anthropics/claude-for-legal

session

Run a focused N-question study session on a subject — MBE, essay, or flashcards.

Ver código-fonte

Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/anthropics/claude-for-legal --skill session

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

/session

  1. Parse $ARGUMENTS — subject and N. If missing, ask:
What subject, and how many questions? (e.g., Evidence 10 or Contracts 5 --essay.)
  1. Load ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md → jurisdiction, exam format, weak subjects.
  2. Load ~/.claude/plugins/config/claude-for-legal/law-student/study-plan.yaml if it exists. Read session_history for this subject to weight subtopics toward where the student has been weak.
  3. Route by method flag:
  • --mbe (default for bar prep subjects): load bar-prep-questions skill, run N MBE-style questions. Apply jurisdiction handling (see that skill's ## Jurisdiction handling). Label each [UBE/majority] or [state-specific].
  • --essay: load bar-prep-questions, run N essay prompts. Grade per essay-mode rubric.
  • --flashcards: load flashcards skill, run N cards in --drill mode.
  1. Run N questions one at a time. After each, explain right/wrong and flag rule-body when jurisdictions diverge.
  2. At session end, write session results:
  • If study-plan.yaml exists: append to session_history per the schema in the study-plan skill.
  • If not: write to ~/.claude/plugins/config/claude-for-legal/law-student/session-history.yaml.
  1. Report:
  • Score: X/N (percentage)
  • Missed: list with subtopic tags
  • Weak subtopics this session
  • Pattern vs. prior sessions on this subject (if history has 2+ prior)
  • What the plan now recommends next

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