K2F Exam Paper — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint an exam paper before layout: syllabus-faithful scope, stable format fingerprints, fair point weighting, and prompts students can parse under clock pressure—not study sheets, predicted questions, or item banks pasted without editorial structure.

Built on K2F

This skill produces exam papers as .K2F packages. Follow the k2f skill for authoring: unpack or init a workspace, edit the semantic tree, run pack/verify, then export. K2F keeps agents on meaning (sections, items, stimuli, response roles)—not pixel coordinates—while the engine compiles layout, typography, and theme.

Before you build, install the core skill: npx skills add suzheng/k2f --skill k2f.

When to Use

• An instructor or instructional designer needs a deliverable exam document (in-class, take-home, or hybrid).
• Inputs include syllabus topics, mark weightings, learning outcomes, approved readings, or past exams to match style—not when the user only wants study notes or “what might be on the exam.”
• Distinct from k2f-worksheet (low-stakes practice) and k2f-lesson-plan (teaching sequence).

Workflow