opencode-ultimate-setup

MADR format, decision log best practices, superseding decisions

AWS service selection, well-architected lens, cost patterns

Managed vs self-hosted, multi-cloud, egress costs

Docker, Kubernetes, ECS, Fly.io, Railway — when to use each

Scalability patterns, CAP theorem, database selection, caching

You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.

Use when the user wants to design a mobile app, create screens, build UI, or interact with their Sleek projects. Covers high-level requests ("design an app that does X") and specific ones ("list my projects", "create a new project", "screenshot that screen").

Optimizes the context provided to an AI model by deduplicating, filtering, reordering, and scoring information to maximize relevance and token efficiency.

Ranks retrieved context chunks by relevance, diversity, and utility using scoring algorithms and multi-stage pipelines to surface the best information for a given query.

Retrieves and synthesizes relevant information from a knowledge base using RAG techniques to provide grounded context for a given query.

Analyze datasets to extract insights through statistical methods, trend identification, hypothesis testing, and correlation analysis.

Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and programmatic weak supervision.

Conduct in-depth, multi-step research on a given topic by decomposing queries, finding diverse sources, cross-referencing findings, and synthesizing a comprehensive report.

Perform systematic exploratory data analysis to understand dataset structure, distributions, relationships, and anomalies before modeling.

Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget.

Conduct a structured literature review on a given topic by defining a search strategy, applying inclusion and exclusion criteria, extracting key findings, and synthesizing results into a coherent academic review.

A skill to create, manage, and automate machine learning pipelines.

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms.

Train machine learning models end-to-end, covering data loading, preprocessing, architecture selection, training loops, validation, and checkpointing.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.