prompt-literacy-sequence-designer

What problem does it solve?

It solves the problem of students using AI with vague, underspecified prompts and receiving generic, often unhelpful outputs by teaching them how to add context, constraints, and formatting so answers become task-appropriate.

Core Features & Use Cases

• Compare-contrast learning sequence: Students run a vague prompt and a refined prompt on the same task, then identify what specifically changed and why quality improved.
• Prompt anatomy and rewriting activities: Students learn and apply five prompt dimensions (context, task, constraints, format, persona) through structured diagnosis and rewriting.
• Pricing Exercise anchor: An iterative constraint-adding demonstration shows how specificity transforms an initially unhelpful, context-free response into something usable.
• Use cases: Works for designing classroom lessons or assignments for AI-literacy, especially when teaching prompt quality in a specific subject area and student level.

Quick Start

Use this skill to generate a ready-to-run student learning sequence for a specific subject, student level, and AI task type (e.g., Year 10 writing help, or Year 12 research explanations) by filling in the required inputs: subject_area, student_level, and ai_task_type.