backend services