Morgan Lunt bec8d7c93a
code-modernization: vendor d3, viewer robustness, status command, pipeline fixes
Viewer (assets/topology-viewer.html):
- inline a minified d3 subset (hierarchy/pack, zoom, selection,
  interpolateZoom, ease; ISC license) instead of loading from a CDN —
  the page is now fully self-contained and works on air-gapped networks
- handle duplicate node ids (unique-suffix; edges bind to the first
  occurrence) and store parent references directly, fixing
  level-of-detail and selection corruption with messy generated data
- share one reveal rule between drawing, edge culling, and hit-testing
  so edges no longer draw into collapsed containers
- pre-bucket edges by kind and keep a per-node adjacency map; the
  hover/selection pass no longer scans every edge each frame
- cancel in-flight fly-to animations when a new one starts; clamp
  fly-to zoom to the zoom extent; derive max zoom from the smallest
  leaf so deep estates stay reachable
- render dead-end candidates (new deadEnds field) with a dashed
  outline and a sidebar badge
- clicking a node during a flow walkthrough exits the walkthrough;
  search results clear on selection and Escape; surrogate-safe label
  truncation; clearer stats line; explicit empty-topology message

Commands:
- new /modernize-status: read-only progress report — artifact inventory
  with timestamps, staleness flags, secrets-hygiene checks, next step
- map: deadEnds in the topology schema; datastore names must be logical
  identifiers with credentials stripped from URLs/DSNs
- brief: read topology.json + .mmd files (not the interactive HTML);
  staleness check against inputs; effort unit aligned to person-months
- transform: secret-safe characterization-test prompt; diff -y fallback
  when delta is missing; credential-safe diff selection
- reimagine: target vision is everything after the first argument (was
  silently truncated to one word); masking rules in spec/scaffold/
  handoff prompts
- brief/transform/reimagine: human-approval gates phrased as explicit
  stop-and-wait instead of 'enter plan mode'
- preflight: delta in the tool table; brief added to the verdict list
- README: preflight/status in the workflow; legacy/ deny list also
  covers Write; plugin + marketplace descriptions updated
2026-06-09 08:48:04 -07:00

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---
description: Multi-agent greenfield rebuild — extract specs from legacy, design AI-native, scaffold & validate with HITL
argument-hint: <system-dir> <target-vision>
---
The first token of `$ARGUMENTS` is the system dir (`$1`); **everything
after it is the target vision** — it is usually multiple words, so do not
truncate it to one token. Below, `<vision>` means that full remainder.
**Reimagine** `legacy/$1` as: <vision>
This is not a port — it's a rebuild from extracted intent. The legacy system
becomes the *specification source*, not the structural template. This command
orchestrates a multi-agent team with explicit human checkpoints.
## Phase A — Specification mining (parallel agents)
Spawn concurrently and show the user that all three are running:
1. **business-rules-extractor** — "Extract every business rule from legacy/$1
into Given/When/Then form. Output to a structured list I can parse."
2. **legacy-analyst** — "Catalog every external interface of legacy/$1:
inbound (screens, APIs, batch triggers, queues) and outbound (reports,
files, downstream calls, DB writes). For each: name, direction, payload
shape, frequency/SLA if discernible. Mask any credential embedded in
endpoints or payload examples per your secret-handling rules."
3. **legacy-analyst** — "Identify the core domain entities in legacy/$1 and
their relationships. Return as an entity list + Mermaid erDiagram."
Collect results. Write `analysis/$1/AI_NATIVE_SPEC.md` containing:
- **Capabilities** (what the system must do — derived from rules + interfaces)
- **Domain Model** (entities + erDiagram)
- **Interface Contracts** (each external interface as an OpenAPI fragment or
AsyncAPI fragment)
- **Non-functional requirements** inferred from legacy (batch windows, volumes)
- **Behavior Contract** (the Given/When/Then rules — these are the acceptance tests)
Credential values are masked everywhere in the spec; connection details
appear as env-var placeholders (`${DATABASE_URL}`), never literals.
## Phase B — HITL checkpoint #1
Present the spec summary. Ask the user **one focused question**: "Which of
these capabilities are P0 for the reimagined system, and are there any we
should deliberately drop?" Wait for the answer. Record it in the spec.
## Phase C — Architecture (single agent, then critique)
Design the target architecture for "<vision>":
- Mermaid C4 Container diagram
- Service boundaries with rationale (which rules/entities live where)
- Technology choices with one-line justification each
- Data migration approach from legacy stores
Then spawn **architecture-critic**: "Review this proposed architecture for
<vision> against the spec in analysis/$1/AI_NATIVE_SPEC.md. Identify over-engineering,
missed requirements, scaling risks, and simpler alternatives." Incorporate
the critique. Write the result to `analysis/$1/REIMAGINED_ARCHITECTURE.md`.
## Phase D — HITL checkpoint #2
Present the architecture and **stop — scaffold nothing until the user
explicitly approves** (use plan mode if the session supports it).
## Phase E — Parallel scaffolding
For each service in the approved architecture (cap at 3 to keep the run
tractable; tell the user which you deferred), spawn a **general-purpose agent
in parallel**:
"Scaffold the <service-name> service per analysis/$1/REIMAGINED_ARCHITECTURE.md
and AI_NATIVE_SPEC.md. Create: project skeleton, domain model, API stubs
matching the interface contracts, and **executable acceptance tests** for every
behavior-contract rule assigned to this service (mark unimplemented ones as
expected-failure/skip with the rule ID). No credential literal from legacy
code becomes a test fixture or config default — use fake same-shape values
and env-var placeholders. Write to modernized/$1-reimagined/<service-name>/."
Show the agents' progress. When all complete, run the acceptance test suites
and report: total tests, passing (scaffolded behavior), pending (rule IDs
awaiting implementation).
## Phase F — Knowledge graph handoff
Write `modernized/$1-reimagined/CLAUDE.md` — the persistent context file for
the new system, containing: architecture summary, service responsibilities,
where the spec lives, how to run tests, and the legacy→modern traceability
map. This file IS the knowledge graph that future agents and engineers will
load — and it gets committed: connection details and credentials appear
only as env-var names with a pointer to where they're provisioned, never
as values.
Report: services scaffolded, acceptance tests defined, % behaviors with a
home, location of all artifacts.