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:

Re-read files after context changes. Context compaction, resume, or long-running work can make memory stale; verify current files before acting. Verify generated content against source evidence. AI hallucinates APIs, names, claims, and document facts. Check the relevant source before documenting or referencing. Check downstream references before deleting or renaming. Removing an artifact can stale docs, generated mirrors, configs, and callers; map references first. Trace the full impact chain after edits. Changing a definition can miss derived outputs and consumers. Follow the affected chain before declaring done. Verify ALL affected outputs, not just the first. One green check is not all green checks; validate every output surface the change can affect. Assume existing values are intentional — ask WHY before changing. Before changing a constant, limit, flag, wording, or pattern, read nearby context and history. Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk. Keep shared guidance role-relevant. Universal guidance must help every receiving skill or agent; code-specific obligations belong only in code-specific protocols.

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 + sequential thinking — every claim needs appropriate traced evidence (file:line for repo/code claims; source URL or artifact section for research, product, content, and docs claims); confidence >80% to act, <60% DO NOT recommend. Anti-hallucination: never present guess as fact, admit uncertainty freely, cross-reference independently, stay skeptical of own confidence.

MUST ATTENTION apply AI mistake prevention — verify generated content against evidence, trace downstream references before deleting or renaming, verify all affected outputs, re-read files after context loss, and surface ambiguity before acting.

Closing Reminders

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

Protocols in force (concise digest of the SYNC/shared blocks this skill carries):

• AI Mistake Prevention: verify generated content against evidence, trace downstream references, verify all affected outputs, re-read after context loss, surface ambiguity.

• Critical Thinking: MUST ATTENTION critical + sequential thinking, traced proof, confidence >80% to act, never guess as fact.

• 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.