Rename routing-formulation to cuopt-routing-formulation

.claude-plugin/marketplace.json

@@ -51,8 +51,8 @@
       "description": "LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli). Use when the user is solving LP, MILP, or QP from MPS via command line."
     },
     {
-      "name": "routing-formulation",
-      "source": "./skills/routing-formulation",
+      "name": "cuopt-routing-formulation",
+      "source": "./skills/cuopt-routing-formulation",
       "skills": "./",
       "description": "Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface."
     },

AGENTS.md

@@ -13,7 +13,7 @@ AI agent skills for NVIDIA cuOpt optimization engine. Skills live in **`skills/`
 
 ### Common (concepts only; no API code)
 - `skills/numerical-optimization-formulation/` — LP / MILP / QP: concepts + problem parsing + common formulation patterns
-- `skills/routing-formulation/` — Routing: VRP, TSP, PDP (problem types, data)
+- `skills/cuopt-routing-formulation/` — Routing: VRP, TSP, PDP (problem types, data)
 - `skills/cuopt-server-common/` — Server: capabilities, workflow
 
 ### Installation

skills/routing-formulation/SKILL.md → skills/cuopt-routing-formulation/SKILL.md

@@ -1,5 +1,5 @@
 ---
-name: routing-formulation
+name: cuopt-routing-formulation
 version: "26.08.00"
 description: Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface.
 license: Apache-2.0

skills/routing-formulation/evals/evals.json → skills/cuopt-routing-formulation/evals/evals.json

@@ -2,7 +2,7 @@
   {
     "id": "rt-form-eval-001-tsp-vs-vrp-vs-pdp",
     "question": "A courier company has 8 trucks and 50 packages to deliver across a city. Some packages must be picked up from one address and dropped off at another. What problem type is this, and what data do I need to collect?",
-    "expected_skill": "routing-formulation",
+    "expected_skill": "cuopt-routing-formulation",
     "expected_script": null,
     "ground_truth": "The agent identifies the problem as multi-vehicle PDP (Pickup and Delivery Problem) — not VRP (one-way deliveries from a depot) or TSP (single vehicle). It then walks the user through the data categories needed: locations and a cost/distance matrix, pickup-delivery pairs as the order data, fleet (8 trucks with capacity and depot configuration), and time windows. Does not produce code.",
     "expected_behavior": [