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GitHub Skill

learning-path-patterns

Comprehensive guide to Learning Path patterns for the Plataforma B2B de treinamento técnico corporativo educational platform. This skill covers the conceptual difference between Study Areas (courses) and Proposed Paths (sequences of courses), data modeling, UI/UX patterns, and implementation guidelines. Learn how to structure Learning Paths correctly: a Proposed Path is NOT a container of loose flashcards, but a curated sequence of Study Areas (courses). Each path references existing courses with metadata like order, availability status, and estimated hours. Real-world examples are taken from the Hub MVP implementation (US-044), including caminhoExemploData.js, HubView.jsx, and LearningPathView.jsx. The skill demonstrates the reference pattern used for "Desenvolvedor Backend" path that sequences Bash, Linux, Docker, and DevOps courses. Key topics include data schema design (cursos array with ordem, areaId, disponivel flags), computed properties (getters for statistics), navigation patterns (path -> course

joaopelegrino☆ 0 仓库 Stars0 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

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技能说明

功能与用途

Comprehensive guide to Learning Path patterns for the Plataforma B2B de treinamento técnico corporativo educational platform. This skill covers the conceptual difference between Study Areas (courses) and Proposed Paths (sequences of courses), data modeling, UI/UX patterns, and implementation guidelines. Learn how to structure Learning Paths correctly: a Proposed Path is NOT a container of loose flashcards, but a curated sequence of Study Areas (courses). Each path references existing courses with metadata like order, availability status, and estimated hours. Real-world examples are taken from the Hub MVP implementation (US-044), including caminhoExemploData.js, HubView.jsx, and LearningPathView.jsx. The skill demonstrates the reference pattern used for "Desenvolvedor Backend" path that sequences Bash, Linux, Docker, and DevOps courses. Key topics include data schema design (cursos array with ordem, areaId, disponivel flags), computed properties (getters for statistics), navigation patterns (path -> course

快速开始

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

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使用示例

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来源历史

收录时间
2026-01-20
索引更新时间
2026-01-26
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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