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概要と使いどころ
This skill details how to conduct cloud security audits using Center for Internet Security benchmarks for AWS, Azure, and GCP. It covers interpreting CIS Foundations Benchmark controls, running automated assessments with tools like Prowler and ScoutSuite, remediating failed controls, and maintaining continuous compliance monitoring against CIS v5 for AWS, v4 for Azure, and v4 for GCP.
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。
Builds a structured ransomware incident response playbook aligned with the CISA StopRansomware Guide and NIST Cybersecurity Framework. Covers preparation, detection, containment, eradication, recovery, and post-incident phases with actionable checklists. Activates for requests involving ransomware response planning, CISA compliance, incident response playbook creation, or ransomware preparedness 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。
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
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。
ADR（Architecture Decision Record）作成を支援するテンプレートスキル。 docs/adr/ へのADR作成時に自動適用され、 06_DECISION_MAKING.md の3 Agents Modelに準拠した構造を提案する。 アーキテクチャ決定、技術選定、設計方針の記録時に活用される。
Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. Surfaces taste decisions (close approaches, borderline scope, codex disagreements) at a final approval gate. One command, fully reviewed plan out. Use when asked to "auto review", "autoplan", "run all reviews", "review this plan automatically", or "make the decisions for me". Proactively suggest when the user has a plan file and wants to run the full review gauntlet without answering 15-30 intermediate questions. (gstack) Voice triggers (speech-to-text aliases): "auto plan", "automatic review".
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。
Record durable project decisions with rationale, alternatives, assumptions, status, and revisit triggers. Load when the user says record this decision, we decided, decision log, why did we choose, revisit this later, or capture architectural/process rationale.
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。
Decompose an unknown quantity into 3-5 estimable factors and produce a defensible order-of-magnitude answer without needing precise data. Load when the user needs to size something without data — market size, resource requirements, effort estimates, user numbers, costs — or when a decision is blocked by "we don't know the numbers". Also triggers on "ballpark this", "rough estimate", "how big is this market", "how long would this take", "how many users", or when deep-thinking diagnoses a sizing/estimation frame. The goal is not precision — it is a defensible answer that enables a decision to be made. Based on Enrico Fermi's estimation method.
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。
Capture the "why" behind technical choices to prevent architectural drift. Load when the user makes a major technical decision, chooses a library/framework, defines a system boundary, or changes a core architectural pattern. Also triggers on "record a decision", "write an ADR", "why did we do this", "document this architectural choice", or "architectural decision record". Supports `SYNTHESIS=true` mode for retrospective ADR backfill from observed repo state — used by `retroactive-project-setup` and any future backfill skill. Essential for long-term project maintainability and agent alignment.
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。
Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architect...
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。
Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns. This skill should be used when the user asks about 'architecture decision', 'ADR', 'design pattern selection', 'technology choice', or needs to evaluate architectural trade-offs. Keywords: architecture, ADR, patterns, trade-offs, technical debt, quality attributes, decision record.
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。
Builds a structured ransomware incident response playbook aligned with the CISA StopRansomware Guide and NIST Cybersecurity Framework. Covers preparation, detection, containment, eradication, recovery, and post-incident phases with actionable checklists. Activates for requests involving ransomware response planning, CISA compliance, incident response playbook creation, or ransomware preparedness 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。
This skill details how to conduct cloud security audits using Center for Internet Security benchmarks for AWS, Azure, and GCP. It covers interpreting CIS Foundations Benchmark controls, running automated assessments with tools like Prowler and ScoutSuite, remediating failed controls, and maintaining continuous compliance monitoring against CIS v5 for AWS, v4 for Azure, and v4 for GCP.
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。
自分だけでは判断できない課題を、詳しい相手に渡す質問票へまとめます。相手の役割と知りたい事実を確認し、回答欄付きのMarkdown文書を作るスキル。
一度の対話では収まらない大きな企画や変更を、決めるべき問いと依存関係に整理します。課題管理ツールに判断の記録を残し、実行に移るまでの道筋を明らかにするスキル。
製品の要望や企画書を、開発に着手できる具体的な要件へ整理します。業務ルール、データ、サービス間の接点、未決事項を明文化し、次の担当へ引き継ぎます。
商品の返品受付から検品、返金、再販・廃棄の判断までを支援するスキル。不正の兆候や保証請求、仕入先への費用回収も含め、対応方針を整理します。
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。
電子カルテに組み込む臨床判断支援を設計し、薬の相互作用や用量の検証、臨床スコアの計算、警告の重要度に応じた画面制御とテストを実装するスキル。
正解が一つに定まらない判断を、長期的な影響、前提への疑問、実行の現実性、失敗リスクの四つの視点で検討し、反対意見も見える形で推奨案をまとめるスキル。
会議メモや文字起こしから、根拠付きの決定事項と担当・期限を整理します。既存タスクとの重複を確認し、議事録、チケット、フォローアップ文面の下書きを作成します。
OpenDesign's weekly metrics standup: this week's numbers, the one anomaly, and the single decision it forces. Built as a decision-grade data & finance deck for ops & growth team.
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。
A municipal urban-tree-canopy policy proposal — the public need, the evidence, the options, and the funding decision. Built as a decision-grade policy briefing deck for city council, agency reviewers.
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。
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
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。
Formats and structurally validates local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.
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。