5,186 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
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Submit marketplaceVerification-first methodology for the Special Court for Sierra Leone and its Residual Special Court. Citations are verified against rscsl.org and legal-tools.org. Covers Taylor, the AFRC/CDF/RUF cases, the child-soldier and forced-marriage holdings, the head-of-State immunity decision, and the fixed-term (no life) penalty regime. Research aid, not legal advice.
Verification-first methodology for the Jurisdicción Especial para la Paz (JEP), Colombia's transitional justice court under the 2016 Acuerdo Final with FARC-EP. Citations are verified against jep.gov.co before use. Covers the 11 macrocasos (from Caso 01 secuestro through Caso 11 violencia sexual, including Caso 03 falsos positivos), the three sanction tiers (propias, alternativas, ordinarias), TOAR, and the SIVJRNR sister bodies (CEV, UBPD). Guards the key structural distinctions (Sala de Reconocimiento vs Tribunal para la Paz; comparecientes FARC-EP vs Fuerza Pública vs terceros civiles; Acto Legislativo 01/2017 vs Ley Estatutaria 1957/2019). Research aid, not legal advice.
Verification-first methodology for the Special Panels for Serious Crimes of the Dili District Court (UNTAET, 2000–2006). Citations are verified against JSMP, the UN archives and legal-tools.org. Covers the Los Palos case, the Serious Crimes Unit caseload (391 indicted; about 88 tried) and the SPSC-vs-Jakarta distinction. Research aid, not legal advice.
Verification-first methodology for the Special Tribunal for Lebanon. Citations are verified against the STL legacy archive and legal-tools.org. Covers the Ayyash et al. case, the two contempt cases (STL-14-05 New TV/Al-Khayat and STL-14-06 Akhbar Beirut/Al-Amin), and the 2011 terrorism decision. Research aid, not legal advice.
Verification-first methodology for the UNMIK Regulation 64 Panels of the Kosovo district courts (2000–2008). Citations are verified against UNMIK/EULEX archives and legal-tools.org. Keeps the Reg. 64 Panels distinct from the Kosovo Specialist Chambers, and clarifies that Reg. 2000/64 permitted (did not impose) internationally-majority panels. Research aid, not legal advice.
Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal questions — data subject requests, vendor inquiries, NDA requests, discovery holds — or when managing response templates.
Turn complex legal analysis into clear, commercially useful client-facing advice. Use this whenever the user has dense legal material — drafting, internal analysis, counsel notes, research memos, pleadings, a case update, or correspondence — and wants it converted into something a client can actually understand and act on. Trigger on phrases like 'explain this to the client', 'put this in plain English', 'translate this for a non-lawyer', 'turn this into client-facing advice', 'make this client-ready', 'draft a client update', or when the user shares legal analysis and asks 'what does this mean for them'. Also trigger when the user wants a board summary, litigation risk update, or call script derived from legal material. The skill preserves legal nuance, uncertainty, and risk rather than oversimplifying — it makes advice usable, not just simpler.
A skill for anyone needing legal documents translated into publication-ready English. Hand it a Word file in any language; get back an English .docx with formatting preserved, delivering notably higher quality than e.g. Legora’s DeepL tool. Unique features: * Skill has built-in English general lexicons and per-language sub-lexicons (phrasebooks) covering M&A, IP, IT/SaaS, finance, tax, litigation, employment and more. Full sub-lexicon coverage for 11 languages including Spanish, German, French and Chinese; others translate really well too. * Track changes read correctly when accepted or rejected, and typos are collapsed. * Definitions reordered alphabetically. * Headers, footers, footnotes and comments translated. * Translates to UK English by default, US English on request. * Quality gates throughout. * Takes minutes rather than seconds and is larger than simpler skills, but overall quality is higher. US English default version here: https://lawve.ai/en/skills/en-us-legal-translation-
A skill for anyone needing legal documents translated into publication-ready English. Hand it a Word file in any language; get back an English .docx with formatting preserved, delivering notably higher quality than e.g. Legora’s DeepL tool. Unique features: * Skill has built-in English general lexicons and per-language sub-lexicons (phrasebooks) covering M&A, IP, IT/SaaS, finance, tax, litigation, employment and more. Full sub-lexicon coverage for 11 languages including Spanish, German, French and Chinese; others translate really well too. * Track changes read correctly when accepted/rejected, and typos are collapsed. * Definitions reordered alphabetically. * Headers, footers, footnotes and comments translated. * Translates to US English by default, UK English on request. * Quality gates throughout. * Takes minutes rather than seconds and is larger than simpler skills, but overall quality is higher. UK English default version here: https://lawve.ai/en/skills/legal-translation-uk-englis
Les LLM écrivent du juridique qui ressemble à du juridique sans en être. Formules creuses, attributions vagues, hedging systématique, latin décoratif : un praticien repère ces tics en trois lignes. Un juge aussi. Ce skill scanne 17 patterns typiques de l'écriture IA appliquée au droit français (conclusions, consultations, notes, mails, actes) et réécrit chaque passage pour retrouver le ton d'un avocat qui argumente, pas d'un modèle qui rédige. Le résultat : un texte engagé, précis, avec des références sourcées et une position claire. Pas un texte neutre qui "reste à disposition pour tout complément".
Audits a legal document against legal design principles. Scores the document on six pillars: language patterns (bureaucratese, archaisms, passive voice, nominalization), readability (Flesch Reading Ease and language-specific equivalents), structure and navigation, hidden conditions (material obligations buried away from their headings), statutory duplication (restating the law instead of citing it), and visual hierarchy where layout is available. Assessment-only; does not rewrite the document. Works on English, French, and German documents, inferring the applicable jurisdiction from the document's language and textual signals: governing-law clause, statute citations, party addresses. Use when a user shares a legal document (contract, NDA, T&C, privacy policy, internal policy) asking how good the drafting is from a legal design perspective, whether it is readable, whether it contains buried clauses or restates the law, or how it scores on Flesch / LIX / Amstad / Kandel-Moles readability
Produces properly-formatted legal documents in Word (.docx). The user provides the substantive content (instructions, attached files, project knowledge); the skill handles document architecture and formatting. * No precedent or template required * Seven document families: agreements, corporate documents, litigation, memos, employment, policies, correspondence * Jurisdiction-agnostic — works across any legal system the user specifies * Multi-Chain numbering, defined-terms convention, structured recitals, atomic signature blocks * Also reformats existing .docx to a consistent house style * Works in Claude.ai, Cowork, and Claude for Word
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.
Apply elite legal writing techniques drawn from Justice Kagan, Boies & Olson, and other top advocates to any legal document — briefs, submissions, letters, opinions, memos, or persuasive correspondence. Covers both prose craft (clarity, concrete examples, parallel construction, voice, strategic quoting) and architectural strategy (argument sequencing, framing, openings, endings), plus a dedicated section on detecting and removing AI-sounding patterns from legal prose. Use whenever drafting, editing, or sharpening any legal document that needs to genuinely persuade, not just be technically correct.
Optimise Claude pour la relecture des textes en français, qu'ils soient littéraires, techniques, professionnels... Vérification de la grammaire, de l'orthographe, traque des barbarismes, suggestions de modifications stylistiques.
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.
Produces detailed law-school case briefs of United States judicial opinions in a fixed nine-section structure: memory jogger, facts, procedural history, judicial votes, holding, opinion-by-opinion analysis, five future-application hypotheticals, critique, and verified key quotations. Also builds vote tables, cross-case consistency tables, perspective-based critiques, and LaTeX in article, Beamer and casebook-chapter formats. Use whenever someone asks to brief a case, analyse or explain an opinion, summarise a decision for students, generate hypotheticals from a holding, critique a judgment, tabulate how justices voted, or convert case analysis to LaTeX. Triggers on "brief this case", "case brief", "explain the holding", "what did the court hold", "hypotheticals based on", "critique this opinion", "vote table", "Beamer presentation", "chapter brief", and on any reference to a judicial opinion or Supreme Court decision in a teaching context. Requires web search to verify quotations, vote
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progressive complexity scenarios. Use when: (1) Demonstrating AI-powered legal triage or intake systems, (2) Showcasing responsible AI-assisted client interactions, (3) Training staff on appropriate AI use in legal contexts, (4) Creating realistic scenarios for legal tech presentations, (5) Developing educational materials about AI in legal services, or (6) Testing AI-powered legal information systems in controlled environments.
Builds a high-fidelity interactive legal assessment as a single self-contained HTML artifact. Output includes a live countdown timer, contract review tasks with hover-annotated problem clauses, candidate answer textareas, model answers hidden behind reveal blocks, scenario-based legal memo tasks, strategy and function-building questions, and a pre-submission checklist that encodes the marking criteria. Use when the user needs to (1) assess a legal candidate with a realistic timed exercise, (2) train or onboard junior lawyers using problem sets rather than doctrine, (3) help a candidate prepare for a real take-home assessment they are facing, (4) build educational materials for law students, in-house teams, or compliance training, or (5) produce scenario-based training modules on specific legal topics. Triggers on "legal test", "take-home", "mock exam", "contract redline exercise", "candidate assessment", "legal training exercise", "practice test", or similar phrasing even when informal
Génération assistée de QCM (questionnaires à choix multiples) avec export vers Moodle (GIFT, XML), Wooclap (Excel), Kahoot! et Word. Supporte QCM légers (ludiques) et approfondis (évaluatifs), à choix unique et réponses multiples.
