course-builder

Codex compatibility note:

• Invoke $skill-name: load the registered .agents/skills/<name>/SKILL.md and execute it with Codex tools; no separate Skill tool or Claude mode switch is needed. Author .claude/**; mirrors are generated.
• Track steps before execution and keep progress/evidence current. Explicit skill requests execute their protocol. Use the native question tool for required questions.
• Map foreign tool names to available host capabilities. A name mismatch needs no approval; an actually unavailable required capability stops with its step/evidence and a user question before adaptation.
• Subagent authorization: when a skill is user-invoked or AI-detected and its protocol requires subagents, that skill activation authorizes use of the required spawn_agent subagent(s) for that task.
• Preserve protocol order unless the user approves a deviation. Workflows use $start-workflow: gates stay fixed; other steps may flex with logged reasons and evidence.

Quick Summary

Goal: Build a learner-ready course with Bloom-aligned objectives, progressive modules, lessons, practice, and assessments so learners achieve and demonstrate intended outcomes.

Summary:

• Purpose: Turn user/research scope into a template-compliant course with aligned outcomes, practice, and assessments.
• Main flow: Phase 0 detect course context; (1) define audience, prerequisites, duration, outcomes; (2) map objectives to Bloom; (3) structure modules → lessons → exercises → assessments.
• Continue: (4) develop each lesson's duration, concept, explanation, examples, exercise, assessment; (5) create module knowledge checks + comprehensive final; (6) review alignment, evidence, progression, prerequisites.
• Gates/output: Create todo tracking tasks before work; map every objective to Bloom; cite every factual claim inline [N]; use the enforced template; write docs/knowledge/courses/{descriptive-slug}.md; no modes/flags specified.

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, exercise
5. Create assessments — Knowledge checks + final assessment
6. Review pedagogy — Alignment, progressive difficulty, prerequisite chains

Key Rules:

• Every objective maps to a Bloom's taxonomy level; include at least one Apply-level objective.
• Build progressive complexity; each module builds on previous prerequisites.
• Derive lesson depth, examples, exercises, and assessment format from learner context and objectives; do not fill templates mechanically.
• Use enforced template .claude/templates/course-outline-template.md.
• Every factual claim and number in the content ends with an inline [N] citation mapped to a Resources & References row (Title, URL, Author/Org, Date, Tier). Factual claims rest on 2+ independent sources; a single-source claim is marked unverified and held below 60% confidence. Exercises, assessment items and constructed examples are course design, not factual claims.

Critical thinking: Be skeptical; reason sequentially; trace evidence for every claim; state confidence percentages; ideas >80%.