ln-73-system-design-proposal-builder
Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.
git clone --depth 1 https://github.com/levnikolaevich/claude-code-skills /tmp/ln-73-system-design-proposal-builder && cp -r /tmp/ln-73-system-design-proposal-builder/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder ~/.claude/skills/ln-73-system-design-proposal-builderSKILL.md
# System Design Proposal Builder **Goal:** Create a proportionate, evidence-backed target system design that turns requirements into explicit boundaries, contracts, data flow, failure behavior, operations, and tradeoffs. Change only the approved design document; do not implement, audit, or approve the delivery. **Execution contract:** Treat the ordered checkbox workflow below as this skill's Definition of Done. Track every checkbox as `PENDING`, then resolve it to `PROVEN` with concrete evidence, `CLEARED` with evidence that its conditional trigger is absent, or `UNPROVEN`; reading, mentioning, delegating, skipping, or tool failure is not proof. Before returning, resolve every `PENDING`, count only `PROVEN` and `CLEARED` items as complete, apply this skill's verdict, decision, and approval rules to every `UNPROVEN`, and prepend **Checklist: X/Y complete**<br>**Incomplete: None | section/item — reason; outcome impact; exact next action**; list every `UNPROVEN` item. ## Tool Routing | Need | Preferred capability | Fallback | |---|---|---| | Requirements and constraints | Approved requirements, baseline, decisions, and direct stakeholder input | Mark material gaps and ask the smallest decision question | | Current implementation and conventions | Repository search, manifests, entrypoints, and architecture artifacts | Treat as greenfield only when the user or repository establishes that fact; otherwise mark current state `UNKNOWN` and return `REVISE` or `BLOCKED` when the gap can change boundaries, compatibility, or migration | | External capabilities and limits | Current official documentation and specifications | Mark claims `UNVERIFIED`; avoid vendor-dependent commitment | | Estimates | Reproducible arithmetic from sourced workload assumptions | Use ranges and sensitivity; never present estimates as measurements | | Document mutation | Minimal patch to the approved target-design artifact | Return `BLOCKED` if scope or path is unsafe | Use patterns as candidate solutions, not goals. Introduce infrastructure only when a requirement, failure mode, ownership boundary, or measured horizon pays for its lifecycle cost. ## Artifact Rules - Reuse a clear target-design document; otherwise use `docs/architecture/target-design.md`. - Read available baseline, current-state, decision, interface, diagram, and migration artifacts by path; none is mandatory. - Label facts, assumptions, estimates, proposed decisions, and unresolved choices separately. - Start with requirements and estimates, then domains and contracts, HLD, and only the critical LLD. - Consider at least two credible alternatives for consequential decisions, including the simplest option. - Prefer reversible choices and a modular monolith unless evidence justifies independent service boundaries. - Do not silently change an accepted decision; record the conflict and required governance action. ## Checklist ### 1. Frame the Design - [ ] Resolve business outcome, actors, critical journeys, scope, non-goals, decision horizon, and intended readers. - [ ] Read repository instructions and inspect relevant architecture artifacts and current implementation. - [ ] Extract functional requirements and measurable quality drivers, preserving their source and status. - [ ] Identify architecture-critical unknowns and ask only questions whose answers change the target shape. - [ ] Return `BLOCKED` when a required business boundary or safety constraint cannot be responsibly assumed. ### 2. Estimate Before Choosing Components - [ ] Estimate average and peak request or event rates, concurrency, payload and bandwidth, storage growth, retention, and recovery volume where relevant. - [ ] Show formulas, ranges, growth horizon, and assumptions; identify the variables that can reverse a choice. - [ ] Identify likely first bottlenecks and explicit thresholds for deferred scaling mechanisms. - [ ] Separate availability, latency, durability, consistency, security, cost, and operability requirements from implementation preferences. - [ ] Reject speculative scale and list complex mechanisms intentionally deferred. ### 3. Define Domains, Data, and Contracts - [ ] Map business capabilities, domains or modules, ownership, invariants, and allowed dependency direction. - [ ] Define systems of record, data models at architecture depth, lifecycle, retention, consistency, and transaction boundaries. - [ ] Define public APIs, events, commands, schemas, errors, idempotency, ordering, versioning, and compatibility expectations. - [ ] Define trust boundaries, identities, authorization, sensitive data, secrets, abuse controls, and audit needs proportionate to risk. - [ ] Keep framework and vendor details outside the core model unless they are genuine constraints. ### 4. Build HLD and Critical LLD - [ ] Describe system context, deployable units, stores, queues, external systems, responsibilities, and labeled data flows. - [ ] Trace success, overload, dependency failure, partial failure, retry, timeout, degradation, recovery, and cancellation for critical journeys. - [ ] Deep-dive only the two or three components with the highest correctness, scale, security, or reversibility risk. - [ ] Define observability, SLI measurement points, health, deployment strategy, rollback, backup, and operator actions. - [ ] Define ownership, team impact, cost drivers, and operational burden for the proposed topology. ### 5. Decide and Validate - [ ] Compare credible alternatives against requirements, estimates, failure behavior, complexity, cost, migration, and future triggers. - [ ] State selected and rejected options with consequences, sensitivity points, and assumptions that would reopen the decision. - [ ] Identify significant decisions that deserve their own compact decision records without requiring another workflow. - [ ] Define architecture acceptance evidence: contract checks, load or failure experiments, security validation, recovery proof, and observability signals. - [ ] O
Creates a project baseline of architecture drivers and constraints. Use before design or planning; not for target design, plan review, implementation, or architecture audit.
Documents implemented current-state architecture from repository evidence. Use for onboarding or migration baselines; not for target design, audit verdicts, or code changes.
Records one architecture decision with context, alternatives, tradeoffs, and consequences. Use for a significant choice; not for broad design, audit, or implementation.
Creates evidence-backed current or target architecture diagrams when the diagram is the primary deliverable. Not for UI design, architecture audit, or invented structure.
Plans a reversible architecture migration with compatibility, data movement, rollout, and rollback. Use for current-to-target transitions; not execution, generic planning, or delivery review.
Audits documentation and code comments for structure, coverage, factual accuracy, and maintainability. Use for documentation trust reviews; not code, test, or architecture audits.
Audits cross-cutting code health across security, delivery, maintainability, dependencies, diagnosability, concurrency, and lifecycle. Use when no specialist audit is primary.
Audits whether an existing test suite proves important behavior as a sustainable portfolio. Use when test confidence or lifecycle control is uncertain; not to implement tests or review one delivery.