Curriculum Design
SkillMediaHelps your agent turn a learning goal into a full curriculum design with lessons, sequencing, and an assessment plan.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Curriculum Design skill
About this skill
[omh] Team training or course that needs a syllabus: 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.
What this skill tells your AI
The instructions your AI receives, as published by rlaope/oh-my-hermes in agent-skills/omh-curriculum-design/SKILL.md and read by ahel’s review.
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-packageafter the curriculum is accepted. - The user asks to create or publish an LMS course, enroll students, grade work, or change course settings; use
connector-operatorwith 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, notcurriculum-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. Record actual tool results, or
not_observed / not_available, in the record; 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.
Reply in the user's own words and the host's own voice: OMH's record terms
(surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in
records and tool calls, never in the sentence the user reads unless they ask
about one; and when a stop condition or a decision the user owns ends the turn,
offer the next action as a question rather than declaring what will not be done.
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.
Signals
- GitHub stars
- 3k
- Forks
- 235
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
omh-curriculum-design- Source
- github.com/rlaope/oh-my-hermes