cuopt-numerical-optimization-api
LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.
Update the third_party/kineto submodule in PyTorch to the latest commit from this kineto repo and commit the change. Use when updating the kineto submodule hash for a release.
This skill should be used when the user asks to "dev-init", "技術スタックを選定", "新規プロジェクト初期化", "initialize tech stack", "プロジェクトをセットアップ", "setup project", "scaffold project", "プロジェクト作成", "tech stackを決める". インタラクティブなヒアリングでプロジェクトの技術スタックを決定し、dev-context互換のコンテキストファイルを生成する。承認制でプロジェクトスキャフォールディングも実行可能。
Creates a new Spring Boot project by downloading it from start.spring.io using curl, then extracting it into the target directory. Use this when a user asks to create, generate, initialize, or scaffold a new Spring Boot project.
This skill should be used when the user asks to "dev-context", "プロジェクトコンテキストを生成", "プロジェクトを分析", "generate project context", "analyze project", "コンテキストを更新". プロジェクトの技術スタック・テストフレームワーク・コーディング規約・アーキテクチャを自動分析し、コンパクトなコンテキストファイルを生成する。
Use when writing commit messages, creating PR titles, pushing commits, or creating PRs — ensures conventional commit format and that formatting/linting pass before any push
Use for demonstrates always-loaded policy, on-demand procedure imports, section narrowing, and nested import requirements. Preserves evidence with SkillSpec routes, forbids, dependencies, traces, and token-savings reports