Art & Design

ThomasMoreAI/legal-skills-open

github.com

Generates a chronological timeline of warranty requests, claims, and complaints for product defect litigation, regulatory proceedings, or internal investigations. Analyzes complaint patterns, establishes manufacturer notice dates, and calculates defect statistics. Use when building warranty claim timelines, product defect chronologies, complaint pattern analysis, discovery summaries, expert report exhibits, or trial timeline exhibits.

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ThomasMoreAI/legal-skills-open

github.com

Normalizes diagnostic and procedure codes from medical records into clean, attorney-readable form. Cross-walks ICD-9 to ICD-10-CM, expands ICD-10 codes to narrative descriptions, expands CPT codes to procedure descriptions, and flags bundling or unbundling oddities relevant to billing disputes. Use this skill any time medical codes appear in records being summarized for litigation use, including medical chronologies, demand letters, and billing review. Also use when the user asks what a specific medical code means.

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ThomasMoreAI/legal-skills-open

github.com

Drafts a court-ready Complaint for Negligence establishing duty, breach, causation, and damages with jurisdiction-aware pleading standards (Twombly-Iqbal federal vs. state notice/fact pleading). Use when filing a negligence complaint, initiating a personal injury suit, or pleading tort claims such as motor vehicle collisions, premises liability, or professional negligence.

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ThomasMoreAI/legal-skills-open

github.com

Search FirmVault legal case documents — medical records, legal filings, insurance papers, correspondence. Use when looking up case files, finding documents by date / provider / category, locating records inside a case folder, or querying across cases. Auto-detects current case from working directory. Triggers on phrases like "find in case", "medical records", "legal documents", case names, provider names, or date ranges.

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ThomasMoreAI/legal-skills-open

github.com

Track the IP portfolio — registrations, renewals, maintenance fees, and use declarations.

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ThomasMoreAI/legal-skills-open

github.com

Classifies personal vs non-personal data per GDPR Art. 4(1) definition test with decision tree for borderline cases. References Breyer v Germany CJEU C-582/14 dynamic IP ruling and WP29 Opinion 4/2007. Keywords: personal data, GDPR Art 4, data classification, Breyer ruling, identifiability test, PII.

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ThomasMoreAI/legal-skills-open

github.com

Generates structured, litigation-ready summaries from police reports, crash reports, workplace incident reports, or investigative documents. Extracts parties, narratives, citations, witnesses, contributing factors, and visual documentation into a standardized format. Use when summarizing an incident report for case assessment, discovery planning, or liability evaluation; trigger keywords: police report, accident report, crash report, incident summary, report summary, investigative report.

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ThomasMoreAI/legal-skills-open

github.com

Verkehrsunfall-Mandat im Zivilprozess vorbereiten: Schadensersatz, Schmerzensgeld, Versicherungskorrespondenz. Normen: §§ 7 18 StVG, §§ 823 253 BGB, § 115 VVG. Prüfraster: Haftungsquote, Schadensposten, Verjaebrung, Regulierungsablauf. Output: Klageschrift Verkehrsunfall oder Klageerwiderung. Abgrenzung: nicht Strafrecht oder Ordnungswidrigkeiten.

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ThomasMoreAI/legal-skills-open

github.com

Roll up the portfolio from _log.yaml — risk distribution, upcoming deadlines, stale matters, materiality totals, stage distribution, and flagged anomalies.

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ThomasMoreAI/legal-skills-open

github.com

Mandant hatte Verkehrsunfall und fragt: Wer haftet wie viel und welche Schadensposten koennen geltend gemacht werden? §§ 7 17 18 StVG iVm § 254 BGB Haftungsquote. Prüfraster: Betriebsgefahr beidseitig Anscheinsbeweis Auffahrunfall Spurwechsel Rotlicht Vorfahrt Mithaftung Tempo Sicherheitsabstand Anschnall. Schadenspositionen Reparatur fiktive Abrechnung Mietwagen Nutzungsausfall Sachverständige Schmerzensgeld. Output: Haftungsquoten-Berechnung und Schadenstabelle. Abgrenzung zu fachanwalt-verkehrsrecht-regulierungsanforderung (Gläubigerseite vs. Versicherer) und fachanwalt-verkehrsrecht-versicherer-quotenverhandlung-vergleich.

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ThomasMoreAI/legal-skills-open

github.com

Strukturierte Prüfung von Ansprüchen wegen Behandlungsfehler nach §§ 630a ff. BGB iVm § 823 BGB. Behandlungsvertrag Aufklärungspflicht § 630e BGB Dokumentationspflicht § 630f BGB Beweislastregeln § 630h BGB grober Behandlungsfehler Beweislastumkehr voll beherrschbares Risiko Anfaengerstandard Schmerzensgeld § 253 BGB. Schlichtungsstelle Aerztekammer MDK-Gutachten. Verjährung drei Jahre § 195 BGB Hoechstfrist dreissig Jahre § 199 Abs. 2 BGB.

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ThomasMoreAI/legal-skills-open

github.com

Behandlungsfehler §§ 630a 630h BGB Verletzung medizinischer Standard. Diagnosefehler Therapiefehler Befunderhebungsfehler Hygienefehler. Beweisregeln § 630h BGB Vermutung Kausalität bei grobem Behandlungsfehler § 630h Abs. 5 BGB Befunderhebungsfehler Dokumentationsmangel. Schadensersatzanspruch §§ 280 823 BGB Schmerzensgeld § 253 BGB. Verjährung drei Jahre § 195 BGB ab Kenntnis 30 Jahre Hoechstfrist.

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ThomasMoreAI/legal-skills-open

github.com

Unternehmen oder Kanzlei muss IP-Portfolio verwalten und anstehende Fristen im Blick behalten. Schutzrechtsportfolio-Verwaltung. Prüfraster: Eintragungen Verlaengerungen Jahresgebühren Benutzungsnachweise Fristkalender. Output: Fristenkalender und Portfolio-Audit mit Luecken Verfall und Benutzungsfragen. Abgrenzung zu schutzschrift-eilverfuegung (Verletzungsverteidigung) und markenanmeldung-dpma.

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ThomasMoreAI/legal-skills-open

github.com

Workflow-Skill zu fachanwalt medizinrecht aufklaerungsfehler. Nutzt Normtext, Nutzerangaben und verifizierte Quellen; Rechtsprechung nur nach Live-Pruefung mit Gericht, Datum und Aktenzeichen.

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ThomasMoreAI/legal-skills-open

github.com

Workflow-Skill zu aufklaerungsfehler beweisstrategie. Nutzt Normtext, Nutzerangaben und verifizierte Quellen; Rechtsprechung nur nach Live-Pruefung mit Gericht, Datum und Aktenzeichen.

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ThomasMoreAI/legal-skills-open

github.com

交通事故责任评估与判定专业技能。当用户需要交通事故责任分析、事故现场照片评估、交通法规咨询、事故责任划分、法律依据查询时触发此技能。适用于车辆碰撞事故、行人事故、非机动车事故等各类道路交通事故的责任认定场景。无论用户使用"交通事故"、"车祸"、"责任判定"、"交通法规"、"事故定责"等何种表述,只要涉及交通事故评估或责任认定,均应调用此技能。

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ThomasMoreAI/legal-skills-open

github.com

Use when a matter involves marriage, divorce, property division, custody, or inheritance for non-Muslim residents of the UAE under Federal Decree-Law 41/2022 (the UAE Civil Personal Status Law) or the DIFC Wills Service Centre. Covers no-fault divorce, joint-custody default, equal-property division, testamentary freedom for non-Muslims, pre-nuptial agreement enforceability, and the parallel DIFC/ADGM wills regimes. Contrasts with the UAE Personal Status Law 28/2005 (Sharia-based) which governs Muslim residents. Triggers on non-Muslim divorce UAE, UAE civil marriage, DIFC wills, UAE prenup, or expat family law UAE questions.

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ThomasMoreAI/legal-skills-open

github.com

Assesses product liability exposure on given facts — classifying the defect as manufacturing, design, or warning/instruction, mapping which party in the supply chain is potentially exposed, and grading the realistic exposure. Use this whenever a user wants product liability worked through rather than a general deficiency test — including phrasings like "what's our exposure if this product injured someone", "is this a design defect or a manufacturing defect", "who in the supply chain is on the hook here", "assess our product liability risk on these facts", or "how exposed are we if the warning label was inadequate". Distinct from deficiency-analyst, which tests service and trade-practice thresholds — this is specific to defective products and supply-chain exposure. Fires for any product liability question, in any jurisdiction, for manufacturers, assemblers, sellers, distributors, or importers.

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ThomasMoreAI/legal-skills-open

github.com

KI-VO Hochrisiko-Anforderungen für Personalwesen in Kanzleien ab August 2026: Anwendungsfall Kanzlei setzt KI im HR-Bereich ein oder beraet Mandanten zum AGG-konformen KI-Einsatz bei Bewerberauswahl. Anhang III Nr. 4 KI-VO Hochrisiko Bewerberauswahl, Inkrafttreten 2. August 2026, AGG Diskriminierungsverbot. Prüfraster Hochrisiko-Klassifizierung eigener HR-KI, Konformitätsbewertung, Transparenzpflichten für Betroffene, Beratungsmandate Arbeitsrecht. Output Checkliste Hochrisiko-Anforderungen mit Umsetzungsplan für August 2026. Abgrenzung zu Bias-und-Diskriminierung-Prüfung und zu KI-VO-Betreiber-Pflichten.

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ThomasMoreAI/legal-skills-open

github.com

When the user's message starts with "Canada" (case-insensitive), generate a full Ontario PI Case Assessment Memo from the case_stressor corpus and return it verbatim. This is the primary handler for Canadian fact patterns — DO NOT ask clarifying questions first; run the memo and let the lawyer react.

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ThomasMoreAI/legal-skills-open

github.com

Use whenever the user asks about a motor-vehicle statute, citation, contributing factor, OR a Canadian personal-injury fact pattern — always query Specter's Harvester API before answering. The API auto-routes between two collections (US statutes + Canadian PI case law).

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Tera-Dark/personal-agent-skills

github.com

Reviews an existing image-generation prompt by separating design intent from model syntax — what it is trying to say, which design layer is weak (thesis, silhouette, garment structure, causality, density, punctum), what is noise, and what a rewrite should change. Use for 优化提示词, 这个 prompt 哪里有问题, prompt review, 分析这段提示词, why does this prompt not work.

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Tera-Dark/personal-agent-skills

github.com

Turns a Creative Brief into an authored, model-agnostic illustration blueprint — the image thesis, captured moment, visual motif, environment-character relationship, camera and framing, scale contrast, negative space, physical light sources, density map, narrative residue, and one coherent surreal detail. Use for 插画, 氛围图, 竖屏, 半留白, 印象风, 故事感, key visual, poster, scene illustration, cinematic composition, or whenever a character needs to be placed into a designed moment rather than displayed on a plate. Never writes model-specific prompt syntax.

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Tera-Dark/personal-agent-skills

github.com

Model adapter that compiles a finished character or illustration blueprint into a natural-language image prompt for models that are not Anima or NAI5 — Midjourney, DALL-E / GPT Image, Google Imagen / Gemini image, Flux, SDXL-style checkpoints, or an unnamed target. Keeps parameters out of the prompt unless the target officially supports them, and labels every model-specific claim with an evidence level. Use when the user names any other image model, says 通用提示词, MJ, Midjourney, DALL-E, Imagen, Flux, SD, 或没说用什么模型. Does not design — if no blueprint exists, route through aesthetic-director-core first.

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