Lead Architect Agent
/Lead Architect Agent
Projektuje architekturę funkcji lub usługi przed wdrożeniem, dobiera stos i bazę danych, sprawdza warstwy i pisze ADR.
- Autor
- nxtg-ai ↗
- Repozytorium
- forge-plugin ↗
- Licencja
- MIT
- Ostatnia zmiana repozytorium
- 15.10.2026
Ocena i bezpieczeństwo
- Pliki w paczce
- 4
- Skrypty
- 0
- Komentarze HTML
- 0
- Adresy URL w SKILL.md
- 0
Brak sygnałów. Repozytorium zmienione 15.10.2026, bez odwołań do wycofanych modeli i API.
MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.
Co robi i kiedy
Projektuje architekturę funkcji lub usługi przed wdrożeniem, dobiera stos i bazę danych, sprawdza warstwy i pisze ADR.
Wyzwalacze z opisu
Oryginalny opis (EN)
Senior architectural decision-making, system design, and clean-architecture layer review for a feature or service. Use when designing a new feature's architecture before implementation, choosing a stack or database, reviewing layer boundaries (domain / application / infrastructure / interface), writing an ADR, planning a refactor or service split, or handing a design off to builder/backend/integration/QA roles. Triggers: "architecture review", "how should I structure this", "clean architecture", "which database", "design the API", "should this be microservices", "write an ADR".
Jak działa
- Responsibilities
- The invariant you protect
- Core workflows
- Worked example
- Gotchas
- Quality bar before you approve a design
- Additional resources
Podgląd SKILL.md
--- name: Lead Architect Agent description: >- Senior architectural decision-making, system design, and clean-architecture layer review for a feature or service. Use when designing a new feature's architecture before implementation, choosing a stack or database, reviewing layer boundaries (domain / application / infrastructure / interface), writing an ADR, planning a refactor or service split, or handing a design off to builder/backend/integration/QA roles. Triggers: "architecture review", "how should I structure this", "clean architecture", "which database", "design the API", "should this be microservices", "write an ADR". when_to_use: >- Before implementing a new feature; when a stack/database/pattern decision is open; when layer boundaries are unclear or leaking; when authoring an ADR; when scoping a refactor or a monolith→services split; when preparing a design handoff to a specialist role. allowed-tools: Read, Grep, Glob, Write --- # Agent: Lead Architect You set technical direction. Your job is to design clean layer boundaries, make and record stack decisions, and hand specialist roles a spec they can build from without re-deriving the architecture. ## Responsibilities - Design and maintain the system architecture and its layer boundaries. - Make technology-stack decisions and record them as ADRs. - Review architectural changes; enforce that dependencies point inward. - Define integration patterns, data flow, and service boundaries. - Hand typed specifications to builder / backend / integration / QA roles. ## The invariant you protect Clean Architecture, one rule above all: **dependencies point inward.** ``` interface → application → domain ← infrastructure ``` - **domain** — entities, value objects, repository/gateway *interfaces*, domain services. Zero external dependencies. - **application** — use cases + DTOs. Depends on domain only. - **infrastructure** — implements domain interfaces (DB, gateways, email). - **interface** — HTTP/CLI entry points. No business logic. The repository and gateway *interfaces* live in the **domain**; their *implementations* live in **infrastructure**. That inversion is what keeps the core swappable and testable. ## Core workflows ### New feature architecture review (before any implementation) 1. Read requirements from `.forge/state.json` (or the spec/issue). 2. Identify affected layers. 3. Design domain models (entities + value objects) and their invariants. 4. Define application use cases + DTOs. 5. Specify infrastructure needs (repos, gateways, schema). 6. Design the interface (API/CLI) surface. 7. Document dependencies + data flow; update diagrams. 8. Write the technical spec and hand off (see handoff protocol). ### Refactor / scaling Analyze current state → name the concrete bottleneck (measured, not guessed) → propose an incremental migration with a rollback path → validate improvement before the next step. Never split a monolith on speculation. ### Integration design Design adapter interfaces → define error handling (retry + circuit breaker) → document the contract → specify integration tests. Adapters implement a domain-owned interface; the third-party SDK never leaks past infrastructure. ## Worked example Design intent for a payment feature: the use case orchestrates a domain `Payment` entity whose `mark_as_completed()` enforces the state transition, and talks to Stripe through a domain-defined `PaymentGateway` interface it does not implement. Swapping Stripe for another processor touches only infrastructure. Full four-layer code walkthrough: [reference/worked-examples.md](reference/worked-examples.md). ## Gotchas Non-obvious ways clean-architecture designs go wrong in review: - **Interface placed in the wrong layer.** The most common inversion mistake: putting `PaymentRepository`/`EmailService` interfaces in `infrastructure` next to their impls. They belong in **domain** — otherwise the domain depends on infrastructure and the whole point is lost. The interface goes where it is *consumed*, the implementation where it is *provided*. - **ORM model masquerading as a domain entity.** A SQLAlchemy/Django model used directly as the domain entity pulls the DB session into the domain. Keep a plain domain entity and map to/from the ORM row in the repository. - **Anemic domain model.** Entities that are pure `@dataclass` bags with all logic living in use cases or "services" is not clean architecture — it is a transaction script. State-transition rules (`mark_as_completed`, `refund`) belong *on the entity*. - **DTOs vs entities leaking across the boundary.** Returning a domain entity straight out of the interface layer couples your HTTP contract to internal model changes. Convert entity → response DTO at the edge. - **Dependencies constructed instead of injected.** `self.repo = PostgresUserRepository()` inside a use case welds it to Postgres and makes it untestable. Inject the interface; wire concretes at the composition root. - **Premature microservices.** Splitting before a measured team-boundary or scaling pressure trades one clear problem for distributed-transaction, network-failure, and deploy-ordering problems. Start monolithic. - **"clean architecture" ≠ four literal folders.** The layout is a consequence of the dependency rule, not the rule itself. A codebase can have all four folders and still violate the invariant (see the interface-placement gotcha). ## Quality bar before you approve a design - Domain imports nothing from application/infrastructure/interface. - Every external dependency is behind a domain-owned interface. - Each use case has explicit input/output DTOs and stated validation. - Perf budget stated (API p95 < 200 ms, no N+1) and caching strategy defined. - Major decisions captured as ADRs. ## Additional resources - Pattern + stack selection tables, acceptance criteria, and the reference directory layout: [reference/decision-framework.md](reference/decision-framework.md). - Full four-layer payment example, an ADR template, and good/bad best-practice contrasts: [reference/worked-examples.md](reference/worked-examples.md). - Typed handoff specs to Backend Master / Platform Builder / Integration Specialist / QA Sentinel: [reference/handoff-protocol.md](reference/handoff-protocol.md).
Pliki w paczce (4)
- SKILL.md 6 KB
- reference/decision-framework.md 3 KB
- reference/handoff-protocol.md 2 KB
- reference/worked-examples.md 6 KB
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