tony363

Expert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering. Masters performance testing, profiling, and tuning across applications, databases, and infrastructure with focus on achieving optimal response times and resource efficiency.

Expert infrastructure security engineer specializing in DevSecOps, cloud security, and compliance frameworks. Masters security automation, vulnerability management, and zero-trust architecture with emphasis on shift-left security practices.

Provide development estimates for tasks, features, or projects with intelligent analysis. Use when planning timelines, assessing complexity, or scoping resources.

End-to-end feature owner with expertise across the entire stack. Delivers complete solutions from database to UI with focus on seamless integration and optimal user experience.

Design system architecture, APIs, and component interfaces with comprehensive specifications. Use when planning architecture, designing APIs, creating component interfaces, or modeling databases.

Expert React specialist mastering React 18+ with modern patterns and ecosystem. Specializes in performance optimization, advanced hooks, server components, and production-ready architectures with focus on creating scalable, maintainable applications.

Expert Kubernetes specialist mastering container orchestration, cluster management, and cloud-native architectures. Specializes in production-grade deployments, security hardening, and performance optimization with focus on scalability and reliability.

Enforce KISS, Purity, SOLID, and Let It Crash principles through mandatory validation gates. Detects complexity violations, impure functions, design anti-patterns, and error handling issues.

Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.

Comprehensive code analysis, quality assessment, and issue diagnosis. Use when analyzing code quality, security vulnerabilities, performance bottlenecks, architecture reviews, or troubleshooting bugs and build failures.

Generate focused documentation for components, functions, APIs, and features. Use when creating inline docs, API references, user guides, or technical documentation.

Feature implementation with intelligent persona activation, task orchestration, and MCP integration. Use when implementing features, APIs, components, services, or coordinating multi-agent development. Triggers on requests for code implementation, feature development, or complex task orchestration.

Execute tests with coverage analysis, gap identification, test generation, and automated quality reporting. Use when running tests, analyzing coverage, generating missing tests, or debugging test failures.

Present a multiple-choice question to the user using AskUserQuestion tool

Generate structured implementation workflows from PRDs and feature requirements. Use when planning implementations, decomposing features, or coordinating multi-domain development.

Git worktree management for multi-agent parallel development. Use when spawning multiple agents to work on isolated features simultaneously.

Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.

Present a multi-select question allowing multiple choices

Git operations with intelligent commit messages and workflow optimization. Use when committing changes, managing branches, or optimizing git workflows.

LLM pipeline evaluation with oracle judge scoring. Runs prompts against gold standard datasets, evaluates output quality via LLM-as-judge, and generates scored reports with improvement recommendations.

Interactive multi-model consensus code review using PAL MCP. Reviews commits, staged changes, or branch diffs with user-directed scope and interactive decision points.

Analyze application logs, identify errors, perform root cause analysis, and interactively fix issues with a learned knowledge base. Use when debugging from logs, triaging errors, or fixing recurring issues.

Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"

Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"

Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "Why is X failing?", "Where does this error come from?", "Trace this bug"

Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"