---
name: Course Builder
slug: course-builder
category: AI Engineering
description: Course Builder produces an online course’s curriculum, lesson plans, quizzes, and hands-on labs through a coordinated agent workflow. Use it for course design tasks or for generating lessons, quizzes, or labs from an existing curriculum.
github: "https://github.com/revfactory/harness-100/tree/main/en/08-course-builder/.claude/skills/course-builder"
stars: 1224
forks: 427
install: "npx degit https://github.com/revfactory/harness-100/tree/main/en/08-course-builder/.claude/skills/course-builder ~/.claude/skills/course-builder"
installs_to: ~/.claude/skills/course-builder
source_path: en/08-course-builder/.claude/skills/course-builder/skill.md
collection_size: 51
category_size: 2451
collection_url: "https://dirskills.com/collections/revfactory/harness-100"
added: 2026-08-12T04:43:20.695Z
last_synced: 2026-08-12T04:43:20.695Z
canonical_url: "https://dirskills.com/skills/course-builder"
---

# Course Builder

Course Builder produces an online course’s curriculum, lesson plans, quizzes, and hands-on labs through a coordinated agent workflow. Use it for course design tasks or for generating lessons, quizzes, or labs from an existing curriculum.

**Install:**

```bash
npx degit https://github.com/revfactory/harness-100/tree/main/en/08-course-builder/.claude/skills/course-builder ~/.claude/skills/course-builder
```

## README

# Course Builder — Online Course Full Production Pipeline

Collaboratively produce an online course's curriculum, lesson plans, quizzes, and hands-on labs through an agent team, all in one pass.

## Execution Mode

**Agent Team** — Five agents communicate directly via SendMessage and cross-validate each other's work.

## Agent Roster

| Agent | File | Role | Type |
|-------|------|------|------|
| curriculum-designer | `.claude/agents/curriculum-designer.md` | Learning objectives, curriculum structure | general-purpose |
| content-writer | `.claude/agents/content-writer.md` | Lesson plans, slides, instructor notes | general-purpose |
| quiz-maker | `.claude/agents/quiz-maker.md` | Formative assessment, summative assessment, feedback | general-purpose |
| lab-designer | `.claude/agents/lab-designer.md` | Hands-on labs, projects, rubrics | general-purpose |
| course-reviewer | `.claude/agents/course-reviewer.md` | Learning objective alignment, coverage validation | general-purpose |

## Workflow

### Phase 1: Preparation (Performed Directly by the Orchestrator)

1. Extract from user input:
   - **Course Topic**: Subject/field the course covers
   - **Target Learner**: Beginner/Intermediate/Advanced, background knowledge
   - **Course Scale**: Total learning time, number of modules
   - **Lab Environment** (optional): Tools, languages, platforms to use
   - **Existing Files** (optional): Curriculum, lesson plans, etc.
2. Create the `_workspace/` directory at the project root
3. Organize input and save to `_workspace/00_input.md`
4. If existing files are available, copy to `_workspace/` and skip the corresponding phase
5. Determine execution mode based on scope

### Phase 2: Team Assembly and Execution

| Order | Task | Owner | Dependency | Deliverable |
|-------|------|-------|------------|-------------|
| 1 | Curriculum design | curriculum-designer | None | `_workspace/01_curriculum.md` |
| 2a | Lesson plan writing | content-writer | Task 1 | `_workspace/02_lesson_plans.md` |
| 2b | Quiz creation | quiz-maker | Task 1 | `_workspace/03_quizzes.md` |
| 2c | Lab design | lab-designer | Task 1 | `_workspace/04_labs.md` |
| 3 | Course review | course-reviewer | Tasks 2a, 2b, 2c | `_workspace/05_review_report.md` |

Tasks 2a (lessons), 2b (quizzes), and 2c (labs) run **in parallel**. All depend only on Task 1 (curriculum).

**Inter-agent communication flow:**
- curriculum-designer completes -> delivers per-lesson objectives and concepts to content-writer; Bloom's level ratios to quiz-maker; lab environment and scenarios to lab-designer
- content-writer completes -> delivers key concepts and examples to quiz-maker (as item material); lesson content to lab-designer (for lab alignment)
- course-reviewer cross-validates all deliverables. On RED Must Fix findings, sends revision requests -> rework -> re-validate (up to 2 cycles)

### Phase 3: Integration and Final Deliverables

1. Verify all files in `_workspace/`
2. Confirm all RED Must Fix items have been addressed
3. Report final summary to user

## Execution Modes by Scope

| User Request Pattern | Execution Mode | Agents Deployed |
|---------------------|---------------|----------------|
| "Create an online course," "full course design" | **Full Pipeline** | All 5 agents |
| "Just design the curriculum" | **Curriculum Mode** | curriculum-designer + reviewer |
| "Write lesson plans for this curriculum" (existing file) | **Lesson Plan Mode** | content-writer + reviewer |
| "Just create quizzes" | **Quiz Mode** | quiz-maker + reviewer |
| "Just design lab assignments" | **Lab Mode** | lab-designer + reviewer |

**Using Existing Files**: If the user provides a curriculum, lesson plans, etc., copy to `_workspace/` and skip the corresponding agent.

## Data Transfer Protocol

| Strategy | Method | Use Case |
|----------|--------|----------|
| File-based | `_workspace/` directory | Store and share major deliverables |
| Message-based | SendMessage | Real-time key information delivery, revision requests |
| Task-based | TaskCreate/TaskUpdate | Progress tracking, dependency management |

File naming convention: `{order_number}_{deliverable}.{extension}`

## Error Handling

| Error Type | Strategy |
|-----------|----------|
| Insufficient domain expertise | Supplement with web search; note "External verification recommended" in report |
| Lab environment unclear | Default to free cloud tools (Google Colab, etc.) |
| Agent failure | Retry once -> proceed without that deliverable; note in review report |
| RED found in review | Send revision request -> rework -> re-validate (up to 2 cycles) |
| Learning objective gap discovered | Request supplementary content from the relevant agent |

## Test Scenarios

### Normal Flow
**Prompt**: "Design a 10-hour online course for Python web development beginners, focused on the Flask framework."
**Expected Result**:
- Curriculum: 3-4 modules, 3-5 lessons each, Bloom's-based learning objectives
- Lesson plans: Per-lesson teaching flow, slide outlines, code examples
- Quizzes: Formative (3-5 items per lesson) + Summative (10 items per module)
- Labs: Per-lesson coding labs + Capstone project (simple web app)
- Review: Learning objective coverage matrix with full mapping

### Existing File Flow
**Prompt**: "Create quizzes and lab assignments from this curriculum" + attached curriculum file
**Expected Result**:
- Copy existing curriculum to `_workspace/01_curriculum.md`
- Combined quiz + lab mode: deploy quiz-maker + lab-designer + reviewer
- Skip curriculum-designer and content-writer

### Error Flow
**Prompt**: "Just design a quick curriculum on data analysis"
**Expected Result**:
- Switch to curriculum mode (curriculum-designer + reviewer)
- Target learner unclear; default to "beginner (non-specialist)" and note in report
- Review report notes "Lesson plans/quizzes/labs not generated"

## Agent Extension Skills

| Agent | Extension Skill | Knowledge Provided |
|-------|----------------|-------------------|
| curriculum-designer, content-writer | `/learning-design` | Bloom's Taxonomy, Backward Design, Gagne's 9 Events, Cognitive Load Theory |
| quiz-maker | `/assessment-engineering` | Item type design, distractor psychology, rubric construction, feedback formulas |
| lab-designer | `/lab-scaffolding` | 5-level pyramid, starter code design, capstone structure, hint systems |