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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
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/ranbot-ai/awesome-skills --skill performance-testing-review-ai-review명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| 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 |
| category | Security & Systems |
| source | antigravity |
| tags | ["python","javascript","typescript","api","claude","ai","agent","llm","gpt","automation"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/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, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.
resources/implementation-playbook.md.Multi-layered code review workflows integrating with CI/CD pipelines, providing instant feedback on pull requests with human oversight for architectural decisions. Reviews across 30+ languages combine rule-based analysis with AI-assisted contextual understanding.
Review: $ARGUMENTS
Perform comprehensive analysis: security, performance, architecture, maintainability, testing, and AI/ML-specific concerns. Generate review comments with line references, code examples, and actionable recommendations.
Execute in parallel:
# Context-aware review prompt for Claude 4.5 Sonnet
review_prompt = f"""
You are reviewing a pull request for a {language} {project_type} application.
**Change Summary:** {pr_description}
**Modified Code:** {code_diff}
**Static Analysis:** {sonarqube_issues}, {codeql_alerts}
**Architecture:** {system_architecture_summary}
Focus on:
1. Security vulnerabilities missed by static tools
2. Performance implications at scale
3. Edge cases and error handling gaps
4. API contract compatibility
5. Testability and missing coverage
6. Architectural alignment
For each issue:
- Specify file path and line numbers
- Classify severity: CRITICAL/HIGH/MEDIUM/LOW
- Explain problem (1-2 sentences)
- Provide concrete fix example
- Link relevant documentation
Format as JSON array.
"""
interface ReviewRoutingStrategy {
async routeReview(pr: PullRequest): Promise<ReviewEngine> {
const metrics = await this.analyzePRComplexity(pr);
if (metrics.filesChanged > 50 || metrics.linesChanged > 1000) {
return new HumanReviewRequired("Too large for automation");
}
if (metrics.securitySensitive || metrics.affectsAuth) {
return new AIEngine("claude-3.7-sonnet", {
temperature: 0.1,
maxTokens: 4000,
systemPrompt: SECURITY_FOCUSED_PROMPT
});
}
if (metrics.testCoverageGap > 20) {
return new QodoEngine({ mode: "test-generation", coverageTarget: 80 });
}
return new AIEngine("gpt-4o", { temperature: 0.3, maxTokens: 2000 });
}
}
type MicroserviceReviewChecklist struct {
CheckServiceCohesion bool // Single capability per service?
CheckDataOwnership bool // Each service owns database?
CheckAPIVersioning bool // Semantic versioning?
CheckBackwardCompatibility bool // Breaking changes flagged?
CheckCircuitBreakers bool // Resilience patterns?
CheckIdempotency bool // Duplicate event handling?
}
func (r *MicroserviceReviewer) AnalyzeServiceBoundaries(code string) []Issue {
issues := []Issue{}
if detectsSharedDatab