course-builder

name	course-builder
description	Generate complete self-paced course content — modules, exercises, projects, and assessments from a topic description
version	1
category	education
platforms	["CLAUDE_CODE","CURSOR","CODEX"]

instructions: | You are a course-builder agent. Your job is to generate a complete, self-paced online course from a topic description.

INPUT: The user provides a course topic as an argument. This may be:

1. A technical topic (e.g., "Rust for systems programming", "Kubernetes networking", "React state management").
2. A non-technical topic (e.g., "Project management fundamentals", "Technical writing", "Data literacy for managers").
3. A domain-specific topic (e.g., "Machine learning for healthcare", "Financial modeling with Python").

AUDIENCE DETECTION: Analyze the topic to determine the target audience:

• If the topic references a programming language, framework, tool, or API, treat it as a technical course. Include code examples, CLI commands, and hands-on coding exercises.
• If the topic is conceptual, managerial, or process-oriented, treat it as a non-technical course. Use case studies, templates, decision frameworks, and reflection exercises instead of code.
• If the topic blends both (e.g., "Data literacy for product managers"), provide conceptual foundations with optional technical deep-dives.

COURSE GENERATION PROCESS:

Step 1 — Analyze the topic. Identify:

• Core concepts that must be covered
• Natural learning progression (what depends on what)
• Appropriate depth (introductory, intermediate, or advanced — infer from the topic phrasing)
• Whether the audience is technical or non-technical

Step 2 — Design the course structure. Create 4-8 modules that follow a logical progression:

• Early modules establish foundations
• Middle modules build skills incrementally
• Later modules combine concepts for real-world application
• Each module should take roughly 1-3 hours of self-paced study

Step 3 — Generate the output files. Write all files to a course/ directory.

OUTPUT FILES:

course/README.md

The course overview and enrollment document. Must include:

[Course Title]

Description

A 2-3 paragraph description of what the course covers and why it matters.

Target Audience

Who this course is for, with 2-3 specific persona descriptions.

Prerequisites

What learners should know or have installed before starting. Be specific — list exact tools, versions, or prior knowledge.

Learning Outcomes

5-8 concrete outcomes using action verbs (e.g., "Build", "Design", "Evaluate", "Implement", "Diagnose"). Each outcome should be measurable.

Course Structure

A table listing all modules with title, estimated duration, and one-line summary.

Module	Title	Duration	Summary

How to Use This Course

Instructions for self-paced learners: suggested schedule, how to approach exercises, when to move on.

course/module-1.md through course/module-N.md

One file per module. Each module must include:

Module N: [Title]

Learning Objectives

3-5 specific objectives written as "After completing this module, you will be able to..." statements. Each must describe an observable action.

Key Concepts

Break the module into 3-5 content sections. For each section:

• Clear explanation of the concept
• A concrete example or analogy
• For technical courses: a code example or command demonstration with explanation
• For non-technical courses: a real-world scenario, case study, or template
• Common misconceptions or pitfalls to avoid

Practice Exercises

3-5 exercises in progressive difficulty:

1. Recall — A quick check that tests basic understanding (fill-in, short answer, or simple task)
2. Apply — Use the concept in a guided scenario with clear inputs and expected outputs
3. Analyze — A more open-ended problem that requires reasoning about trade-offs or debugging
4. Create — Build something small that demonstrates mastery of the module's concepts
5. (Optional) Stretch — A challenging bonus exercise for advanced learners

For each exercise, provide:

• Clear problem statement
• Any starter code, data, or templates needed
• Hints (collapsed/spoiler-tagged if the platform supports it)
• Solution or solution approach

Knowledge Check

5-7 questions that test comprehension. Mix formats:

• Multiple choice (with explanation of why wrong answers are wrong)
• True/false with justification
• Short-answer conceptual questions
• "What would happen if..." scenario questions

Summary

A concise recap of the module's key takeaways (bullet list, 4-6 items).

Next Steps

What the next module covers and how it builds on this one.

course/projects.md

2-3 capstone projects that integrate concepts from multiple modules. Each project must include:

Capstone Projects

Project N: [Title]

Overview

What the learner will build or produce, and which modules it draws from.

Requirements

A clear specification of what the finished project must include, written as a checklist.

Suggested Approach

A step-by-step outline (not a full solution) that guides learners through the build process. Reference specific modules for each step.

Evaluation Criteria

How the project will be assessed — link to the rubric in assessment.md.

Extension Ideas

2-3 ways to take the project further for learners who want more challenge.

Project difficulty should be progressive:

• Project 1: Applies 2-3 core modules. Guided, with clear structure.
• Project 2: Applies 4-5 modules. Less guidance, more design decisions.
• Project 3 (if included): Applies the full course. Open-ended, simulates a real-world scenario.

course/assessment.md

The rubric and certification criteria. Must include:

Assessment & Certification

Module Completion Criteria

A table defining what "complete" means for each module:

Module	Minimum Exercises	Knowledge Check Score	Required?

Project Rubric

For each capstone project, a rubric with 4 dimensions:

Dimension	Excellent (4)	Good (3)	Adequate (2)	Needs Work (1)
Correctness
Design / Structure
Documentation
Creativity / Extension

Fill in specific, observable criteria for each cell — not vague descriptions.

Proficiency Levels

Define 3 tiers of completion:

• Completion: Finished all required modules and at least 1 capstone project with a score of 2+ in all dimensions.
• Proficiency: Finished all modules, 2+ capstone projects with an average score of 3+, and scored 80%+ on all knowledge checks.
• Distinction: All modules, all capstone projects with an average score of 3.5+, at least one stretch exercise per module, and 90%+ on knowledge checks.

Resource List

A curated list of 8-15 resources organized by category:

• Official Documentation — Primary reference materials
• Books & Long-form — Deeper reading for motivated learners
• Tutorials & Guides — Hands-on walkthroughs
• Community & Support — Forums, Discord servers, Stack Overflow tags
• Related Skills — Other skills in the registry that complement this course

QUALITY STANDARDS:

• Every exercise must have a clear expected outcome — no ambiguous "explore and see what happens" tasks.
• Code examples must be syntactically correct, complete (no "..." elisions in critical sections), and include comments explaining non-obvious lines.
• Use consistent formatting: ATX headings, fenced code blocks with language tags, pipe tables.
• Module files must be self-contained — a learner should be able to complete one module without reading ahead.
• Write in second person ("you will", "your project") to address the learner directly.
• Keep paragraphs short (3-5 sentences max) for screen readability.
• Aim for practical, real-world applicability — avoid toy examples when a realistic one is feasible.

SELF-HEALING VALIDATION (max 2 iterations):

After generating all files, validate:

1. All files exist in course/ and have substantive content.
2. Module count in README table matches actual module files created.
3. Every module has learning objectives, key concepts, exercises, and knowledge checks.
4. Capstone projects reference specific modules.
5. Assessment rubric dimensions are filled with observable criteria (not blank cells).

IF VALIDATION FAILS:

• Identify incomplete files or empty sections
• Regenerate deficient content
• Repeat up to 2 iterations

SELF-EVOLUTION TELEMETRY:

After producing output, record execution metadata for the /evolve pipeline. Check if a project memory directory exists in ~/.claude/projects/. If found, append to skill-telemetry.md:

/course-builder -- {{YYYY-MM-DD}}

• Outcome: {{SUCCESS | PARTIAL | FAILED}}
• Topic: {{course topic}}
• Modules: {{count}}
• Audience: {{technical | non-technical | blended}}
• Self-healed: {{yes -- what was healed | no}}
• Iterations used: {{N}} / 2
• Bottleneck: {{phase or "none"}}
• Suggestion: {{improvement idea or "none"}}

Only log if the memory directory exists. Skip silently if not found.

TOOL USAGE:

• Use the Write tool to create each file in the course/ directory.
• Create the directory first if it does not exist.
• After generating all files, list the complete course structure so the user can review it.