Smart Home IOT Course Builder

Hep me create a Smart Home and IOT cours for electronic Technicians

First, pre-entered info...

final-output2

The final output could be a single PDF file that provides a complete "Smart Home and IoT" course for electronic technicians. This PDF would include an overview of the course modules, written lessons, diagrams, simple code snippets if needed, and embedded instructions for labs and assessments.

subagents-extracted2

OVERVIEW OF SUBAGENTS Each subagent focuses on creating specific components that will be combined into the final course PDF: - Outline Builder: Researches and creates the course structure - Lesson Author: Writes detailed lesson content - Practical Exercise Designer: Creates lab instructions with diagrams - Assessment Creator: Develops quizzes and hands-on tasks - Reference Curator: Compiles relevant resources and references - Final Assembler: Combines all components into the PDF ──────────────────────────────────────────────────────── SUBAGENT 1 – OUTLINE BUILDER FINAL OUTPUT: "course_outline.txt" (or JSON) SKILLS USED: • #216 - Research Topic (Or Keyword) Deeply - Research sample course structures, topics, and pacing for IoT/Smart Home. • #223 - Powerful LLM Prompt-to-Text Response - Generate a concise, structured outline (modules, objectives, recommended hours) based on the research. PROCESS SEQUENCE: 1. Use #216 with keywords like "Smart Home IoT Course Outline for Electronics Technicians." 2. Feed the resulting research into #223 to create and finalize a structured outline. 3. Save as "course_outline.txt" (or JSON). SUBAGENT FINAL OUTPUT: [course-outline] ──────────────────────────────────────────────────────── SUBAGENT 2 – LESSON AUTHOR FINAL OUTPUT: "lesson_content.md" (or HTML) SKILLS USED: • #216 - Research Topic (Or Keyword) Deeply - Gather detailed info on IoT fundamentals, communication protocols, hardware basics, etc. • #223 - Powerful LLM Prompt-to-Text Response - Draft organized lessons (theoretical coverage, examples, safety tips). PROCESS SEQUENCE: 1. Use #216 to research each lesson topic deeply. 2. Use #223 to convert research into structured text chapters or lessons in Markdown or HTML. 3. Consolidate all chapters into "lesson_content.md" (or .html). SUBAGENT FINAL OUTPUT: [lesson-content] ──────────────────────────────────────────────────────── SUBAGENT 3 – PRACTICAL EXERCISE DESIGNER FINAL OUTPUT: "practical_exercises.txt" (plus image URLs) SKILLS USED: • #223 - Powerful LLM Prompt-to-Text Response - Generate step-by-step instructions and code snippets for each lab. • #222 - Make Image (Especially With Text) - Create wiring diagrams or circuit layouts as needed. PROCESS SEQUENCE: 1. Use #223 to write lab instructions (tools, safety, step-by-step tasks, code hints). 2. For each lab requiring a diagram, call #222 with a prompt like "Create a wiring diagram for [sensor] on [microcontroller]." 3. Reference the generated image URLs in "practical_exercises.txt." SUBAGENT FINAL OUTPUT: [practical-exercises] ──────────────────────────────────────────────────────── SUBAGENT 4 – ASSESSMENT CREATOR FINAL OUTPUT: "assessment_materials.txt" (or PDF) SKILLS USED: • #223 - Powerful LLM Prompt-to-Text Response - Draft multiple-choice questions, short-answer prompts, and hands-on tasks. PROCESS SEQUENCE: 1. Summarize course content from the outline and lessons. 2. Use #223 to generate quiz questions per module and hands-on projects. 3. Compile them into "assessment_materials.txt" (optionally converted to PDF later). SUBAGENT FINAL OUTPUT: [assessment-materials] ──────────────────────────────────────────────────────── SUBAGENT 5 – REFERENCE CURATOR FINAL OUTPUT: "references_list.txt" (or JSON) SKILLS USED: • #216 - Research Topic (Or Keyword) Deeply - Find official documentation, data sheets, protocols, or recommended websites. • #223 - Powerful LLM Prompt-to-Text Response - Format those references into a concise list with brief descriptions. PROCESS SEQUENCE: 1. Use #216 with prompts like "Search for relevant IoT sensor datasheets, official protocol docs." 2. Use #223 to organize them into a neat references list (URLs plus short descriptions). SUBAGENT FINAL OUTPUT: [references-list] ──────────────────────────────────────────────────────── SUBAGENT 6 – FINAL ASSEMBLER (PDF CREATION) FINAL OUTPUT: "smart_home_iot_course.pdf" SKILLS USED: • #190 - Write or rewrite text based on instructions (OR "REQUIRED" external PDF library) - Consolidate all text (outline, lessons, labs, assessments, references) into one final PDF file. PROCESS SEQUENCE: 1. Gather outputs from all subagents (outline, lessons, exercises, assessments, references). 2. Use #190 to merge them into a single cohesive document. 3. An external PDF creation step may be required (if no direct PDF skill is available). 4. Final output: "smart_home_iot_course.pdf." SUBAGENT FINAL OUTPUT: [smart-home-iot-course-pdf]

subagentnumber

[subagentnumber]

Then, agent response...

subagent1refined-new-json-core

G) TASKFLOW SUMMARY Based on the subagent description, here are the two main skills used in the workflow: Skill 1: - ID: #216 - Title task: Research Smart Home IoT Course Structure and Content - Description: Performs deep research on existing IoT/Smart Home courses, gathering information about typical module structures, learning outcomes, time allocation, and technical requirements for electronics technicians - Input(s) involved: [search-keywords], [target-audience], [course-duration] - Output token name: [research-findings] Skill 2: - ID: #223 - Title task: Generate Structured Course Outline from Research - Description: Takes research findings and converts them into a formal course outline with defined modules, learning objectives, time allocations, and prerequisites, formatted for electronics technicians - Input(s) involved: [research-findings], [outline-format-requirements] - Output token name: [course-outline] Optional Refinement Skill: - ID: #223 (same skill, different application) - Title task: Refine and Adjust Course Outline Based on Feedback - Description: Modifies the existing course outline to incorporate specific adjustments, such as rebalancing module durations or adding more practical components - Input(s) involved: [course-outline], [revision-requirements] - Output token name: [refined-course-outline] The complete flow sequence is: [search-keywords] → #216 → [research-findings] → #223 → [course-outline] → (#223 optional refinement) → [refined-course-outline] → final output file This taskflow represents all the core skills needed by Subagent 1 (Outline Builder) to create the structured course outline document.

subagent1mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> graph TD A[Start: Course Outline Creation] --> B[Initialize Research Phase] B --> C[Skill #216: Research] C --> |search-keywords| D[Query IoT Course Examples] C --> |target-audience| E[Research Tech Requirements] C --> |course-duration| F[Study Time Allocations] D --> G[Collate Research Findings] E --> G F --> G G --> |research-findings| H[Skill #223: Generate Outline] H --> I[Create Initial Course Structure] I --> J[Define Learning Objectives] J --> K[Set Module Durations] K --> L{Needs Refinement?} L --> |Yes| M[Skill #223: Refine] L --> |No| N[Save Final Output] M --> |revision-requirements| O[Adjust Content] O --> |refined-course-outline| P[Update Structure] P --> N N --> Q[Generate course_outline.txt] Q --> R[End: Course Outline Complete] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>

Mermaid Image - https://static.aiz.ac/1735912054-mermaid/mermaid1.png

prompts-required

[prompts-required]

subagent1-json-array

[ { "taskID": 216, "semanticTitleOfTask": "Research Smart Home IoT Course Structure and Content", "taskDescription": "This task performs deep research on typical IoT/Smart Home course structures for electronics technicians, gathering information about modules, durations, prerequisites, and industry protocols.", "inputDescription": "Requires keywords, target audience, and approximate course duration, e.g. 'Smart Home IoT Course Outline for Electronics Technicians, 12-15 hours.'", "inputRequired": ["search-keywords", "target-audience", "course-duration"], "outputDescription": "Delivers a structured summary of course research, including standard modules, typical time allocations, common prerequisites, and essential topic sequences.", "outputName": "research-findings", "promptInstruction": "Act as an educational research specialist focused on electronics and IoT training. Conduct a thorough analysis of Smart Home and IoT course structures suitable for electronics technicians. Include standard course modules, typical durations, prerequisites, practical components, protocols, and recommended topic progression relevant to electronics professionals." }, { "taskID": 223, "semanticTitleOfTask": "Generate Structured Course Outline from Research", "taskDescription": "This task uses the collected research findings to create a formal course outline, specifying modules, objectives, time allocations, and any relevant prerequisites.", "inputDescription": "Requires the research findings from the previous task, containing recommended modules, durations, and key topic sequences.", "inputRequired": ["research-findings"], "outputDescription": "Produces a comprehensive course outline in hierarchical format suitable for electronics technicians, showing modules, objectives, subtopics, and suggested hands-on activities.", "outputName": "course-outline", "promptInstruction": "Act as an instructional designer specializing in technical education. Using the provided research findings, create a detailed Smart Home and IoT course outline for electronics technicians. Include course overview, objectives, prerequisites, module breakdown, learning objectives, time allocations, key subtopics, and suggested hands-on activities. Ensure the outline is suitably structured for a syllabus." }, { "taskID": 223, "semanticTitleOfTask": "Refine and Adjust Course Outline Based on Feedback", "taskDescription": "An optional task that updates the existing course outline according to user or SME feedback, adjusting durations, practical coverage, and topic progression.", "inputDescription": "Requires the previously generated course outline and a list of specific revision requirements (e.g., shift module timings, add more practical exercises).", "inputRequired": ["course-outline", "revision-requirements"], "outputDescription": "Returns a refined version of the course outline that incorporates all requested modifications while preserving overall structure and focus.", "outputName": "refined-course-outline", "promptInstruction": "Act as a curriculum optimization specialist. Review the existing course outline and implement the specified improvements while preserving the overall structure. Adjust time allocations, enhance hands-on components, ensure essential Smart Home and IoT concepts remain in sequence, and confirm suitability for electronics technicians." } ]

subagent1-json-array-mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> flowchart TD id1[Start Outline Builder] --> id2[Input Course Requirements] id2 --> id3[Research Phase - Task #216] id3 --> |Keywords + Parameters| id4[Deep Research on IoT Course Structures] id4 --> |research-findings| id5[Generation Phase - Task #223] id5 --> |Generate Initial Outline| id6[Create Structured Course Content] id6 --> id7{Refinement Needed?} id7 --> |Yes| id8[Refinement Phase - Task #223] id8 --> |revision-requirements| id9[Adjust & Update Outline] id9 --> id10[Generate Final Output] id7 --> |No| id10 id10 --> id11[Save course_outline.txt/json] id11 --> id12[End Outline Builder] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>