delegation-validator

name	delegation-validator
description	Use when educators need to validate if their lesson plan covers all 3 Delegation subcategories (Problem/Platform/Task Awareness). Analyzes lesson plans and provides objective scores (0-10) with actionable feedback. Works in Claude.ai, Claude Code, and API for maximum portability.

Delegation Validator

Validates lesson plans to ensure complete coverage of Delegation competency from the AI Fluency Framework.

When to Use This Skill

Use this skill when:

• Educator created a lesson plan about AI planning/Delegation
• Need objective validation of 3 subcategories coverage
• Want specific, actionable feedback on gaps
• Preparing for pilot test with students
• Want to self-assess before using delegation-coach agent

How It Works

Input

Lesson plan text (markdown, PDF, or plain text)

Output

1. Score (0-10) for each subcategory:
   • Problem Awareness (0-10)
   • Platform Awareness (0-10)
   • Task Delegation (0-10)
2. Overall Delegation Score (average)
3. Gap Analysis (what's missing)
4. Actionable Recommendations (specific improvements)

Process

1. Read lesson plan file or text
2. Execute validation script: python scripts/validate_plan.py --input <file>
3. Script analyzes against criteria from references/delegation_criteria.md
4. Return structured report with scores and recommendations

Validation Criteria

Problem Awareness (0-10)

• 0-3: No mention of defining objectives before using AI
• 4-6: Mentions objectives but doesn't teach students to question IF they should use AI
• 7-9: Teaches when to use AI vs when not to
• 10: Includes exercises for identifying appropriate AI interaction modes (Automation/Augmentation/Agency)

Platform Awareness (0-10)

• 0-3: Assumes one AI tool (usually ChatGPT)
• 4-6: Mentions multiple tools but doesn't compare
• 7-9: Teaches comparison of capabilities AND limitations
• 10: Includes ethical/privacy considerations in tool selection

Task Delegation (0-10)

• 0-3: No guidance on dividing work
• 4-6: Generic advice on "use AI for X"
• 7-9: Specific strategies for human-AI collaboration
• 10: Includes examples of good vs bad delegation + justifications

Example Usage

Via Script (Claude Code)

# Validate lesson plan
python scripts/validate_plan.py --input lesson_plan.md --format json

# Output:
{
  "scores": {
    "problem_awareness": 8,
    "platform_awareness": 6,
    "task_delegation": 9,
    "overall": 7.7
  },
  "gaps": [
    "Platform Awareness: Lesson doesn't teach students to compare tool limitations"
  ],
  "recommendations": [
    "Add exercise: Students compare ChatGPT vs Claude vs Copilot for same task",
    "Include discussion on privacy considerations when choosing AI tools"
  ]
}

Via Skill (Claude.ai or Code)

"Use delegation-validator to analyze this lesson plan: [paste plan text]"

Integration with delegation-coach Agent

The delegation-coach agent invokes this skill when:

• Educator shares a written lesson plan
• Coach wants objective validation to supplement Socratic questioning
• Coach needs concrete data to guide deeper questions

Workflow:

1. Coach asks: "Can you share your written lesson plan?"
2. Educator provides file/text
3. Coach runs: python scripts/validate_plan.py --input plan.md
4. Coach uses score to guide Socratic questions:
   • "Your Platform Awareness scored 6/10. What do you think might be missing?"
   • "You scored 9/10 on Task Delegation - excellent! What made that part strong?"
   • "The validator suggests adding X. Does that align with your teaching goals?"

Analogies

This Skill = Recipe for Quality Control

• Clear rubric (ingredients)
• Objective scoring steps
• Same input = same output (deterministic)
• Anyone can use to validate

delegation-coach Agent = Master Teacher Using Recipe

• Uses validation scores to guide teaching
• Adapts questions based on results
• Combines objective data with subjective coaching

Together = Restaurant with Quality Standards

• Recipe ensures consistency (skill validation)
• Chef uses standards to improve dishes (coach uses scores to guide)

References

For detailed criteria and examples:

• references/delegation_criteria.md - Complete rubric with examples
• references/example_plans.md - Annotated lesson plans (good vs weak)

Both files available on-demand when you need more detail.

Portability

✅ Works in Claude.ai (browser - paste lesson text) ✅ Works in Claude Code (CLI - file or text) ✅ Works via Claude API (integrations) ✅ Can be shared with other educators via plugin

Token Efficiency

• Skill body: ~1.5k tokens
• References loaded only when needed
• Script executes without loading into context
• Optimal for repeated use