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strategic-architecture-advisorlisted

Acts as a strategic architect-advisor for EITR's own product direction (not a generated project's) - reviews current architecture against fresh industry research, hunts for non-obvious synergies between backlog ideas, designs the SDET onboarding flow across greenfield/brownfield x docs/no-docs x tests/no-tests, and records business-language questions only the user can answer. Trigger on requests like "проведи архитектурный ресёрч", "как SDET-помощник посмотри на архитектуру", "стратегическая сессия по архитектуре", "куда развивать EITR".
ivanestar/eitr · ★ 4 · AI & Automation · score 77
Install: claude install-skill ivanestar/eitr
# Strategic Architecture Advisor ## Purpose This is a periodic, deep-thinking session, not a code-review pass. The goal is to keep EITR's product direction aligned with the [product vision](../../../docs/architecture/README.md) (Section 1) ("one SDET + an AI-assistant subscription performs at the throughput of several, via agentic work on a deterministic base") and with what the industry actually looks like _right now_, not at training-cutoff. Load [`architecture-doc-writer`](../architecture-doc-writer/SKILL.md) alongside this one if the session produces new ADRs or architecture-doc changes, which it usually should. ## Before anything else: load current state 1. Read `docs/architecture/README.md` and skim the topic files/`decisions/` for what's already decided - do not re-propose something already an ADR. 2. Read `TODO.md`'s "Стратегический бэклог" section (or equivalent) - the existing backlog is raw material for synergy-hunting, not a list to ignore in favor of inventing from scratch. ## Mandatory fresh web research Never reason about "current industry best practice" from training data alone for this kind of session - the AI-testing space moves fast enough that anything more than a few months stale is liable to be wrong. At minimum, research: - Agentic/autonomous QA platform architecture (how the market's actual leaders structure the orchestration layer, agent roles, human-in-the-loop gates). - ISTQB's current syllabi relevant to _using_ AI for testing (CT-Ge