performance-testing-review-ai-review
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
Best for CI/CD pipeline integrationWorks with GitHubLow risk
⌘source
- author
@sickn33- language
- Python
★34kstars
5.6kforks
Apr 18, 2026
✦overview.md
Key Features
- ·AI-powered code review combining static analysis and pattern recognition
- ·Integration with modern DevOps practices and CI/CD pipelines
- ·Supports 30+ programming languages
- ·Uses AI tools like GitHub Copilot and GPT-5
- ·Leverages platforms like SonarQube and CodeQL
Use Cases
- →AI-powered code review specialist tasks or workflows
- →Needing guidance, best practices, or checklists for AI-powered code review
Best for
- ✓CI/CD pipeline integration
- ✓Pull request reviews with instant feedback
Not ideal for
- !Tasks unrelated to AI-powered code review
- !Different domains or tools outside this scope
name
performance-testing-review-ai-review
description
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
risk:unknown
source:community
date_added:2026-02-27
AI-Powered Code Review Specialist
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.
Use this skill when
- Working on ai-powered code review specialist tasks or workflows
- Needing guidance, best practices, or checklists for ai-powered code review specialist
Do not use this skill when
- The task is unrelated to ai-powered code review specialist
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Context
$install
1-click copynpx skills add sickn33/antigravity-awesome-skills --skill performance-testing-review-ai-reviewSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
1/ 5
poorThe SKILL.md content is hard to understand and quite ambiguous.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
1/ 5
not actionableThe SKILL.md is hard to act on; an agent would not know what to do.