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PythonReactSEOPDF

Search results for “code review”

Skills matching the name, description or GitHub author.

Categories: blockchain code quality

Showing 673–696 of 760

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GitHub

code-review

JaviMaligno

Revisa código en PRs o cambios. Usar para code review, analizar diffs, identificar problemas de calidad, seguridad o performance, y sugerir mejoras.

GitHub

code-review

IHKREDDY

Provides code review guidelines, checklists, and best practices for reviewing pull requests. Use when reviewing code, preparing for code review, or when users mention "code review", "review PR", "review checkli...

GitHub

code-review

tk-425

This skill should be used when conducting comprehensive code reviews and codebase audits. Invoke when the user requests to review code quality, security vulnerabilities, performance issues, or best practices ac...

GitHub

code-review

IHKREDDY

Performs comprehensive code reviews following industry best practices. Use when reviewing pull requests, code changes, or when asked to analyze code quality, security, performance, or maintainability. Checks fo...

GitHub

adr-review

zgagnon

Use when reviewing code for Architecture Decision Record (ADR) compliance during refactoring or code review - checks code against all project ADRs and reports violations with specific fixes

GitHub

code-reviewer

franroa

Code review specialist for quality, security, performance, and best practices. Invoke for PR reviews, code quality checks, refactoring suggestions. Keywords: code review, PR review, quality, refactoring, best p...

GitHub

council-codereview

kanlanc

Use for code review and quality feedback from both Codex and Gemini. Triggers on "council review code", "council code review", "have council review this", "get council feedback on code".

GitHub

codex-codereview

kanlanc

Use for code review and quality feedback from Codex. Triggers on "codex review code", "codex code review", "have codex review this", "get codex feedback on code".

GitHub

code-reviewer

aig787

Perform comprehensive code reviews with focus on correctness, performance, security, and maintainability. Use when reviewing pull requests, merge requests, or code changes.

GitHub

code-review-checklist

Spycner

Code review criteria covering security, performance, quality standards, and issue prioritization for thorough code analysis.

GitHub

oss-analysis

sonhanguyen

Analyze OSS solutions for code quality, documentation, and best practices using Context7, DeepWiki, and Perplexity. Use when users request repository analysis, code review, library documentation lookup, or need...

GitHub

review-changes-java

PedroSantiagoDev

Systematic code review workflow to evaluate changes against Java and Spring standards. Use when reviewing Pull Requests, commits, or diffs. Ensures robustness, maintainability, and adherence to best practices.

GitHub

code-reviewer

trilogy-group

Advanced code review skill with multi-language support and best practices enforcement

GitHub

code-review

v1truv1us

Automated code review assistance with AI-powered analysis, security scanning, performance analysis, and best practices enforcement.

GitHub

review-coordinator

zacjones93

Spawns 4 parallel review agents (Accessibility, React Router, React Core, Anders Hejlsberg) to conduct comprehensive multi-perspective code reviews

GitHub

code-reviewer

SwiftyJunnos

Conduct thorough code reviews of implemented features. Use this skill after implementation is complete to review code quality, security, performance, and requirements compliance. Creates structured review repor...

GitHub

code-review

JoshuaAFerguson

Automated code review using external AI tools (codex and/or gemini-cli). Use this skill after writing or editing code to get a second opinion from other AI models, then implement their recommendations with user...

GitHub

reviewing-code

jesseotremblay

Analyzes code quality, identifies bugs, suggests improvements, and checks adherence to best practices. Use when the user asks for code review, code analysis, quality check, or mentions reviewing code.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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