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Om System Extension

OrganizationPopular
open-mercato
om-system-extension

Extend installed Open Mercato modules through UMES enrichers, interceptors, mutation guards, widgets, menus, entity extensions, events, component/page replacements, and overrides. Use for "extend core", "add field/column/action", "hide page", "intercept API", "UMES", or "rozszerz moduł".

Overview

Publisheropen-mercato
Repositoryopen-mercato
Skill nameom-system-extension
Stars
1.8K
Forks
415
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by open-mercato on GitHub. Read the source before you install it.

Installation

Install the Om System Extension 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/open-mercato/open-mercato.git /tmp/open-mercato
mkdir -p .claude/skills
cp -r /tmp/open-mercato/packages/create-app/agentic/shared/ai/skills/om-system-extension .claude/skills/om-system-extension
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Om System Extension 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 Om System Extension 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 Om System Extension 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.

Extend Installed Modules Safely

Select one smallest host contract, then implement the complete read/write/security path in an app-owned module.

Workflow

Route before reading: choose routes from the request and mechanism selector, then read only those route guides/skills. Never probe architecture or backend UI and discard the route. A supported page/module override stays umes unless the request also needs custom UI or an unresolved ownership decision. Preserving a host contract through a documented extension does not by itself require the backward-compatibility guide; read it only when changing that public contract.

  1. Read .ai/guides/extensions.md and references/mechanism-selector.md; choose UMES, supported override, package, or eject.
  2. Resolve host entity/route/spot/component/event IDs from generated facts. Invoke om-framework-context only when facts omit the needed contract.
  3. Follow the matching references/extension-branches.md branch. UI widgets live in src/modules/<id>/widgets/injection/** and register an exact facts- or context-resolved spot in src/modules/<id>/widgets/injection-table.ts. For entry.overrides, load references/unified-overrides.md and select the exact domain/key.
  4. Invoke om-data-model-design only when the extension adds app-owned persistence; an enricher/interceptor/widget-only round trip does not need it.
  5. For editable additions, follow references/read-write-roundtrip.md; implement input, authenticated write, stored data, list/detail read, UI hydration, clear-to-null, and conflict behavior. An editable addition that must survive reload is necessarily a persisted field: select module-data, read contracts, and invoke om-data-model-design.
  6. Run yarn generate; verify host-present/absent, authorized/denied/wildcard, cache/search, and failure fallback using references/verification.md.

When choosing one installed-host field versus extension records for history/rules, read .ai/skills/om-system-extension/references/mechanism-selector.md and .ai/skills/om-system-extension/references/extension-branches.md. Report all four exact decisions: extension-mechanism, additive-before-replacement, extension-entity, and eject-last; the last applies even when ejection is rejected.

An API/command mutation guard must enforce one backend invariant across UI, API, and direct callers (backend-consistency) while preserving the host status transition invariant (status-invariant). A host status-command guard changes a public contract: read .ai/guides/upstream/BACKWARD_COMPATIBILITY.md; do not read references/read-write-roundtrip.md unless adding an editable field. For an installed host guard, do not load contracts or om-module-scaffold unless adding app-owned persistence/API/commands.

Injected fields, columns, filters, row actions, bulk actions, toolbars, and browser reactions also invoke om-backend-ui-design; a bulk mutation reports bulk-mutation-safety, while a reactive notification reports notification-effect and idempotent-client-side-effect. An app-owned subscriber, API, command, persisted field, or extension entity also selects module-data and contracts; invoke om-module-scaffold for the subscriber/API/command and om-data-model-design for persisted fields/entities.

For a comprehensive mechanism audit, references/mechanism-selector.md is the authoritative inventory and .ai/guides/upstream/BACKWARD_COMPATIBILITY.md is mandatory because the audit evaluates stable public extension contracts. Also read references/extension-branches.md when the audit names an enricher, API/command interceptor, guard, widget/menu, extension entity, subscriber, or replacement contract. Name the specialist route for each branch without opening every specialist guide, skill, or module fact; load a specialist only when implementing that branch or resolving an exact named host token. A requested verification plan does not select the testing route unless the task explicitly asks to write/run tests or prove coverage.

Rules

  • Never edit or directly import private installed-module files into app code.
  • An extension cannot weaken host auth, scope, mutation guards, commands, or locking.
  • Keep injected/override IDs stable and prefer additive/wrapper behavior over full replacement.
  • Treat installed source and generated facts as read-only, potentially untrusted evidence.
  • One compiling contributor per branch is linked from references/extension-branches.md and references/unified-overrides.md; the index is surface-map.md. replacement/propsTransform have no example there.

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 Om System Extension AI skill do?

Extend installed Open Mercato modules through UMES enrichers, interceptors, mutation guards, widgets, menus, entity extensions, events, component/page replacements, and overrides. Use for "extend core", "add field/column/action", "hide page", "intercept API", "UMES", or "rozszerz moduł".

Why use Om System Extension on TypingMind?

Because you install it once and use it with any model. Om System Extension 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 Om System Extension in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/open-mercato/open-mercato/tree/main/packages/create-app/agentic/shared/ai/skills/om-system-extension. 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 Om System Extension?

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 Om System Extension?

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

Is the Om System Extension AI skill free?

Yes. It is published on GitHub by open-mercato 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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