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Omh Curriculum Design

CommunityPopular
rlaope
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.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-curriculum-design
Stars
2.7K
Forks
194
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rlaope on GitHub. Read the source before you install it.

Installation

Install the Omh Curriculum Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-curriculum-design .claude/skills/omh-curriculum-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Curriculum Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Omh Curriculum Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Omh Curriculum Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Omh Curriculum Design AI skill do?

[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.

Why use Omh Curriculum Design on TypingMind?

Because you install it once and use it with any model. Omh Curriculum Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Omh Curriculum Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-curriculum-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Omh Curriculum Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Omh Curriculum Design?

As many as you like. As long as a model supports skills, you can use Omh Curriculum Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Omh Curriculum Design AI skill free?

Yes. It is published on GitHub by rlaope under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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