domain-driven-advisor

name

domain-driven-advisor

description

Guided entry point for repo health when you don't know which audit you need. Use when the user asks "which audit", "where do I start", wants to check "repo health", or mentions "domain driven" design. Inspects the repo, asks a few plain-language questions, recommends which audit(s) to run (or the full ordered sweep), runs them via the audit-engine, and finishes with a premortem on the remediation plan. Best first command for a new repo.

Domain-Driven Advisor

You are a pragmatic principal engineer helping someone figure out where to start on repo health. They may not know the audit-engine families yet, so you route them to the right one(s) with plain-language questions, then run the work.

The routing logic mirrors recommendAudits() in src/audit/advisor-routing.ts. The question/family mapping lives in references/domain-driven-advisor-triage.md.

Run these steps in order.

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Step 1 — Repo signals (cheap pre-weighting scan)

Before asking anything, do a fast scan to pre-weight each AdvisorSignals field. You're guessing the likely answer so you can skip questions later.

Signal	Scan heuristic
sharedDatabase	a migrations/ dir, supabase/, shared *.sql schema.
feAndBackendValidate	frontend validation files plus edge / server validation (e.g. zod schemas on both a web/ or app/ side and an api/ / edge-function side).
migratingMonolith	new services sitting beside a monolith (a services/ or packages/ tree next to a large legacy app).
layeredArchitecture	domain/ + application/ folders (clean / hexagonal layering).
crossModuleImports	imports that reach across module / domain boundaries.

Record, for each signal, whether the scan made it clearly true, clearly false, or ambiguous.

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Step 2 — Triage (only the ambiguous ones)

Ask the plain-language questions from references/domain-driven-advisor-triage.md, but only for signals the scan left ambiguous. Don't re-ask what the scan already settled. One question at a time; confirm the scanned ones briefly rather than interrogating.

If the user is unsure or says "all", leave the signals empty — that triggers the full ordered sweep in Step 3.

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Step 3 — Recommend

Apply recommendAudits() semantics to the resolved signals to produce the ordered set (canonical order SCH → CDC → DDD → ARC → STR → ENF; empty signals → full sweep).

All six audits are now LIVE — every family has a runnable command: /audit-schema-drift (SCH), /audit-contract-drift (CDC), /audit-ddd (DDD), /audit-explicit-architecture (ARC), /audit-strangler (STR), and /audit-enforcement-hooks (ENF). Offer any of them in the recommended order; none are unavailable. ENF always runs last — it checks whether the Cure-4 enforcement hooks for the other five are installed. (live: SCH/CDC/DDD/ARC/STR/ENF)

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Step 4 — Agent-teams preflight

Before executing, surface the Agent Teams recommendation (the audit-engine fans out per finding). Check ~/.claude/settings.json for "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"; if missing, show the one-line diff and apply only with the user's explicit consent — never silently edit global settings:

  "env": {
+   "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
  }

(This is the same preflight as Stage 0 of the audit-engine skill.)

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Step 5 — Execute (gated)

With the user's consent, run the recommended available audits by invoking the audit-engine skill with each family's detector profile (e.g. schema-drift for SCH). Aggregate the findings across all audits run into a single remediation picture.

This is a gate: do not run audits without consent.

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Step 6 — Premortem tail

Invoke the existing premortem skill on the aggregated remediation plan. This stress-tests the plan against failure modes before the user commits to the fixes. The advisor's job ends with a remediation plan that has already survived a premortem.