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Omh Materials Package

CommunityPopular
rlaope
omh-materials-package

[omh] Hermes Materials Package workflow: decks, PDFs, spreadsheets, documents, HWP, Markdown, and binary export handoffs. Use when the user says: materials-package, material package, materials package, document package, deck file, binary export, file export, render qa.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-materials-package
Stars
2.7K
Forks
194
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Omh Materials Package 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-materials-package .claude/skills/omh-materials-package
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Materials Package 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 Materials Package 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 Materials Package 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.

Materials Package

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

Why This Exists

materials-package exists so Hermes can handle document, deck, spreadsheet, PDF, Word, Keynote, HWP, and Markdown work as a first-class material-processing workflow without becoming a hidden file generator.

Do Not Use When

  • The user only needs a weekly/monthly report outline; use report-package.
  • The user asks for recurring meeting minutes or scrum history; use operating-rhythm.
  • The request is code documentation, README, or project wiki maintenance; use the docs/wiki workflow.

Examples

Good example:

  • Prompt: materials-package 엑셀 매출 리포트를 PDF로 공유할 수 있게 준비해줘.
  • Expected behavior: Create a material plan with xlsx/pdf target formats, source inputs, missing metrics, QA checks, and a generation handoff boundary.
  • Why: The request is about material processing and binary export evidence, not just a text report outline.

Bad example:

  • Prompt: materials-package prove the PDF was sent to leadership.
  • Expected behavior: Ask for observed delivery evidence or record the delivery as not_observed instead of claiming it happened.
  • Why: A prepared material artifact cannot prove export, approval, or delivery.

Completion Checklist

  • The material source, target format, audience, structure, and QA expectation are named.
  • Binary export, rendering, formula recalculation, attachment, and delivery stay observed-only.
  • The next action identifies whether the package is planned, generated, QA-ready, or blocked.

Recovery Notes

  • If a renderer or file tool is missing, keep the package prepared and expose the generation handoff.
  • If render QA is unavailable, mark the artifact unverified and request the smallest visual/file check.

Use When

Use when Hermes should turn source inputs into a material plan for decks, PDFs, Word/documents, spreadsheets, HWP, Markdown, office-file summaries, comparisons, table extraction plans, or binary export handoff without claiming file generation.

Strong routing signals: `materials-package`, `material package`, `materials package`, `document package`, `deck file`, `binary export`, `file export`, `render qa`, `layout qa`, `ppt and pdf`, `pdf and ppt`, `ppt/pdf`, `pdf/ppt`, `spreadsheet to pdf`, `excel to pdf`, `monthly report pdf`, `attached spreadsheet`, `word document`, `word doc`, `document action items`, `compare pdfs`, `pdf differences`, `extract tables from pdf`, `pdf to csv`, `spreadsheet analysis brief`, `clean analysis brief`, `pdf`, `pptx`, `keynote`, `keynote deck`, `docx`, `xlsx`, `csv report`, `spreadsheet`, `excel`, `hwp`, `korean hwp`, `proposal document`, `PDF`, `HWP`, `첨부한 엑셀`, `첨부한 워드`, `워드 문서`, `PDF 두 개 비교`, `PDF 표를 CSV`, `PDF 표 추출`, `분석 브리프`, `엑셀을 월간 보고서`, `자료 패키지`, `자료 처리`, `자료 생성`, `문서 패키지`, `문서 생성`, `제안서 문서`, `엑셀`, `스프레드시트`, `피디에프`, `한글 문서`, `키노트`, `파일 export`, `파일 생성`, `렌더 QA`, `PDF랑 PPT`, `PPT랑 PDF`, `PDF와 PPT`, `PPT와 PDF`, `PDF랑 PPT로`

Catalog Metadata

Category: materials Phase: material-plan Quality tier: material-gated Reasoning demand: standard

Quality bar:

  • Name audience, source inputs, requested extraction/comparison task, target formats, outline sections, assumptions, missing inputs, and output owner.
  • Attach format-specific QA expectations before preparing a binary-generation handoff.
  • Record binary export, render QA, formula checks, approvals, and delivery only from observed evidence.

Required inputs:

  • audience or recipient
  • source inputs
  • target format(s)
  • deadline or delivery context
  • missing data or assumptions

Expected outputs:

  • material_artifact/v1 plan
  • format-specific QA ladder
  • executor-neutral generation handoff when needed
  • observed export boundary

Artifact expectations:

  • material_artifact/v1 under .omh/materials when a wrapper or CLI records it

Safety rules:

  • Do not claim PPTX, PDF, Keynote, DOCX, XLSX, HWP, or upload output without observed file evidence.
  • Do not claim render QA, formula recalculation, approval, or delivery from a prepared material plan.
  • Keep source facts, assumptions, missing inputs, and generated output evidence separate.

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.

Frequently asked questions

What does the Omh Materials Package AI skill do?

[omh] Hermes Materials Package workflow: decks, PDFs, spreadsheets, documents, HWP, Markdown, and binary export handoffs. Use when the user says: materials-package, material package, materials package, document package, deck file, binary export, file export, render qa.

Why use Omh Materials Package on TypingMind?

Because you install it once and use it with any model. Omh Materials Package 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 Materials Package in TypingMind?

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

Which AI models can use Omh Materials Package?

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 Materials Package?

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

Is the Omh Materials Package 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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