vasilyu1983

Designs runtime topology in a chosen solution. Use when choosing monolith vs services, cells, consistency, ADRs. Not for cross-system design (software-solution-architecture).

Guides founder-PM discovery, roadmaps, prioritization, and PMF measurement. Use when planning product strategy, metrics, or roadmaps.

Builds Excel charts, pivots, validation, exports, Office Scripts/Graph automation, and workbook audits. Use when automating workbooks; for plain edits prefer official xlsx skill.

Designs and audits UI/UX systems with usability and accessibility requirements. Use when shaping flows, design systems, interaction patterns, or WCAG-aware product behavior.

Handles PDF/UA accessibility, real redaction, metadata scrubbing, signing, and extraction. Use when redacting or signing PDFs; for plain create/merge prefer the official pdf skill.

Builds and debugs Playwright E2E suites. Use when authoring browser tests, fixing flakes, or hardening Playwright CI and locator strategy.

Designs risk-based test strategy for software delivery. Use when defining coverage, setting CI gates, managing flaky tests, choosing test layers, or establishing release criteria.

Builds docxtpl templates, DOCX extraction for RAG, and EAA accessibility checks. Use when templating Word or extracting tables; plain edits and redlines: official docx skill.

Builds ML pipelines: EDA, features, leakage checks, evaluation. Use when doing data science or explaining fairness, privacy, speech, vision-language, or diffusion mechanics.

Guides secure blockchain development across EVM, Bitcoin, Solana, Cosmos, and TON. Use when building contracts, wallets, custody flows, bridges, or on-chain backends.

Builds and backtests demand and revenue forecasts: rolling-origin backtests, prediction intervals, reconciliation, zero-shot foundation models. Use when forecasting time series.

Builds backend services and APIs with durable defaults. Use when implementing REST, GraphQL, tRPC, or gRPC services with auth, queues, data, or observability.

Plans mobile QA automation for iOS and Android apps. Use when planning automation frameworks, device matrix, flake control, or CI/CD release gates.

Prompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.

Visual marketing asset creation for ads, social media, email, presentations, and brand collateral. Platform-specific dimensions, creative best practices, AI design tools, and conversion-focused visual hierarchy. Use when you need production-ready marketing visuals.

Builds web frontend UI and rendering. Use when implementing components or fixing hydration, SSR, routing, or state; UX, accessibility, and performance audits have other owners.

Guides user research and research ops. Use when running interviews, usability tests, surveys, or synthesis to de-risk product decisions; not experiments or review mining.

Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, Copilot, or Codex.

AI agent architecture, graph and loop composition, protocol choice, evaluation, and observability. Use when scoping or reviewing systems before implementation.

Refactors code while preserving behavior. Use when reducing technical debt, planning codemods, applying strangler migrations, or tightening CI guardrails around risky changes.

Use when validating a startup idea before building. Produces evidence-based GO/NO-GO decisions using a 9-dimension scorecard (problem, market, timing, moat, unit economics, founder-market fit, feasibility, GTM, risk), a validation ladder (interviews - smoke test - concierge/WoZ - paid pilot), and riskiest-assumption-first experiments.

Guides iOS testing with XCTest, XCUITest, Swift Testing, simctl, and xcresult. Use when choosing destinations, controlling flakes, or parsing test artifacts for native apps.

Runs production ML and LLM systems. Use when deploying, canarying, rolling back, monitoring drift or feature skew, promoting champions, migrating providers, or handling incidents.

Guides mobile platform selection and delivery across native and cross-platform stacks. Use when planning auth, push, deep links, releases, or app architecture for iOS/Android.

Adapts LLMs: SFT dataset loss masking, LoRA and QLoRA, full FT vs PEFT, distillation, pruning, tokenizer fragmentation. Use when fine-tuning or compressing a model.

Designs RAG retrieval for LLM grounding: chunking, BM25+vector hybrid, reranking, GraphRAG. Use when adding embeddings to SQLite FTS5 search or running held-out retrieval eval.

LLM serving for latency, batching, caching, quantization, and routing. Use when tuning vLLM or SGLang, sizing KV cache, adding speculative decoding, or cutting serving cost.

Designs lakehouse platforms across Iceberg, Delta, Hudi, and Paimon. Use when choosing catalogs, CDC paths, query engines, governance, or cost controls.

Designs and tests distributed-system resilience. Use when adding retries, deadlines, hedging, circuit breakers, overload protection, chaos experiments, or SLO reliability gates.

Designs production payment and billing systems. Use when implementing Stripe, Paddle, Adyen, subscriptions, tax, marketplaces, or mobile purchase flows.

Automates Metabase cards, dashboards, Remote Sync, embedding, tenants, and the Agent API/MCP server for AI workflows. Use when scripting, promoting, or embedding Metabase content.

Use when building or fixing B2B pipeline. Revenue-aligned demand generation with lead types, funnel design, conversion paths, scoring/routing, attribution, ABS motions, and compliance.