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@jameskruck/claude-subagents

v1.0.0

Published

Specialized Claude Code subagents for Uplimit course creation: Course Outline Agent & Uplimit Storyboard Agent

Readme

Claude Code Subagents for Uplimit Course Creation

Two specialized Claude Code subagents to streamline the Outline → Storyboard → Build workflow for creating pedagogically-sound Uplimit courses.

🚀 Quick Start

npx @jameskruck/claude-subagents@latest --agent=all

Restart Claude Code, then use natural language:

  • "Help me create a course outline for my marketing course"
  • "Convert my Week 1 outline into an Uplimit storyboard"

📦 What's Included

1. Course Outline Agent

Creates robust, pedagogically-sound course outlines with:

  • Course Learning Outcomes (CLOs) using Bloom's taxonomy
  • Module Learning Outcomes (MLOs) supporting each CLO
  • Activities aligned to Bloom's levels
  • Assessments that authentically measure outcomes
  • UDL principles integrated throughout

Best for: Starting new courses, revising existing outlines for QM compliance, converting course proposals into structured outlines

2. Uplimit Storyboard Agent

Converts course outlines into detailed Uplimit build specifications:

  • Element selection based on Bloom's levels and UDL
  • Content specifications (exact text, settings, rationale)
  • Widget recommendations for interactive learning
  • Accessibility design (WCAG 2.2 AA built in, not retrofitted)
  • Content checklist (what needs to be created/sourced)

Best for: Converting outlines to Uplimit, designing interactive experiences, ensuring pedagogical alignment in platform builds

🎯 V3 Interactive-First Design

The Uplimit Storyboard Agent incorporates research-backed V3 Interactive-First principles:

  1. No text block over 150 words (1 minute reading max)
  2. Interactive widget every 2-3 elements (hands-on manipulation)
  3. "Show, Don't Tell": Replace explanations with discovery experiences
  4. Student agency: Let students control variables and explore outcomes
  5. Progressive complexity: Start simple (lists), build to complex (simulations)

Text Reduction Target: 60-70% less text than traditional readings by converting explanations into interactive explorations.

Example Transformation

Traditional (V1):

  • 3,500-word reading
  • 20 minutes passive
  • 5% active engagement

V3 Interactive-First:

  • 1,000 words across micro-readings
  • 8 min reading + 25 min widgets
  • 75% active engagement

📥 Installation

Option 1: Install Both Agents (Recommended)

npx @jameskruck/claude-subagents@latest --agent=all

Option 2: Install Individual Agents

# Course outline agent only
npx @jameskruck/claude-subagents@latest --agent=course-outline

# Storyboard agent only
npx @jameskruck/claude-subagents@latest --agent=uplimit-storyboard

Verify Installation

Check that agents are installed:

ls ~/.claude/agents/
# Should see: course-outline-agent.md, uplimit-storyboard-agent.md

Restart Claude Code to load the new agents.

💡 Usage Examples

Creating a Course Outline

You: "I want to create a 5-week MBA course on sports marketing.
The course should cover revenue models, sponsorship, athlete branding,
and emerging trends like betting and esports."

Agent: [Asks clarifying questions about audience, goals, key concepts]

Agent: [Creates structured outline with measurable CLOs and MLOs]

Agent: [Maps activities and assessments to each outcome]

Agent: [Provides complete outline ready for storyboarding]

Creating an Uplimit Storyboard

You: "Convert my Week 1 outline into an Uplimit storyboard. Students
need to understand 5 revenue streams in professional sports and analyze
trade-offs between them."

Agent: [Asks for CLOs, MLOs, activities, assessments]

Agent: [Recommends specific Uplimit elements with rationale]
  - Infobox for learning objectives
  - Text + Vertical List for revenue streams overview
  - iFrame widget for interactive portfolio building
  - Case study with Text Response assessment

Agent: [Provides detailed specifications for each element]
  - Exact content to type
  - Import instructions
  - Widget interaction designs
  - Rubric criteria

Agent: [Creates content checklist]
  - 3 text documents to prepare (with word counts)
  - 1 video to record (with transcript requirements)
  - 2 widgets to build (with specifications)

🎓 Complete Workflow

Step 1: Create Outline (2-3 hours)

"Help me create a course outline for [topic]"
→ Get: Complete outline with CLOs, MLOs, activities, assessments

Step 2: Validate Outline Review for:

  • Measurable outcomes (single action verbs)
  • Appropriate Bloom's levels (MBA = Analysis/Evaluation)
  • Realistic time commitments (9-12 hours/week)
  • UDL integration (multiple means of representation/engagement/expression)

Step 3: Create Storyboard (2-4 hours per module)

"Convert my Week 1 outline into an Uplimit storyboard"
→ Get: Detailed build specifications with element choices and rationale

Step 4: Prepare Content (varies) Use the content checklist from storyboard:

  • Write/import text documents
  • Record/source videos
  • Build/embed widgets
  • Create images/diagrams

Step 5: Build in Uplimit (4-6 hours per module) Follow your storyboard exactly:

  • Create structure (units, modules)
  • Import text content
  • Add visual elements
  • Embed interactive elements
  • Configure assessments

Step 6: Test & Launch (1-2 hours)

  • Walk through as student
  • Test all interactions
  • Verify accessibility
  • Get peer review

⚡ Benefits vs. Manual Process

Without Agents (Traditional)

  • ❌ 8-12 hours per module
  • ❌ Frequent rework due to misalignment
  • ❌ Vague outcomes that don't measure well
  • ❌ Accessibility retrofitted (often incomplete)
  • ❌ Inconsistent UDL application
  • ❌ Trial-and-error element selection

With Agents (Systematic)

  • ✅ 4-6 hours per module (40% faster)
  • ✅ Alignment verified before building
  • ✅ Measurable outcomes from the start
  • ✅ Accessibility designed in
  • ✅ Systematic UDL integration
  • ✅ Pedagogically-justified element choices

Time Saved per 5-Module Course: 20-30 hours

Quality Improvements:

  • Higher QM compliance (measurable outcomes, aligned assessments)
  • Better UDL implementation (intentional, not accidental)
  • Stronger accessibility (WCAG 2.2 AA by design)
  • Clearer pedagogical rationale (defendable choices)

📚 Educational Frameworks

Both agents apply:

  • Quality Matters (QM) Standards: Measurable outcomes, aligned assessments, clear objectives
  • Universal Design for Learning (UDL): Multiple means of representation, engagement, and expression
  • Bloom's Taxonomy: Appropriate cognitive levels for target audience
  • WCAG 2.2 AA: Accessibility by design, not retrofit

🔧 Troubleshooting

Agent Not Responding

  1. Verify installation: ls ~/.claude/agents/
  2. Restart Claude Code completely
  3. Reinstall: npx @jameskruck/claude-subagents@latest --agent=all

Wrong Agent Activated

Be explicit: "Use the Uplimit Storyboard Agent to convert this outline"

Agent Missing Context

Repeat key details (CLOs, MLOs, activities) explicitly in your message

📖 Documentation

For complete documentation, see:

🤝 Support

Questions? Ask Claude Code (it has all training materials)

Issues? Open issue at: https://github.com/jameskruck/claude-subagents/issues

Want to Contribute? Share your storyboards and patterns!

📄 License

MIT © James Kruck


Streamlining pedagogically-sound Uplimit course creation for Learning Experience Designers