# Omh Curriculum Design

> [omh] Turn a learning goal into a teachable curriculum, assessment plan, and learner-ready sequence. Use when the user says: curriculum design, learning objectives, assessment plan, 커리큘럼 설계, 학습 목표, 평가 계획.

- Skill: `rlaope/omh-curriculum-design-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add rlaope/omh-curriculum-design-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rlaope/omh-curriculum-design-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rlaope (https://skillmd.com/u/rlaope)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/rlaope/omh-curriculum-design-2

---


# Curriculum Design

This is an OMH `curriculum-design` workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

## Why This Exists

`curriculum-design` makes outcomes, sequence, assessment, and constraints reviewable before materials or LMS work.

## Do Not Use When

- The user wants an explanation of a supplied academic paper rather than a teachable sequence; use `paper-learning`.
- The user needs a deck, workbook, PDF, or other exported learning artifact; route packaging to `materials-package` after the curriculum is accepted.
- The user asks to create or publish an LMS course, enroll students, grade work, or change course settings; use `connector-operator` with explicit authorization and observed evidence.
- The user needs only a short rewrite or one isolated worksheet prompt, not curriculum structure; use `content-operator`.

## Examples

Good example:

- Prompt: Design a six-week onboarding curriculum with learning objectives and practical assessments for new support agents.
- Expected behavior: Prepare learner constraints, scope and sequence, learning objectives, assessments, and adaptation questions.
- Why: The request needs a teachable sequence and assessment plan rather than an LMS course or exported material.

Bad example:

- Prompt: Explain the attached machine-learning paper for a beginner.
- Expected behavior: Route to `paper-learning`, not `curriculum-design`.
- Why: A supplied paper explanation is not a curriculum-design request.

## Completion Checklist

- The plan names goals, non-goals, assumptions, acceptance criteria, and verification shape.
- Draft recommendations, accepted decisions, and executor handoffs are separate states.
- Rejected options or unresolved tradeoffs are recorded before handoff.

## Recovery Notes

- If acceptance criteria or verification are missing, route back to clarification before handoff.
- If assumptions materially affect the plan, keep them visible and avoid treating the plan as accepted.



## Use When

Use when an educator or enablement owner needs outcomes, scope and sequence, lesson/module design, assessment criteria, and differentiation assumptions.

    Strong routing signals: `curriculum design`, `learning objectives`, `assessment plan`, `커리큘럼 설계`, `학습 목표`, `평가 계획`

## Catalog Metadata

Category: `planning`
Phase: `curriculum-design`
Quality tier: `planning-gated`
Reasoning demand: `standard`

Quality bar:

- Tie outcomes to scope, sequence, activities, assessments, and completion evidence.
- Keep instructional design distinct from exported materials or LMS actions.

Required inputs:

- learners
- learning goal
- prerequisites
- constraints

Expert clarification questions:
- `learners`
  - English: Which learner roles or ages and setting, baseline evidence, experience, motivations, language or culture, access needs, and relevant variability should shape the design?
  - Korean: 어떤 학습자 역할 또는 연령과 환경, 기초 수준 근거, 경험, 동기, 언어와 문화, 접근 요구, 관련 다양성이 설계에 반영되어야 하나요?

Expected outputs:

- curriculum_learner_outcome_brief/v1
- curriculum_alignment_map/v1
- curriculum_sequence_design/v1
- curriculum_validation_disposition/v1

Artifact expectations:

- prepared curriculum design brief when a wrapper captures it

Safety rules:

- Make learner prerequisites, accessibility, adaptation, and source-rights gaps explicit.
- Do not claim LMS mutation, enrollment, grading, certification, publication, or learning outcomes.

Procedure: load `references/procedure.md`.

## Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available;
otherwise run the same lanes sequentially or name the unavailable capability.
A prepared plan, handoff, checklist, or skill installation is not execution,
review, CI, merge-readiness, or merge evidence. Report actual tool results or
`not_observed` / `not_available`; never invent dispatch or host accounting.
Treat supplied context as advisory, not proof of hidden memory reads or writes.
State scope, constraints, verification, and the stop condition before work.
Supporting paths are relative to this skill directory; sibling skill paths are
relative to its parent. Resolve them from the host-provided skill base directory
(`{baseDir}` on hosts that provide it), never a hardcoded install location.
A named workflow not installed here is unavailable, not permission to emulate
its host-specific capabilities. Verify through the real surface before done.