oh-my-teacher: AI teaching assistant for end-of-term exam review at Chinese-language universities Skill
oh-my-teacher is a community education-category Skill published on SkillHub at coordinates @user_75e4d433/oh-my-teacher, version 1.0.3, tagged requires_api_key=false, meaning no additional API Key is required. Designed for Chinese university end-of-term exam preparation, it first builds a course profile and then organizes learning through the flow of material analysis, key point extraction, question type identification, mock training, grading feedback, weakness remediation, and spaced review. It produces must-memorize checklists, confusable concept summaries, chapter priority tables, simulated mock exam questions, rubrics, mistake logs, SRS due reviews, pre-exam quick-memo sheets, and a review dashboard, while supporting Feynman-style explanations, Socratic questioning, active recall, oral exam training, code demos, and visual explanations. For Agents with proactive messaging capabilities such as OpenClaw and Hermes, it can generate knowledge summarization sheets and memory reminders after the user explicitly enables this; by default, it does not disturb automatically. It adopts a shared core protocol plus multi-Agent adapter architecture, declares support for environments including Codex, Claude, OpenClaw, Hermes, WorkBuddy, Qoder Work, Trae, and ima, and automatically falls back. The author positions it as an exam-prep training tool rather than an exam-taking proxy tool. This article describes its positioning, verified capabilities, enabling method via coordinates, typical trigger scenarios, and usage limitations; the official page fetch failed this time, so the install command is not provided, and the rating of 100000 and 938 downloads are SkillHub page values as of the fetch date.
Read MoreEarly Childhood Language Learning: Expert Assistant for Bilingual Education
Early Childhood Language Learning is a Skill designed to transform an Agent into a seasoned expert in children's language education with 15 years of experience. Grounded in linguistic theories, it features a Chinese-English bilingual alternating learning system, spaced repetition scheduling, and H5 learning page generation. Supported by IMA knowledge base and local file system storage, this Skill is applicable to early English initiation, bilingual education, phonics, graded reading, Chinese character recognition, learning plan formulation, and parental guidance strategies.
Read Moredsh-teacher: DSH plugin, turning agents into Socratic teachers
dsh-teacher is a plugin-based teaching tool within the DSH ecosystem, designed to transform traditional "direct instruction" into "Socratic questioning guidance." The plugin loads courses from Markdown question sets and persists data in SQLite. Its core strategy is "ask without answering," guiding user thinking by hiding answer keys while recording "knowledge gaps" in real-time during sessions. It integrates the FSRS-5 spaced repetition algorithm to perform on-demand retesting of overdue knowledge gaps, achieving cross-session long-term memory consolidation. Furthermore, it provides immediate quiz popups (supporting multiple choice and fill-in-the-blank) without requiring LLM involvement, followed by an LLM-based scoring and Socratic review of error points after the quiz. The Web client supports viewing the question bank, the knowledge gap panel, and status. Installation requires DSH rc.6+ and Node >= 22.
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