.Agent

Code quality principles and best practices

Pull request lifecycle domain knowledge — branch strategy detection, PR size classification, confidence-scored review, git-aware context, PR analytics, dependency management, and split/merge/describe operations.

Application scaffolding orchestrator. Creates full-stack applications from requirements, selects tech stack, coordinates agents.

RESTful API design patterns and best practices

System design patterns, DDD, 12-Factor App, SOLID principles, event-driven architecture, and architectural decision frameworks

Evaluation framework for measuring agent performance

Git workflow patterns and best practices

Structured task planning with clear breakdowns, dependencies, and verification criteria.

Socratic questioning and discovery protocol. Ensures requirements clarity before implementation.

Mobile UI/UX patterns for iOS and Android. Touch-first, platform-respectful design with React Native/Expo focus.

UI/UX design intelligence with anti-AI-slop philosophy. 50+ styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks.

Context window budget management and selective capability loading for LLM token optimization.

Web application testing principles. E2E, Playwright, component testing, and deep audit strategies.

Database schema design, optimization patterns, distributed system consistency models, and zero-downtime migration strategies

Docker and containerization best practices

Model Context Protocol (MCP) integration patterns for extending AI capabilities with external tools and data sources.

Node.js and backend framework best practices

Multi-agent orchestration patterns for complex tasks requiring multiple domain expertise or comprehensive analysis.

Quality gate for implementation plans. Validates schema compliance, cross-cutting concerns, and completeness scoring before user presentation.

AI operational modes (brainstorm, implement, debug, review, teach, ship). Adapts behavior based on task type for Trust-Grade execution.

Testing strategies and patterns for quality assurance

Internationalization and localization patterns for multi-language applications

PowerShell shell conventions for Windows. Avoid bash-isms. Reference before running terminal commands.

Context window management with strategic compaction

Advanced TypeScript patterns and best practices

Comprehensive verification running all quality gates

Application security best practices including Zero Trust principles, OAuth 2.0 / OpenID Connect flows, API security, supply chain security, and vulnerability prevention

Extract reusable patterns from sessions and save them as knowledge

Automatic agent selection and intelligent task routing. Analyzes user requests and selects the best specialist agent(s) for Trust-Grade execution.

Systematic debugging approaches for complex problems

Production readiness audit domains, weighted scoring criteria, and check specifications for the /preflight workflow.

Production deployment workflows, rollback strategies, and CI/CD best practices.

Performance profiling principles. Core Web Vitals, measurement, analysis, and optimization.