Machine Learning Pipeline - Multi-Agent MLOps Orchestration
Design and implement a complete ML pipeline for: $ARGUMENTS
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Design and implement a complete ML pipeline for: $ARGUMENTS
Localize e-learning content. TRIGGERS - Use when user needs help with elearning-localization related tasks.
系统觉醒——短剧系统文风格的天赋技能树系统。根据宿主学习需求,自动搜索设计天赋技能树, 分阶段生成独立天赋Plugin文件。每个天赋包含3-6个技能Skill,每个Skill包含 YouTube/Bilibili/Google检索到的学习资料和视频。 双轨运行:学习模式(系统教学)与执行模式(技能代劳)。 触发词:「系统在吗」「系统觉醒」「我想学」「解锁天赋」「技能树」「学习技能」。
Design a structured lesson plan for any subject, audience, or format. Use when asked to write a lesson plan, course outline, teaching session, workshop curriculum, or training module. Produces a complete lesson plan with learning objectives, activities, timing, assessment, and differentiation gui...
Google Classroom: Manage classes, rosters, and coursework.
Convert raw course material into optimized, runnable MarkdownFlow
Create detailed storyboards for interactive digital learning content specifying narration, visuals, interactions, and navigation
Analyze learner data from LMS reports, assessments, and engagement metrics to identify patterns and inform instructional decisions
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
Conduct comprehensive learner audience analysis, identify performance gaps, and determine instructional requirements using surveys, interviews, and data analysis
Design instructional strategies that promote knowledge and skill transfer to real-world application contexts
Evaluate learning materials and technology for WCAG, Section 508, and accessibility compliance with remediation recommendations
Design and facilitate engaging professional development workshops using adult learning principles and active learning strategies
Apply Mayer's multimedia learning principles to design effective audio, video, graphics, and animations that reduce cognitive load
Conduct systematic quality reviews of instructional materials using established rubrics (Quality Matters) and design standards
Manages the limits of working memory — chunking, offloading, and reducing unnecessary complexity to free capacity for what matters. Use when asked 'this is too complex to hold in my head', 'I keep losing track of where I am', 'how do I make this simpler to think about', 'the design is overwhelmin...
EducateMe integration. Manage Courses, Users, Enrollments, Categories, Reviews. Use when the user wants to interact with EducateMe data.
Toolkit to map EdTech programs to academic standards, accreditation,
Practical advice for thriving in PhD programs and academic research
Learner and cohort analysis (学情分析) for university professors — cross-cutting support for design, builds, and the weekly loop. 4-agent team turning professor-held student data — ability lists, pre-course diagnostics, pre-lesson questionnaire results — into evidence-based teaching decisions: ungrad...
Builds assessment instruments for university professors — pipeline Stage 3. 7-agent team covering test blueprints, exam/quiz/question-bank item writing, rubric design (analytic/holistic/single-point), TILT project briefs, AI-era integrity auditing, verified answer keys with worked solutions, and ...
Classroom AI ethics — FERPA, COPPA, age-appropriate AI literacy framing, bias-discussion frameworks
Educational philosophy — learn by building inspectable things
Design bootcamp curricula with intensive learning paths. TRIGGERS - Use when user needs help with bootcamp-curriculum related tasks.
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