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概要と使いどころ
設計文書、分析レポート、報告書などを批判的な視点で徹底レビューするスキル。 6つの異なる立場（開発者、PM、顧客、QA、セキュリティ、運用）のペルソナを持つサブエージェントが並列でレビューを実行し、 「本当にそうか？」「根拠は何か？」「テストできるか？」「運用できるか？」という視点で 曖昧さ、根拠不足、論理飛躍、テスト不能、セキュリティリスク、運用懸念を検出する。 Use when reviewing design documents, analysis reports, incident reports, or any document requiring rigorous validation of claims and evidence.
Answers an employee's or manager's HR policy question strictly from the policy documents the user supplies or the agent can reach as knowledge: a DRAFT answer that quotes the governing clause with its document, version and clause reference, lists the conditions and exceptions the text states, returns UNKNOWN where the documents are silent and names the role to ask. Never invents a rule, fills a gap from general practice or decides an individual's case. Use when the user asks to check a policy, for example "what does the policy say about", "am I entitled to", "how many days of leave do I get", "what is the process for requesting", "does the handbook allow" or "which clause covers". Do not use for comparing two policy versions or briefing a change, use policy-change-briefing instead. Drafts for human review; never approves, authorises or signs off.
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。
Prepares a DRAFT management-of-change intake record from a change description (email, meeting note, marked-up drawing or request form): what changes from what to what and where, the identifiers named, the candidate affected documents matched against the register, the disciplines to consult with the reason for each, and the numbered questions reviewers must answer, with UNKNOWN wherever the description is silent. Prepares the record only: never approves, classifies the change, decides replacement in kind or makes any hazard or safety judgement. Use when the user asks to "raise an MoC for this", "prepare the change request intake", "which documents does this change touch", "who needs to review this change" or "draft the MoC form from this email". Do not use for tracking who owes information to whom across disciplines, use interface-register-builder instead. Drafts for human review; never approves, authorises or signs off.
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。
Read and understand PDF documents with the pdf_* tools - inspect a document before reading it, extract text in reading order or as reconstructed layout, search a document without reading all of it, recognize scanned pages that have no text layer, and render pages as pictures. Covers scanned documents, chat attachments, page-range and character caps, and the read-only and untrusted-content rules.
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。
永続化ドキュメント（Steering Documents）を初期生成します。プロダクトのコードを自動解析し、ユーザーへのヒアリングを組み合わせて6種のドキュメントを生成します。併せて generate-working-docs のテンプレートをプロダクト用にカスタマイズします。「永続化ドキュメントを作成して」「steering docs を作って」などで呼び出されます。
Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building ag...
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。
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search.
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。
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
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 this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Covers polished document output, tracked changes, comments, image updates, XML-level repairs, and safe conversion workflows.
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, modify, and manage Word documents.
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。
Generate Japanese Word documents (.docx) using python-docx with proper Japanese fonts, vertical writing (縦書き), ruby text (ふりがな), and business templates. Triggers on requests to create Word文書, 見積書docx, 請求書docx, 日本語Word, 縦書き文書, ビジネス文書Word.
Use the `rimo` CLI to interact with the Rimo platform — list/read/search meeting notes, transcripts, and documents, ask AI questions across them, and create notes or append markdown sections to them. Trigger when the user mentions Rimo, asks about meeting notes/minutes/transcripts/documents stored in Rimo, or invokes `rimo` directly.
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 the user asks to "analyze a koseki", "戸籍の分析", "家族関係", "相関図", "family tree", "戸籍謄本", "親族関係", "家系図", "戸籍を読んで", "相続関係図", "法定相続情報", "戸籍から相関図を作って", or wants to extract family relationships from documents.
This skill should be used when the user asks to "fill a template", "テンプレート入力", "書式入力", "裁判所書類の作成", "テンプレートに入力", "書式に記入", "この書式に入れて", "PDFからテンプレートに", "書類を作成して", "これも追加して", "このデータも入れて", or wants to auto-populate or incrementally add data to court documents.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
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。
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
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。
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search.
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 to run or continue domain exploration with the product owner as domain expert — event storming interviews, hotspots (HS), ubiquitous language, UX review of the domain, checking or resolving open MQ/UX items, or a status summary of documents/ddd. Also use when the user starts explaining their business, purpose or workflow. Never edit documents/ddd directly; go through this skill.
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。
Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA deobfuscation to extract the attack chain. Activates for requests involving Office macro analysis, VBA malware investigation, maldoc analysis, or document-based threat examination.
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。
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
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。
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
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。
Prepare for a Japanese job interview by working from the documents already submitted: find where an interviewer will dig in (claims the applicant cannot back up, work described in the first person plural, outcomes with no measure, gaps or overlaps in the employment history, must-have requirements the documents never answer), and turn them into questions to prepare evidence for. Use when a user has an interview scheduled and wants to know what will be asked and what to have ready, or wants to prepare reverse questions from earlier company research; do not use to predict whether they will pass, to write answers containing experience they did not report, or to schedule or contact anyone.
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。
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search.
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。
Multi-document tabs with AdwTabView/TabBar/TabOverview — tab menus, pinning, keyboard shortcuts. Use when an app opens multiple documents or sessions in tabs.
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。