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Omh Docs

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rlaope
omh-docs

[omh] Current-source-first documentation for OMH itself: product identity, public capability catalog, model routing, local state, and long-term memory. Use when the user says: product-docs, OMH documentation, oh-my-hermes documentation, what is OMH, what is oh-my-hermes, how does OMH work, OMH capability catalog, OMH skill catalog.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-docs
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 Docs 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-docs .claude/skills/omh-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Docs 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 Docs 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 Docs 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.

Product Docs

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

Why This Exists

omh-docs gives Hermes one bounded, source-first way to explain OMH itself without turning product questions into generic workflow routing or silently changing the user's installation.

Do Not Use When

  • The user wants generic documentation writing, editing, or summarization unrelated to OMH.
  • The question is about OpenAI or Hermes Agent rather than OMH; use that product's official documentation skill.
  • The user wants setup or repair; route to doctor and stop before changing the machine unless separately authorized.
  • The user wants to install, update, remove, or edit catalog skills; route to skill and stop before mutation unless separately authorized.
  • The user wants model or provider settings changed; route to model-setup and stop before mutation unless separately authorized.

Examples

Good example:

  • Prompt: How does OMH model routing work, and which local settings can I inspect safely?
  • Expected behavior: Separate current public behavior from this installation, retrieve official sources plus passive local metadata, disclose refs or versions, and answer without changing settings.
  • Why: The request asks for current OMH self-knowledge and local-state explanation, not a configuration change.

Bad example:

  • Prompt: Rewrite my library's API documentation and publish it.
  • Expected behavior: Do not select omh-docs; this is generic documentation authoring plus an external mutation.
  • Why: The skill explains OMH itself and does not author or publish unrelated documentation.

Completion Checklist

  • Every mutable public claim cites an official current source and ref, version, or commit.
  • Local facts name the passive command, disclosed diagnostic, or metadata path and remain separate from public-product facts.
  • No prohibited secret, raw-log, or unrelated-content source was read or printed.
  • Any requested mutation was routed to a specialized workflow and not performed without separate authorization.

Recovery Notes

  • If official sources conflict, show the conflict with exact refs and lower confidence.
  • If network retrieval is unavailable, use a clean local checkout or installed package only with its commit or version and an explicit freshness caveat.
  • If a documented local path is absent, report that the install or profile does not expose it instead of treating absence as corruption.

Use When

Use for current, source-backed questions about OMH itself, including its product identity, public skill catalog, model routing, local installation state, and long-term memory.

Strong routing signals: `product-docs`, `OMH documentation`, `oh-my-hermes documentation`, `what is OMH`, `what is oh-my-hermes`, `how does OMH work`, `OMH capability catalog`, `OMH skill catalog`, `OMH model routing`, `OMH memory system`, `where does OMH store local state`

Catalog Metadata

Category: research Phase: product-documentation Quality tier: source-gated Reasoning demand: standard

Quality bar:

  • Classify each claim as public-product or current-local-install before retrieval.
  • Retrieve only the sources needed for the question and stop when the answer is supported.
  • Prefer live repository metadata and current main sources for mutable public facts; never answer a current-facts question from model recall.
  • Query the current catalog for skill counts instead of hard-coding a mutable number.
  • If official sources disagree or freshness cannot be established, name the exact source boundary instead of flattening the conflict.

Required inputs:

  • OMH documentation question
  • public-product or current-local-install scope
  • freshness, version, or ref requirement when material

Expected outputs:

  • source-backed answer
  • public-product and local-install facts kept separate
  • source URL or local command/path plus ref, version, or commit
  • named freshness or source-boundary gap

Artifact expectations:

  • one-shot answer by default; durable documentation artifact only when the user requests one

Safety rules:

  • Use official rlaope/oh-my-hermes sources for current public facts and disclose the source plus ref, version, or commit.
  • Use passive CLI output or narrowly scoped metadata for local-install facts; disclose diagnostic state writes and say that path presence varies by resolved home, scope, install, and profile.
  • Never read or print credentials, tokens, auth files, .env values, provider secrets, raw private logs, or unrelated user content.
  • Do not treat a local checkout or installed package as current public truth without recording its commit or version and disclosing possible staleness.
  • Do not mutate setup, installation, updates, settings, memory, routing, or repository files while answering a documentation question.

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 Docs AI skill do?

[omh] Current-source-first documentation for OMH itself: product identity, public capability catalog, model routing, local state, and long-term memory. Use when the user says: product-docs, OMH documentation, oh-my-hermes documentation, what is OMH, what is oh-my-hermes, how does OMH work, OMH capability catalog, OMH skill catalog.

Why use Omh Docs on TypingMind?

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

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

Which AI models can use Omh Docs?

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 Docs?

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

Is the Omh Docs 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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