takusaotome

Comprehensive data science workflow skill for analyzing tabular and time series data. Use when conducting exploratory data analysis, building predictive models, performing feature engineering, or generating data-driven insights. Supports end-to-end analysis from data understanding through model deployment, following industry best practices for regression, classification, time series forecasting, and statistical analysis.

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Professional data visualization skill specialized in creating reader-friendly, accessible, and aesthetically pleasing charts and dashboards. Use this skill when you need to create visualizations, choose appropriate chart types, design color schemes, create dashboards, or apply design best practices for data communication. Expertise includes visualization principles, color theory, typography, layout design, and accessibility guidelines.

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Use this skill for critical code review that focuses on whether the code actually works correctly and achieves the expected results - not just whether it matches a design document. This skill assumes designs can be wrong, finds bugs the design didn't anticipate, and verifies end-to-end correctness. Triggers include "critical code review", "deep code review", "verify this implementation works", "find bugs in this code", or reviewing implementation against requirements. NOTE - Security review is OUT OF SCOPE; use a dedicated security review skill for that purpose.

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docling CLIを使用したドキュメント変換スキル。PDF、DOCX、PPTX、HTML、画像、Excel等のあらゆるドキュメントをMarkdown、JSON、YAML、HTML、テキストに変換。OCR対応で画像内テキストも抽出可能。Use when converting documents to Markdown or other formats, extracting text from PDFs, processing scanned documents with OCR, or converting office documents. Argument hint: [file_path] [--to md|json|yaml|html|text] [--ocr-lang ja] [--output output_dir]

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Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM deep review findings. Use when you need reproducible quality scoring for `skills/*/SKILL.md`, want to gate merges with a score threshold (for example 90+), or need concrete improvement items for low-scoring skills. Works across projects via --project-root.

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DuckDBを使用した大規模データ分析の専門スキル。DuckDBのアーキテクチャ、SQL構文、パフォーマンス最適化、各種ファイル形式（CSV、Parquet、JSON等）の効率的な読み込み・書き出しを熟知。メモリ効率の良い分析、複雑なクエリの最適化、データパイプライン構築を支援。Use when analyzing large datasets, querying CSV/Parquet/JSON files directly, building data pipelines, or optimizing analytical queries with DuckDB.

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Explain a topic like I'm a 5 year old, as a single HTML artifact built from big pictures and very few words. Use this whenever the user asks for a dead-simple explanation of how something works, says "ELI5", "explain like I'm five", "簡単に説明して", "図で説明して", "初心者向けに", "素人にもわかるように", wants to explain a concept to a non-technical manager, customer, or family member, or asks for a visual explainer — even if they don't say "ELI5" explicitly.

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Analyze email threads to extract current status, pending actions, timeline of events, and identify stale/outdated information. Use when asked to summarize email conversations, find outstanding action items in email chains, or detect when a thread summary is out of date.

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ESG(環境・社会・ガバナンス)レポート作成支援スキル。GRI、SASB、TCFD、CDP等の国際基準に準拠した サステナビリティレポート作成、マテリアリティ分析、KPI設定、データ収集・開示をサポート。 Use when creating sustainability reports, conducting materiality assessments, setting ESG targets, or preparing disclosures aligned with GRI, SASB, TCFD, CDP, or CSRD standards. Triggers: "ESG report", "sustainability report", "TCFD", "GRI", "SASB", "CDP", "materiality assessment", "carbon footprint".

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Use this skill when creating executive-level briefing materials, board reports, management meeting presentations, or investor briefings. This skill provides the "So What? / Why Now? / What Next?" framework, data visualization guidelines optimized for executives, and professional templates for rapid document creation. Triggers include "create board report", "executive summary", "management meeting materials", "investor presentation", "one-page summary", or requests to communicate complex information to senior leadership.

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Fableクラスの思考プロセスを任意のモデルで再現する思考スキャフォールド。問いの再構築、 前提の検証、選択肢空間の展開、反証、確信度つきの収束という順序をフェーズとゲートで強制する。 設計判断・技術選定・調査・分析・提案など、結論を間違えるコストが高い非自明なタスクで使用。 「深く考えて」「幅広い視野で」「多角的に検討して」「Fableのように考えて」がトリガー。 Use when asked to think deeply, consider all angles, or for high-stakes decisions and analyses.

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Professional financial analysis skill for investment decisions, budgeting, financial statement analysis, and business plan evaluation. Use this skill when you need to analyze financial ratios (profitability, safety, efficiency), calculate DCF/NPV/IRR valuations, perform budget variance analysis, or conduct sensitivity/scenario analysis. Triggers include "analyze financial statements", "calculate DCF", "investment evaluation", "budget variance", "財務分析", "投資評価", "予算差異分析".

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Relentless one-question-at-a-time interview (tappable options with a recommended answer) that sharpens a requirement, business plan, project plan, proposal, or raw idea through conversation, then writes it up as a brief with a glossary and decision log. Use whenever the user wants their thinking stress-tested or pinned down before acting — trigger phrases include "grill me", "grill this", "詰めて", "詰めたい", "壁打ち", "要件を固めたい", "企画を練りたい", "計画を整理したい", "アイデアをぶつけたい", "突っ込んで", "clarify", "質問して", "何が決まってないか教えて", or when the user describes a plan/idea vaguely and asks what to do next. Do NOT use for reviewing a finished document (use a document-review skill) or when the user just wants an answer, not questions.

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Transform client hearing sheets and meeting notes into structured requirements documents. Use when converting raw hearing data (Japanese/English) into formal requirements, generating traceability matrices, identifying gaps/ambiguities, and mapping requirements to WBS items. Triggers include "hearing to requirements", "meeting notes to specs", "requirements traceability", "gap analysis for requirements", or requests involving hearing sheet analysis.

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Generic helpdesk first-response skill for creating KB-based response drafts. Use when handling support tickets, creating response templates, or building a structured helpdesk workflow. Supports error code detection, keyword matching, confidence scoring, multi-language templates, and escalation workflows. Customize by providing your own KB articles and configuration.

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既存コード・既存関数・既存モジュールの暗黙契約を抽出するスキル。 戻り値型、副作用、例外、前提条件、境界条件、環境依存挙動を確認し、 reuse前のリスクを可視化する。名前やコメントではなく実際の挙動から 契約を読み取り、不一致を分類し、再利用可否を判定する。 Use when reusing legacy code, verifying actual behavior of existing functions, or extracting implicit contracts before implementation. Covers: hidden contract, implicit contract, reuse risk, legacy behavior, 暗黙契約, 既存資産調査. Analyzes return types, side effects, exceptions, preconditions, boundary conditions, and environment-dependent behavior.

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ImageMagick CLIを使用した画像処理の専門家スキル。フォーマット変換、リサイズ、トリミング、回転、フィルタ適用、アニメーションGIF作成、PDF処理、バッチ処理を支援。Use when processing images via CLI, converting formats, resizing, cropping, applying filters, creating animations, or batch processing images.

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Periodic inbox scan that categorizes new emails by project/client, identifies action-required items, and generates prioritized summary with FYI/requires-response/requires-action/blocked-waiting classifications. Use for inbox overview, project-based email grouping, or action item extraction.

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インシデント発生後の振り返りと根本原因分析を体系的に実施するスキル。 ログファイル解析や技術デバッグが必要な場合は log-debugger を使用すること。 本スキルはインシデント管理プロセス（タイムライン構築、影響評価、 是正措置計画、再発防止策）に特化する。ログデータの分析ではなく、 組織的な振り返りプロセスと是正措置の策定が主目的である。 Use when conducting post-incident reviews without log analysis, creating corrective action plans, or performing organizational root cause analysis focused on process improvement. NOT for log file debugging. Triggers: "post-incident review", "corrective action plan", "incident report作成", "再発防止策", "RCAレポート", "是正措置", "インシデント振り返り"

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Compose professional internal emails for coordination tasks like vendor quote requests, task delegation, and follow-up communications. Generates bilingual (JA/EN) email drafts with proper business tone. Use when user needs to draft internal emails for vendor RFQ forwarding, quote compilation requests, status updates, or task delegation.

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ISO規格（ISO 9001品質、ISO 27001情報セキュリティ、ISO 22301事業継続等）の認証取得支援スキル。 ギャップ分析、文書化支援、内部監査、認証準備を提供。 Use when pursuing ISO certification, conducting gap analysis, or implementing ISO-compliant management systems. Triggers: "ISO 9001", "ISO 27001", "ISO 22301", "ISO certification", "quality management", "ISMS", "gap analysis".

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AI（LLM）が生成した日本語テキストの「AI臭」を検出・診断し、人間らしい文章にリライトするスキル。 Use when: 「AIっぽい文章を直して」「人間らしくリライトして」「AI臭を消して」「この文章をもっと自然にして」 「テキストのAI感を減らして」「機械っぽさを取りたい」 "make this sound more human", "remove AI tone", "humanize this text", "detect if this is AI-generated". 6つのAI特有パターン（視覚的マーカー、単調なリズム、マニュアル的構成、非コミット姿勢、抽象語の濫用、 定型メタファー）を正規表現ベースで検出し、0-100のAI臭スコアを算出。3つの人間化技法 （バランスを崩す・客観を崩す・論理を崩す）でリライトを実行する。 Note: 検出スクリプトは日本語テキスト専用。英語テキストの場合はClaude自身がreferences/を参照して分析・リライトする。

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Generate AI-powered BPO service proposals for Japanese companies in the US market. Use when creating outsourcing proposals with AI service menus, ROI estimation, implementation roadmaps, and bilingual (JA/EN) proposal documents for 在米日系企業向けAI実装.

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DAMA-DMBOK（Data Management Body of Knowledge）準拠のデータマネジメントスキル。 11の知識領域（データガバナンス、データ品質、メタデータ管理、MDM等）を網羅し、 データ戦略策定から具体的な改善施策まで支援する。 Use when: データ戦略策定、データガバナンス構築、データ品質改善、データカタログ作成、 MDM導入、DX推進、データ移行プロジェクト、データ成熟度評価。 Triggers: "データガバナンス", "データ品質", "データカタログ", "メタデータ管理", "MDM", "データ戦略", "DMBOK", "データ成熟度", "データリネージ"

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