This skill transforms academic papers into theoretically grounded product designs using Pedagogical Constraint Reasoning. It acts as a Grounding Engine, compiling pedagogical intent into executable system design structures, with a Traceability Map ensuring clear pedagogical justification for each design decision.
/plugin marketplace add edu-ai-builders/pedagogical-grounding-engine
The exact command may vary by repository. Check the README on GitHub.
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Automates browser interactions with persistent page state. Use for navigating websites, filling forms, taking screenshots, extracting web data, testing web apps, or automating browser workflows.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to
Use when you need to ask questions about a codebase or understand code using a knowledge graph.
Launch the interactive web dashboard to visualize a codebase's knowledge graph.
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把教学法意图（pedagogical intent）编译为可执行的系统设计结构。
这个 skill 是一个编译器（compiler），不是摘要工具，不是 feature 生成器。
它有四个核心职责，按执行顺序排列：
| 职责 | 做什么 | 对应流水线层 |
|---|---|---|
| Extract（抽取） | 从论文/场景中识别学习目标、认知挑战、隐含的教学法、关键构念 | 第1-2层 |
| Ground（落地） | 把抽象理论转化为：认知动作（对比/分解/模拟）、知识结构（图/序列/层级）、学习流程 | 第3层 |
| Map（映射） | 把落地后的认知结构映射到：图 Schema、UI 组件、功能模块、系统行为 | 第4层 |
| Justify（溯源） | 为每个设计决策输出：为什么存在、链接到哪条理论、去掉会损失什么 | 第4-5层 |
产物优先级：Traceability Map（核心产物）→ System Prompt →
[Description truncada. Veja o README completo no GitHub.]
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