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TrackMarshal

Agent-native track design for Carrera 1:24/1:32 slot-car racing — an open piece catalog on WarmHub, a closure-verified layout solver, and skills that let your AI agent design tracks from the pieces you actually own.

The track-planning apps died (Carrera's official planner is discontinued; TrackPower and Ultimate Racer are abandoned). The knowledge shouldn't have. TrackMarshal rebuilds it as open, composable data plus a small amount of exact geometry — so any agent can answer: "What's the best track I can build with my pieces, in my room, for my kind of racing?"

The stack

Layer Where What
Public catalog slotcars/carrera-catalog on WarmHub Every piece type with adjudicated geometry (centerline radii 297/495/693/891 mm — verified against Carrera's own published circuit plans), every retail product with box contents, and per-datum source provenance (SpecClaims — conflicting sources preserved, not averaged)
Your repo one per racer, e.g. wjcorey/carrera-track Inventory (Holdings asserted about catalog pieces — composed, never copied), rooms, saved layouts with bill-of-materials, build logs, feedback, design beliefs
Component slotcars/carrera-track-personal Installs the personal-repo shapes + seed topics in one command (component/)
Solver solver/ SE(2) closure math, inventory-constrained layout generation, exact-geometry SVG rendering, printable HTML build sheets — pure-stdlib Python
Skills .claude/skills/ track-inventory: one conversation turns "here's what I own" into piece-unit Holdings, a Room, and design beliefs. track-designer: agent designs a buildable, closure-verified layout from your real inventory, hands you a build sheet, and writes it back to your repo

Quickstart

# 1. Your personal repo on WarmHub
wh repo create <you>/my-track --public
wh component install slotcars/carrera-track-personal --repo <you>/my-track

# 2. Tell your agent what you own ("I have set 30044 and two banked curve packs")
#    — it expands sets into piece units via the catalog's ProductContent data.

# 3. Ask it to design a track
python3 solver/designer.py --inventory inv.json --room-w 4000 --room-l 3000

Or point an MCP-connected agent at the catalog and this repo's skills — that's the intended interface.

Geometry you can trust

  • Piece dimensions are adjudicated from multiple sources with the evidence preserved: official product pages, community CAD measurements, and a least-squares reconstruction over Carrera's own downloadable circuit plans (which refuted the rounded marketing radii — see solver/README.md).
  • Every set manual is a regression oracle: its layout must close under our geometry or our data is wrong.
  • The solver never marks a layout closureVerified unless the math actually closed (±5 mm / 0.5°).
  • Honestly flagged gaps: banked curves and pit-lane turnouts are catalogued but solverReady: false until their projected geometry is verified.

Status

Live: catalog, personal-repo component (registered: slotcars/carrera-track-personal), track-inventory + track-designer v2 skills with HTML build sheets, worked-example repo with a real inventory. In progress: update pipeline, blog post. Roadmap and open questions: docs/PLAN.md. Design rationale: docs/DESIGN.md and docs/ONTOLOGY-REVIEW.md.

Licensing

TrackMarshal is not affiliated with or endorsed by Carrera Toys GmbH. "Carrera" is used nominatively to identify compatibility; all dimensions are independently compiled facts with per-datum source citations.

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Agent-native track design for Carrera 1:24/1:32 slot-car racing — open piece catalog on WarmHub, closure-verified layout solver, and skills that design tracks from what you actually own

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