course-builder

name	course-builder
version	1.0.0
description	[Content] Use when you need to build structured learning/teaching course material with Bloom taxonomy objectives, modules, lessons, exercises, and assessments.

Quick Summary

Goal: Build structured course material with learning objectives, modules, lessons, exercises, and assessments.

Workflow:

1. Define scope — Target audience, prerequisites, duration, objectives
2. Map objectives — Align to Bloom's taxonomy
3. Structure curriculum — Modules → Lessons → Exercises → Assessments
4. Develop content — Per lesson: concept, explanation, examples, exercises
5. Create assessments — Knowledge checks + final assessment
6. Review pedagogy — Progressive difficulty, prerequisite chains

Key Rules:

• Every objective mapped to Bloom's taxonomy level
• Progressive complexity (each module builds on previous)
• Use enforced template from .claude/templates/course-outline-template.md

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Course Builder

Bloom's Taxonomy Reference

Level	Verb Examples	Assessment Type
Remember	Define, list, recall, identify	Multiple choice, fill-in-blank
Understand	Explain, describe, summarize, interpret	Short answer, paraphrase
Apply	Use, implement, solve, demonstrate	Problem sets, exercises
Analyze	Compare, contrast, examine, differentiate	Case studies, analysis papers
Evaluate	Judge, critique, assess, justify	Debates, reviews, peer assessment
Create	Design, construct, produce, develop	Projects, portfolios, presentations

Step 1: Define Learning Scope

Gather from user or research:

• Target audience — Who? What's their background?
• Prerequisites — What must they know already?
• Duration — Total hours/weeks available
• Desired outcomes — What can they DO after the course?

Step 2: Map Objectives to Bloom's

For each desired outcome, assign a Bloom's level:

• Start with lower levels (Remember, Understand)
• Progress to higher levels (Apply, Analyze, Evaluate, Create)
• Ensure at least one objective at Apply level or above

Step 3: Structure Curriculum

Organize into modules (3-8 per course):

• Each module has 2-5 lessons
• Each module has its own learning objectives
• Modules build on each other (prerequisite chain)

Step 4: Develop Lesson Content

For each lesson, provide:

1. Duration — Estimated time
2. Concept — Core idea in 1-2 sentences
3. Explanation — Theory, context, why it matters
4. Examples — 2-3 real-world illustrations
5. Exercise — Hands-on practice activity
6. Assessment — How to verify learning

Step 5: Create Assessments

Per module:

• Knowledge check — 3-5 questions covering key concepts
• Questions aligned to module's Bloom's level

Final:

• Comprehensive assessment — Covers all modules
• Mix of Bloom's levels — At least 1 question per level taught

Output

Write to docs/knowledge/courses/{descriptive-slug}.md using enforced template from .claude/templates/course-outline-template.md.

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[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting.

AI Mistake Prevention — Failure modes to avoid on every task:

Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.

MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.

Closing Reminders

• MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
• MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
• MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
• MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality

[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.