Agent skill · DevOps & Cloud

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

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorcopilotMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill performance-testing-review-ai-review --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 16 KB
Bundled scripts: none
Path: skills/performance-testing-review-ai-review/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 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 contex

What's inside
Steps it walks through
  1. Use this skill when
  2. Do not use this skill when
  3. Instructions
  4. Context
  5. Requirements
  6. Automated Code Review Workflow
  7. Initial Triage
  8. Multi-Tool Static Analysis
  9. AI-Assisted Review
  10. Model Selection (2025)
  11. Review Routing
  12. Architecture Analysis
  13. Architectural Coherence
  14. Microservices Review
Commands it runs
trufflehog git file://. --json | \
jq '.[] | select(.Verified == true) | {
More from agentic-awesome-skills
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About this skill
What does the performance-testing-review-ai-review skill do?

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

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill performance-testing-review-ai-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going