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ThomasMoreAI/legal-skills-open

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.

legal-skills-open란 무엇인가요?

legal-skills-open is a Claude Code agent skill that 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.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ThomasMoreAI/legal-skills-open/tree/HEAD/general/personal-injury/skills/incident-report-summary

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문서

Incident Report Summary

Extracts a structured, self-sufficient summary from a police or incident report so an attorney can assess facts, parties, and issues without the original document.

Prerequisites

  1. Source report (police, crash, workplace, or investigative document).
  2. All attachments — supplements, witness forms, diagrams, photos.
  3. Matter identifier — case name or number.

Quick Start

  1. Identify report type and adapt extraction fields accordingly (e.g., skip vehicle info for workplace incidents).
  2. Extract each section below in order.
  3. Flag every gap, contradiction, or ambiguity.
  4. Verify every fact traces to specific source language — no inference.

Output Sections

Produce sections in the order listed.

1. Header

FieldExtract
Report/Case NumberOfficial identifier
Incident Date/TimeInclude time zone if available
Report Filed DateIf different from incident date
LocationFull address, intersection, or mile marker
AgencyName, officer/investigator, badge number
Report TypeCollision, criminal, workplace, etc.

2. Parties Involved

Per party, extract:

  • Role — Driver / Passenger / Pedestrian / Victim / Suspect / Reporting Party / Employee
  • Name — full legal name
  • DOB / Age
  • Address, Contact (phone, email)
  • ID — license number + state, or employee ID
  • Vehicle (if applicable) — year, make, model, color, VIN, plate
  • Insurance (if applicable) — carrier, policy number
  • Injuries noted — as described in report

3. Narrative Summary

Provide two versions:

  • Complete narrative — preserve the officer/investigator's full account.
  • Key facts extract — legally significant facts only:
    • Fault admissions
    • Impairment / recklessness / distraction observations
    • Physical evidence (skid marks, distances, measurements)
    • Injury descriptions
    • Safety equipment use or non-use
    • Environmental conditions

Flag ambiguities, contradictions, and temporal gaps.

4. Citations / Charges

Person CitedStatute/CodeDescriptionIssued At Scene?Court DatePenalty

5. Witnesses

Per witness:

FieldDetail
NameFull name
ContactPhone, address, email
RelationshipIndependent or party-related
Location at incidentPosition and facing direction
Statement summaryKey observations in their words
  • Preserve direct quotes verbatim (excited utterances / hearsay exceptions).
  • Flag witnesses identified but not interviewed.
  • Flag references to unidentified potential witnesses.

6. Contributing Factors

CategoryExamplesEvidence Source
EnvironmentalWeather, lighting, road surface, visibilityPhysical evidence / narrative
HumanSpeed, inattention, impairment, fatigueWitness / admission / observation
EquipmentMechanical failure, defectsInspection / narrative
SystemicTraining gaps, hazardous conditionsReport findings

Flag factors suggesting:

  • Third-party liability — road design defects, product defects, employer violations
  • Affirmative defenses — comparative negligence, assumption of risk, intervening cause

7. Visual Documentation

Describe each diagram, sketch, or photo:

  • Collision diagrams — road layout, lanes, traffic controls, vehicle positions (pre/during/post), point of impact, final rest, measurements.
  • Photos — subject, perspective, visible damage/injuries, evidence markers.
  • Note information in visuals absent from the narrative.

8. Gaps and Follow-Up

  • Missing party contact information
  • Uninterviewed or unidentified witnesses
  • Narrative contradictions needing deposition clarification
  • Missing supplemental reports referenced but not attached
  • Unclear measurements or diagram elements
  • Pending lab results, toxicology, or reconstruction reports

Checks

  • Every fact must trace to specific source language — no inference or speculation.
  • Distinguish officer's direct observations from relayed information.
  • Use consistent date (MM/DD/YYYY) and time format throughout.
  • Adapt fields to report type — omit inapplicable sections.
  • Protect PII not relevant to liability or damages.
  • Use [VERIFY] on any uncertain extraction.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

ThomasMoreAI/legal-skills-open

Track the IP portfolio — registrations, renewals, maintenance fees, and use declarations. Use when checking what's renewing, adding or updating an asset, recording a maintenance filing, or auditing the register for gaps, lapses, and use-in-commerce questions. Receives handoffs from prosecution and clearance work.

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

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。

ThomasMoreAI/legal-skills-open

Strategische Markenportfolio-Planung für Luxus-Modehaeuser: Mandant will Marken in DE/EU/international schützen oder Portfolio optimieren. Normen: §§ 32 ff. MarkenG, Art. 32 ff. UMV (EU) 2017/1001, Madrid-Protokoll (WIPO). Prüfraster: Nizza-Klassen (3/14/18/25/35), Multi-Class-Strategie, Prioritaets-Kaskade, Kostenoptimierung, Anmeldezeitpunkt. Output Marken-Portfolio-Plan, Anmelde-Empfehlung je Territorium, Kostenprojektion. Abgrenzung: Einzelne Anmeldung DPMA siehe wortmarke-anmeldung-dpma; Madrid-Protokoll Details siehe madrid-protokoll-und-internationale-registrierung.

ThomasMoreAI/legal-skills-open

Audit an intellectual-property portfolio for ownership, protection, scope, deadlines, territorial coverage, use, value, encumbrances, and enforcement risk. Use for diligence, integration, financing, governance, renewal planning, product launches, or recurring portfolio reviews.

ThomasMoreAI/legal-skills-open

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).

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

Vorlagetabelle für Portfolio-Review von Arbeitsvertraegen im 3D-Format: Forderung/Prüfung/Stellung. Normen: BGB, KSchG, ArbZG. Prüfraster: Vertragsbedingungen, Klauselgueltigkeit, HR-Compliance. Output: Arbeitsvertrag-Portfolio-Tabelle. Abgrenzung: nicht allgemeine 3D-Review-Konfiguration.

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

Statusuebersicht aller laufenden Prozessmandate: Fristen, Verfahrensstand, naechste Schritte. Normen: ZPO, RVG. Prüfraster: Fristenliste, offene Anträge, Termine, Mahnfristen. Output: Portfolio-Statusbericht Prozessmandate. Abgrenzung: nicht Einzelmandat-Briefing.

ThomasMoreAI/legal-skills-open

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

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

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

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

Analyzes an entire portfolio of contracts at scale — extracting key terms, obligations, renewal dates, risk provisions, and financial commitments across hundreds or thousands of agreements simultaneously. Produces structured reports, obligation trackers, renewal calendars, and risk matrices. Also supports playbook-based redlining where contracts are compared against preferred positions and automatically marked up. Use when an in-house legal team, GC, legal ops, procurement, or finance team needs portfolio-wide visibility into contract terms, upcoming renewals, obligation compliance, or batch contract review against organizational standards.

ThomasMoreAI/legal-skills-open

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.

ThomasMoreAI/legal-skills-open

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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