ドキュメント・Officeのスキル

Edit, query, and transform Word documents with the SuperDoc CLI v1 operation surface. Use when the user asks to read, search, modify, comment, or review changes in .docx files.

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。

Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations. Use when the user wants to: (1) Extract specific information from multiple documents into a table, (2) Compare clauses or provisions across contracts, (3) Create a document review matrix with source citations. Triggers on: 'tabular review', 'document matrix', 'extract from documents', 'compare across documents', 'review multiple contracts'.

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。

GDPR Transfer Impact Assessment for Chapter V transfers under the EDPB Recommendations 01/2020 six-step methodology, the CNIL TIA Guide (January 2025), and EDPB essential guarantees. Handles transfer qualification, Art. 45 adequacy fast-tracks, Art. 46 full assessments with country profiles for 12 jurisdictions, and balanced Art. 49 derogation analysis. Outputs a Markdown report, a .docx formal TIA, and a JSON delta for RoPA interchange.

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。

Find and quote statutory and regulatory law with the LibreJustice MCP tools — French codes at any date, EU law, treaties and bilateral accords, foreign codes (59 countries), collective agreements, BOFiP, circulaires. Use whenever the user asks what a text says or said at a given date, which version or which text applies to a situation, needs the exact wording of a provision for a brief, or works with foreign or international law in French litigation, even if they never mention LibreJustice.

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。

Scope management for legal matters — baseline capture, in-flight change control, OOS documentation, and scope retrospective. Use when asked to review scoping assumptions, assess whether work is in or out of scope, draft a scope change notice, track scope changes, prepare an OOS justification, run an OOS report, prepare a scope call agenda, or review what changed on a matter. Trigger on: 'scope change', 'out of scope', 'OOS', 'scope creep', 'is this in scope', 'the client wants us to also', 'additional work', 'scope review', 'what changed from the original scope', 'we need to revisit the quote', 'the budget assumed', 'OOS report', 'scope call with the client', 'run a scope report'.

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。

Génération de sujets d'entraînement complets pour l'épreuve de NOTE DE SYNTHÈSE (5 heures, coefficient 3) de l'examen d'accès au CRFPA : choix du sujet, dossier documentaire de 16 à 20 documents assemblé à partir de sources réelles vérifiées (textes, jurisprudence, travaux parlementaires, doctrine) avec contrôle du verbatim, puis grille de notation au modèle de la Commission nationale (résumé de chaque document, problématique, thèmes cotés sur 20, plan). Livraison en deux fichiers .docx distincts, le sujet et la grille. Si l'utilisateur n'impose pas de sujet, en chercher un dans l'actualité juridique. Mode aveugle pour l'étudiant qui compose sans rien voir du corrigé. Déclencher dès que l'utilisateur demande un sujet de note de synthèse, un dossier documentaire, une note de synthèse blanche, un entraînement à l'épreuve de 5 heures du CRFPA ou de l'IEJ, ou une grille de note de synthèse. NE PAS déclencher pour les épreuves de 3 heures (sujet-crfpa-toutes-matieres) ni pour la correction de copies.

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-assisted generation of MCQs (multiple-choice questionnaires) with export to Moodle (GIFT, XML), Wooclap (Excel), Kahoot!, and Word. Supports light MCQs (gamified) and in-depth MCQs (evaluative), with single-answer and multiple-answer formats.

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。

Toolkit for comprehensive PDF reading, reviwing, and creation with visual quality control. Use to work with PDFs (.pdf files) for: (1) Reading or extracting content from existing PDFs, (2) Creating new PDF documents with professional formatting, (3) Generating reports, documents, or layouts that require precise typography and design, or any other PDF reading or generation 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。

La compétence Normalisation juridique FR nettoie un document Word rédigé en français juridique. Elle distingue deux régimes : les corrections déterministes (apostrophes courbes, guillemets français, espaces insécables, insécables des références — art. 1240, n° 21-12.345, 50 % —, ordinaux 1ère → 1re, ligatures œ, la loi dispose et non stipule, anglicismes-calques), appliquées directement ; et les réécritures de jugement (virgule avant « et », ternaires creux, formules emphatiques, harmonisations), posées en révisions Word soumises à votre acceptation. Chaque changement est consigné et restitué en tableau récapitulatif : on revient en arrière mot à mot — « défais 3, 7-10 ». La normalisation des citations reste purement formelle. Fonctionne en Cowork ou sur fichier Word.

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。

Draft GDPR/DSGVO-compliant privacy notices as .docx for any EU/EEA jurisdiction and audience. Use when user asks to create a privacy policy/notice, mentions "Datenschutzerklärung", "politique de confidentialité", "privacy notice", needs Art. 13/14 disclosures, AI Act transparency, cookie policy, or notices for applicants ("Bewerber-Datenschutz"), employees ("Beschäftigten-Datenschutz"), B2B partners, or B2C customers. Covers DE (DSGVO+BDSG+TDDDG), FR (RGPD+LIL+LCEN), AT, IT, ES, NL, BE, IE, UK GDPR. Five notice types: Website/App, Applicant, Employee, Business Partner, B2C Customer.

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。

Rigorous multi-pass editor for law review articles, student notes, seminar papers and other legal scholarship. Runs six specialized passes — structure, substantive critique, Bluebook citations, grammar and clarity, fact-checking against sources, and a synthesizing memo — and delivers an editorial memo with issues prioritized as critical, substantial or minor and keyed to specific footnotes and paragraphs. Handles articles of any length, including 50,000-word pieces, by chunking on section boundaries. Reads .docx directly. Use when editing, critiquing, workshopping or pre-submission-reviewing academic legal writing. Triggers on "edit my article," "review this draft," "critique my note," "check my Bluebook citations," "is my argument sound," "read my law review piece," "workshop this paper," "pre-submission review." Chunking needs Python 3; fact-checking needs web search; both degrade gracefully without.

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。

Assistant académique pour enseignants-chercheurs en droit. Six tâches : (1) recherche juridique approfondie avec accent doctrinal, (2) relecture de documents avec vérification des références, commentaires Word, détection d'indices de plagiat/IA et cohérence argumentative, (3) création de sujets et corrigés d'exercices juridiques universitaires, (4) mise à jour de cours, ouvrages et documents juridiques, (5) création de cours avec support docx et PPTX, (6) préparation de fiches de TD. MCP : OpenLegi, Themia, LegalDataHunter. Déclencher pour toute demande liée à l'enseignement ou la recherche en droit : cours, TD, fiches de TD, examens, sujets, corrigés, relecture, mise à jour, recherche doctrinale. NE PAS déclencher pour les QCM (utiliser qcm-generator).

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。

An end-to-end method for drafting and finalising a complex, multi-pillar regulated fintech agreement — from intake to signature. Authored from a senior fintech lawyer's manual: a licensed payment-services provider engaging a counterparty across agent cash-in/cash-out, QR payments, wallet e-payments, and a marketplace, each with its own regulatory profile. Runs five phases and fourteen steps: regulatory mapping (activity-to-licence matrix, grey-zone classification gates), architecture (framework-plus-sub-agreement structure, ring-fenced marketplace), the regulatory–commercial balance (what flexes vs what cannot), core drafting (authority, float mechanics, hard-coded regulator caps, liability — all tracking control), execution-blocker triage, and a pre-signature check closing open blockers as conditions precedent. It refuses to invent licence-specific values or draft a representation as true without executed evidence. Use it to structure, draft, negotiate, or review any regulated payments contract.

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。

Toolkit for comprehensive Spreadsheet reading, creation, editing, and analysis with visual quality control. Use to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing tabular data, (3) Modifying existing spreadsheets while preserving formulas, (4) Building financial models with proper formatting, (5) Data visualization with in-sheet charts, or any other spreadsheet 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。

Condense a scholarly legal article by moving nonessential detail from the body into substantive footnotes while preserving every word and keeping the argument self-sufficient. Handles Markdown and Word (.docx), integrates moved material with existing notes, measures a user-specified relegation fraction (25% by default), and delivers a move-by-move memo. Use when asked to "push detail into footnotes," "relegate to footnotes," "footnote the caveats," "move the digressions down," or tighten a dense draft without deleting content. Word output requires file access plus document-conversion and rendering support; when those capabilities are unavailable, deliver Markdown and the memo or ask for a convertible source.

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。

Analyze any OFAC or OFSI enforcement action — by URL, pasted text, or uploaded document — and produce a structured root cause analysis as a formatted Excel (.xlsx) spreadsheet. Use this skill whenever a user names, links to, pastes, or uploads an OFAC or OFSI enforcement action and asks for any of the following: root cause analysis, compliance gaps, what went wrong, lessons learned, organizational self-assessment, or remediation planning. Also trigger when a user asks "analyze this enforcement action", "what were the root causes", "turn this into a checklist", or "how do I make sure this doesn't happen to us". Outputs a single-sheet .xlsx table with six columns: Root Cause | What Went Wrong | How It Went Wrong | What Could Have Stopped It | Is my organization immune to this? (Yes/No/Partial) | Notes.

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。

Build a client instruction schedule — a plain-English, Scott Schedule-style Word table that gathers a struggling client's evidence and instructions issue by issue, with a one-page covering note. Use whenever the user asks for a "client instruction schedule", "instruction schedule", "client questionnaire", "schedule of questions for the client", "get instructions from the client on the papers", or says the client is overwhelmed and needs the case broken into manageable questions. Also trigger when asked to turn case papers into a structured request for client input. Do NOT use for court-facing Scott Schedules, pleadings, witness statements, or advice letters — this skill produces a client-facing working document only. Output is always a .docx draft for solicitor review, never a final document.

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。

Assistant juridique expert en droit français. Recherches, consultations, rédaction d'actes, contre-argumentaires, analyses de contrats et de pièces, veille, vérification et harmonisation de références. Produit des documents Word (computer use) ou des réponses conversationnelles structurées. MCP : OpenLegi, Themia, LegalDataHunter. Déclencher pour toute question juridique, tout concept de droit français (contrat, responsabilité, jurisprudence, code civil, tribunal, indemnisation), toute question sur le droit de l'UE, la CJUE ou la CEDH, et toute demande de vérification ou harmonisation de références bibliographiques juridiques.

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。

When you want to draft, update, convert, or export a slide deck for a React/Next.js slide system (${SLIDE_DECK_REPO:-$HOME/code/your-slide-deck-site}/src/app/slides/). Writes TypeScript Slide[] arrays using your primitives (Eyebrow, Heading, Accent, Body, BulletList, Divider, TwoCol, GradientText), 12 cycling brand gradients, optional sections for "where am I" context, and speaker notes. Inspired by zarazhangrui/frontend-slides — "show, don't tell" for narrative (presents 3 angles, you pick) plus density modes (speaker-led vs reading-first). Four modes — new (draft from brief), update (modify existing, with overflow guards), ppt (convert legacy PPTX → React deck), export (Playwright snapshot existing React deck to standalone HTML, PDF, or Vercel URL — keeps brand). Triggers on "/slide-deck," "/slides new," "/slides export," "/slides update," "/slides ppt," "draft a deck," "deck for [topic]," "talk on [topic]," "keynote on [topic]," "internal deck for [audience]," "convert this pptx," "export this deck."

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。

Build students' capacity to read historical documents closely — attending to word choice, tone, and rhetoric as evidence of perspective. Use when students summarise sources without analysing language.

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。

Design a pedagogical documentation protocol for making children's learning processes visible and shareable. Use when documenting learning, communicating with families, or planning next steps.

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。

Expert patterns for Godot 3D physics (Jolt/PhysX), including Ragdolls, PhysicalBones, Joint3D constraints, RayCasting optimizations, and collision layers. Use for rigid body simulations, character physics, or complex interactions. Trigger keywords: RigidBody3D, PhysicalBone3D, Jolt, Ragdoll, Skeleton3D, Joint3D, PinJoint3D, HingeJoint3D, Generic6DOFJoint3D, RayCast3D, PhysicsDirectSpaceState3D.

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。

Expert blueprint for desktop platforms (Windows/Linux/macOS) covering keyboard/mouse controls, settings menus, window management (fullscreen, resolution), keybind remapping, and Steam integration. Use when targeting PC platforms or implementing desktop-specific features. Keywords desktop, Windows, Linux, macOS, settings, keybinds, ConfigFile, DisplayServer, Steam, fullscreen.

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。

Expert blueprint for turn-based combat with turn order, action points, phase management, and timeline systems for strategy/RPG games. Covers speed-based initiative, interrupts, and simultaneous turns. Use when implementing turn-based combat OR tactical systems. Keywords turn-based, initiative, action points, phase, round, turn order, combat.

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。