Use when designing, reviewing, validating, debugging, or improving LLM evals and agent workflow evals. Trigger for eval-driven development, task-specific eval datasets, graders, rubrics, LLM-as-judge, human calibration, traces, transcripts, tool-call evaluation, argument validation, guardrail evaluation, handoff evaluation, multi-turn agent tasks, capability evals, regression evals, pass@k/pass^k, model/prompt/tool upgrades, continuous evaluation, and production feedback loops for LLM or agent systems.
Use when framing, reviewing, validating, or communicating product engineering decisions through business/product consulting judgment. Trigger for business value analysis, product strategy, product/market analysis, PRD/RFC/memo/deck/executive-summary writing or review, SCR/SCQA/Pyramid Principle communication, MECE/issue-tree problem structuring, UI/UX review with product/business lens, developer productivity measurement with SPACE, AI-assisted development rollout with DORA 2025, Team Topologies/org-flow/ownership reviews, risk/second-order-effect analysis, and future-facing product/system tradeoff decisions.
Use when designing, reviewing, validating, debugging, implementing, or releasing Flutter applications, especially production Flutter apps targeting iOS. Trigger for Flutter app architecture, MVVM/ViewModel/repository/service layers, Dart async and isolates, Flutter state management, widgets/navigation, platform plugins and channels, Swift Package Manager/CocoaPods iOS dependencies, Flutter persistence/cache/offline design, permissions/privacy, performance/jank/memory, testing/debugging/observability, TestFlight/App Store signing and release readiness, and long-term Flutter app maintenance.
Use when designing, reviewing, validating, debugging, implementing, or releasing production iOS applications built with Flutter, SwiftUI, UIKit, or mixed Flutter/native code. Trigger for iOS app architecture, Flutter MVVM/ViewModel/repository/service design, Swift/native architecture, SwiftUI state and navigation, platform plugins and channels, Swift Package Manager/CocoaPods dependency issues, SwiftData and local persistence, async/concurrency/lifecycle, permissions/privacy/security, performance/memory/battery, testing/debugging/observability, TestFlight/App Store signing and release readiness, and long-term iOS app maintenance.
Use when designing, reviewing, validating, debugging, or improving ML-based systems and ML product architecture. Trigger for ML system design interviews, design docs, architecture reviews, problem framing, build-vs-buy decisions, metrics/loss selection, data and labeling plans, validation/leakage/split strategy, baseline planning, error analysis, training pipelines, feature stores, A/B experiments, integration/API/release plans, serving/inference optimization, monitoring, drift handling, reliability, ownership, and long-term maintenance.
Use when designing, reviewing, validating, debugging, or improving products, product discovery, UI/UX, AI/ML product experiences, design systems, product metrics, business outcomes, assumption tests, user research plans, opportunity-solution trees, feature proposals, product requirements, UX reviews, launch/readiness plans, governance, adoption, and long-term product maintenance.
Use when designing, reviewing, validating, debugging, or improving classic software QA strategy and automated test suites. Trigger for autotests, unit tests, integration tests, contract tests, end-to-end tests, test pyramid decisions, flaky tests, test doubles, mocks, fakes, stubs, test coverage, test maintainability, CI/CD quality gates, release validation, exploratory testing, and production feedback for non-LLM software systems.
Use when designing, reviewing, validating, refactoring, testing, documenting, migrating, or operating long-lived software systems through Google-style software engineering practices. Trigger for maintainability, code health, API compatibility, Hyrum's Law, tradeoff analysis, team knowledge sharing, engineering productivity metrics, style guides, code review, documentation, unit tests, test doubles, larger tests, version control, branching, build systems, dependency management, code search, static analysis, deprecation, large-scale changes, CI/CD, release safety, managed compute, and production-facing software design.