806 件 ・ 関連度順
概要と使いどころ
Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.
日本語の概要は準備中です。原文の説明を表示しています。
Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental impact requirements, and provide actionable recommendations to build, deploy, and manage the workload sustainably in Google Cloud.
日本語の概要は準備中です。原文の説明を表示しています。
Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.
日本語の概要は準備中です。原文の説明を表示しています。
Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental impact requirements, and provide actionable recommendations to build, deploy, and manage the workload sustainably in Google Cloud.
日本語の概要は準備中です。原文の説明を表示しています。
Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.
日本語の概要は準備中です。原文の説明を表示しています。
Generates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, and provide actionable recommendations for build, deploy, and manage the workload reliably in Google Cloud.
日本語の概要は準備中です。原文の説明を表示しています。
Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.
日本語の概要は準備中です。原文の説明を表示しています。
Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.
日本語の概要は準備中です。原文の説明を表示しています。
Use for deep Vue 3 best-practices review, recommendations, and the full ordered authoring workflow — built-in components (Teleport, Suspense, KeepAlive, Transition, TransitionGroup), animation techniques, slots, fallthrough attrs, custom directives, async components, render functions, plugins, and the post-functionality performance pass. Complements mk:vue (the everyday Composition API quick-reference). Invoke for "review my Vue", "Vue best practices", "recommend improvements", or non-trivial feature work needing the ordered workflow.
日本語の概要は準備中です。原文の説明を表示しています。
Emit a blocking question the owner can read in ~10 seconds and answer in one reply — the scannable, recommendation-first handoff every agent posts when it hits a fork it can't own. Leads with the one decision + a recommendation, carries the 🤖 provenance header, doubles as the
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when analyzing bug ticket data to identify quality trends, assess software quality status, and provide improvement recommendations. Use when a user provides bug lists (CSV, Excel, JSON, or Markdown format) and needs comprehensive quality analysis from a QA manager perspective. Generates statistical analysis, identifies quality hotspots, provides actionable recommendations, and produces professional Markdown reports suitable for project managers and executive leadership. Ideal for IT system development, migration, and implementation projects.
日本語の概要は準備中です。原文の説明を表示しています。
Affiliate and sponsored content generator — create natural product review, comparison, and recommendation articles that comply with ステマ規制. Integrates compliance-checker for automatic legal safety. Supports review, comparison, and experience-based formats.
マージ前に必ず実行。静的チェック・テスト・体制レビュー（変更内容で決まる統合レビュアー＋反証型QA＋専門家最大1体、基本1サイクル）と追加テスト（test-recommendation）を実施し、通過後のみmainへのマージ・直接pushが可能。
Use when writing recommendation letters, reference letters, or award nominations for students, postdocs, or colleagues. Invoke when user mentions recommendation letter, reference, nomination, letter of support, endorsement, or needs help with strong advocacy, comparative statements, or evidence-based character assessment.
日本語の概要は準備中です。原文の説明を表示しています。
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
日本語の概要は準備中です。原文の説明を表示しています。
AI-powered skill recommendation engine for dotnet-harness. Analyzes project context and recommends relevant skills based on detected frameworks, packages, and patterns. Triggers on: recommend skill, suggest skills, what skill should I use, skill suggestion, project analysis recommendation.
日本語の概要は準備中です。原文の説明を表示しています。
AI-powered skill recommendation engine for dotnet-agent-harness. Analyzes project context and recommends relevant skills based on detected frameworks, packages, and patterns. Triggers on: recommend skill, suggest skills, what skill should I use, skill suggestion, project analysis recommendation.
日本語の概要は準備中です。原文の説明を表示しています。
Claudeのスキルやコマンドを棚卸しし、内容の重複、実用性、技術情報の古さを点検します。変更分だけの確認と全件レビューに対応し、改善や統合の判断材料をまとめます。
GitHubの課題やプルリクエストを仕分けし、実行予定の作業をLinearにつなげて、公開状況と社内の担当・優先度・次の対応を整理するスキル。
開発前に製品の狙いを検証し、企画の実行判断、利用開始時のつまずき、機能の優先順位を整理します。根拠と次の行動を含む企画書やロードマップにまとめます。
機械学習のない既存アプリに、推薦・分類・予測などを追加するための手順を整理します。課題とデータの確認から、最初のモデルの学習・評価・組み込みまでを支援します。
画面の余白、文字、角丸、影、動きを見直し、見た目と操作感を整えるスキル。ボタンやカードなどの細部を点検し、変更前後が分かる具体的な改善案を示します。
市場規模の推計、競合比較、投資家や技術の調査を、出典付きでまとめるスキル。事実と推測を分け、反証やリスクも含めて事業判断につながる提案を整理します。
Claude Codeが読み込むエージェント、スキル、ルール、MCP設定の情報量を点検するスキル。重複や長すぎる定義を見つけ、削減案を優先順位付きで示します。