Fix a bug in dual variables and reduced costs when we add implied bounds on free variables

.claude-plugin/marketplace.json

@@ -4,69 +4,51 @@
     "name": "NVIDIA"
   },
   "metadata": {
-    "description": "Agent skills for NVIDIA cuOpt: routing (VRP, TSP, PDP), LP/MILP/QP, installation (Python/C/developer), and REST server.",
+    "description": "Agent skills for NVIDIA cuOpt: routing (VRP, TSP, PDP), LP/MILP/QP, installation (user/developer), and REST server.",
     "version": "26.06.00"
   },
   "plugins": [
     {
       "name": "cuopt-user-rules",
       "source": "./skills/cuopt-user-rules",
       "skills": "./",
-      "description": "Base behavior rules for using NVIDIA cuOpt. Read first when helping users with cuOpt (routing, LP/MILP, QP, installation, server)."
+      "description": "Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those."
     },
     {
       "name": "cuopt-developer",
       "source": "./skills/cuopt-developer",
       "skills": "./",
-      "description": "Contribute to NVIDIA cuOpt codebase including C++/CUDA, Python, server, docs, and CI. Use when the user wants to modify solver internals, add features, submit PRs, or understand the codebase architecture."
+      "description": "Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions."
     },
     {
-      "name": "cuopt-installation-common",
-      "source": "./skills/cuopt-installation-common",
+      "name": "cuopt-install",
+      "source": "./skills/cuopt-install",
       "skills": "./",
-      "description": "Install cuOpt — system and environment requirements only. Domain concepts; no install commands or interface guidance."
+      "description": "Install cuOpt for Python, C, or as a server (pip, conda, Docker) — system requirements, install commands, and verification. Use when the user wants to install or verify cuOpt for any user-facing interface."
     },
     {
-      "name": "cuopt-installation-api-python",
-      "source": "./skills/cuopt-installation-api-python",
+      "name": "numerical-optimization-formulation",
+      "source": "./skills/numerical-optimization-formulation",
       "skills": "./",
-      "description": "Install cuOpt for Python — pip, conda, Docker, verification. Use when the user is installing or verifying the Python API."
+      "description": "Numerical optimization (LP, MILP, QP) — concepts, problem-text parsing, and formulation patterns. What LP, MILP, and QP are, required formulation questions, modeling elements, common patterns, and how to parse problem statements (parameters, constraints, decisions, objective). Domain concepts; no API or interface."
     },
     {
-      "name": "cuopt-installation-api-c",
-      "source": "./skills/cuopt-installation-api-c",
+      "name": "cuopt-numerical-optimization-api-python",
+      "source": "./skills/cuopt-numerical-optimization-api-python",
       "skills": "./",
-      "description": "Install cuOpt for C — conda, locate lib/headers, verification. Use when the user is installing or verifying the C API."
+      "description": "Solve LP, MILP, and QP (beta) with the Python API. Use when the user asks about optimization with linear or quadratic objectives, linear constraints, integer variables, scheduling, resource allocation, facility location, production planning, portfolio optimization, or least squares."
     },
     {
-      "name": "cuopt-installation-developer",
-      "source": "./skills/cuopt-installation-developer",
+      "name": "cuopt-numerical-optimization-api-c",
+      "source": "./skills/cuopt-numerical-optimization-api-c",
       "skills": "./",
-      "description": "Developer installation — build cuOpt from source, run tests. Use when the user wants to set up a dev environment to contribute or modify cuOpt."
+      "description": "LP, MILP, and QP (beta) with cuOpt — C API only. Use when the user is embedding LP, MILP, or QP in C/C++."
     },
     {
-      "name": "lp-milp-formulation",
-      "source": "./skills/lp-milp-formulation",
+      "name": "cuopt-numerical-optimization-api-cli",
+      "source": "./skills/cuopt-numerical-optimization-api-cli",
       "skills": "./",
-      "description": "LP/MILP concepts and going from problem text to formulation. What LP/MILP are, required formulation questions, typical modeling elements, and how to parse problem statements."
-    },
-    {
-      "name": "cuopt-lp-milp-api-python",
-      "source": "./skills/cuopt-lp-milp-api-python",
-      "skills": "./",
-      "description": "Solve LP and MILP with the Python API. Use when the user asks about optimization with linear constraints, integer variables, scheduling, resource allocation, facility location, or production planning."
-    },
-    {
-      "name": "cuopt-lp-milp-api-c",
-      "source": "./skills/cuopt-lp-milp-api-c",
-      "skills": "./",
-      "description": "LP and MILP with cuOpt — C API only. Use when the user is embedding LP/MILP in C/C++."
-    },
-    {
-      "name": "cuopt-lp-milp-api-cli",
-      "source": "./skills/cuopt-lp-milp-api-cli",
-      "skills": "./",
-      "description": "LP and MILP with cuOpt — CLI only (MPS files, cuopt_cli). Use when the user is solving from MPS via command line."
+      "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",
@@ -80,30 +62,6 @@
       "skills": "./",
       "description": "Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python."
     },
-    {
-      "name": "qp-formulation",
-      "source": "./skills/qp-formulation",
-      "skills": "./",
-      "description": "Quadratic Programming (QP) — problem form and constraints. Domain concepts; no API or interface. QP is beta."
-    },
-    {
-      "name": "cuopt-qp-api-python",
-      "source": "./skills/cuopt-qp-api-python",
-      "skills": "./",
-      "description": "Quadratic Programming (QP) with cuOpt — Python API only (beta). Use when the user is building or solving QP in Python."
-    },
-    {
-      "name": "cuopt-qp-api-c",
-      "source": "./skills/cuopt-qp-api-c",
-      "skills": "./",
-      "description": "Quadratic Programming (QP) with cuOpt — C API. Use when the user is embedding QP in C/C++."
-    },
-    {
-      "name": "cuopt-qp-api-cli",
-      "source": "./skills/cuopt-qp-api-cli",
-      "skills": "./",
-      "description": "QP with cuOpt — CLI (e.g. cuopt_cli with QP-capable input). Use when the user is solving QP from the command line."
-    },
     {
       "name": "cuopt-server-common",
       "source": "./skills/cuopt-server-common",