session

Name: session
Author: anthropics

Run a focused N-question study session on a subject — MBE, essay, or flashcards. Tracks performance and updates the study plan. Use when the user says "run me 10 questions on [subject]", "do a session on [subject]", "let's do 5 cards on [subject]", or wants to drill a fixed number of questions and have the plan adapt.

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★ 9,706

来源

GitHub

更新于

2026-10-17

// 安全评估低风险

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// 安装

复制安装指令，让 AI 自动完成配置 · 推荐新手

请帮我安装 askskill 上的 "session" 技能：
1. 下载 https://raw.githubusercontent.com/anthropics/claude-for-legal/main/law-student/skills/session/SKILL.md
2. 保存为 ~/.claude/skills/session/SKILL.md
3. 装好后重载技能，告诉我可以用了

// 下载

下载 SKILL.md机读安装清单 ↗

// 文档

/session

Parse $ARGUMENTS — subject and N. If missing, ask:

What subject, and how many questions? (e.g., Evidence 10 or Contracts 5 --essay.)
Load ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md → jurisdiction, exam format, weak subjects.
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.
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.
Run N questions one at a time. After each, explain right/wrong and flag rule-body when jurisdictions diverge.
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.
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