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education-trainingEducation & Training Assistant

面向K12至高等教育与企业培训的教学辅助技能,提供课程大纲与教案生成、智能组卷与自动批改、知识点图谱与个性化学习路径(含SM-2复习排程)、学术论文结构与引文格式辅导、企业培训及多语言双语教学。内置Bloom分类学及IB/AP/A-Level等大纲框架,内容以模块说明和YAML参数示例为主,未包含可执行脚本。

ai-gaoqian
ai-gaoqian
热度 20.99
最近更新 2026-06-13 21:13:43
分类:知识依赖:纯提示词应用场景:教学辅导 / 测验 / 概念解释 / 语言学习 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add education-training
Metadata
name
Education & Training Assistant
slug
education-training
description
全能教育培训辅助技能。覆盖K12到高等教育全阶段,支持课程设计、智能组卷与自动批改、知识点图谱生成、个性化学习路径规划、学术论文润色与查重辅助、多语言教学支持。内置Bloom分类学框架与全球主流课程大纲标准(IB/AP/A-Level/高考/考研)。
version
1.0.0
author
ai-gaoqian
tags
["education","learning","teaching","exam","academic"]
metadata
{"openclaw":{"requires":["python>=3.10","nltk"]}}

Education & Training Assistant

All-in-one educational support skill covering K12 to higher education, corporate training, and self-directed learning.

Core Modules

1. Curriculum Design

  • Syllabus generation aligned with standards (IB, AP, A-Level, 高考, CBSE, Common Core)
  • Unit/lesson plan creation with learning objectives (Bloom's Taxonomy)
  • Cross-disciplinary integration mapping
  • Prerequisite knowledge graph linking
  • Time-boxed semester/quarter planning

2. Intelligent Assessment

  • Auto-generate questions (MCQ, short answer, essay, coding, math proofs)
  • Difficulty calibration (Easy/Medium/Hard → Bloom's levels)
  • Automated grading with detailed feedback
  • Rubric-based essay evaluation
  • Plagiarism detection hints and citation verification
  • Item Response Theory (IRT) analysis for question quality

3. Knowledge Graph & Learning Path

  • Subject-specific concept graphs (Math, Physics, CS, Biology, History, etc.)
  • Prerequisite chain visualization
  • Personalized learning path based on diagnostic assessment
  • Knowledge gap identification and targeted remediation
  • Spaced repetition scheduling (SM-2 algorithm)

4. Academic Writing Support

  • Paper structure review (IMRaD)
  • Citation formatting (APA 7, MLA 9, Chicago, GB/T 7714)
  • Literature review synthesis assistance
  • Argument coherence and logical flow analysis
  • Journal/conference matching suggestions
  • LaTeX formatting and template generation

5. Corporate Training

  • Employee onboarding curriculum
  • Compliance training content generation
  • Skills gap analysis and upskilling paths
  • Micro-learning module creation (5-10 min)
  • Kirkpatrick evaluation framework integration

6. Multi-language Teaching

  • Bilingual lesson content generation (CN/EN/JP/KR/FR/DE/ES)
  • Translation with pedagogical adaptation
  • Cultural context notes for language learners
  • Pronunciation guides with IPA notation

Usage Examples

# Generate a physics exam
subject: Physics
level: Grade 11
topics: [Mechanics, Thermodynamics]
format: [MCQ, short_answer, numerical]
difficulty_distribution: {easy: 20%, medium: 50%, hard: 30%}
total_questions: 30
time_limit: 90min
language: bilingual_cn_en

# Create learning path
student_profile:
  current_level: Grade 10 Math
  target: AP Calculus BC
  available_hours_per_week: 8
  preferred_style: visual
output: personalized_study_plan.md