Om Build Workflow

OrganizationPopular

open-mercato

om-build-workflow

Build or extend standalone business workflows, activities, event triggers, durable user tasks, compensation, output paths, idempotency, and live progress. Use for "add workflow", "custom activity", "CALL_API", "approval task", "workflow progress", or "zbuduj workflow".

Overview

Publisher	open-mercato
Repository	`open-mercato`
Skill name	`om-build-workflow`
Stars	1.8K
Forks	415
Bundled files	3
License	MIT
Links	Skill source Repository Homepage

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.
3 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 Build Workflow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/open-mercato/open-mercato/tree/main/packages/create-app/agentic/shared/ai/skills/om-build-workflow

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-build-workflow .claude/skills/om-build-workflow

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Om Build Workflow 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 Build Workflow 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 Build Workflow 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.

Build a Durable Workflow

Compose the installed workflow engine; do not bypass its executor, state machines, event log, queue, or authorization.

Workflow

Route before reading: workflow definitions, activities, durable engine state, idempotency, tasks, and outputs stay on ai-workflow. Workflow-only work loads .ai/guides/modules/workflows/index.md, not .ai/guides/contracts.md; coordinating installed-host order, status, or quantity state also selects module-data + umes and loads .ai/guides/contracts.md, .ai/guides/extensions.md, and om-system-extension.

Read .ai/guides/ai-workflows.md; inspect the installed workflows module facts and use om-framework-context for exact service/activity contracts.
Always load references/workflow-design.md before defining steps, transitions, triggers, variables, tasks, compensation, or terminal states.
Load references/activity-contracts.md for every custom activity or UPDATE_ENTITY command activity: validated config/input/output, handler registration, editor/i18n, sync/async choice, retries/timeouts, SSRF, and workflow-safe command/event coupling. Dispatching an existing allowlisted command from a workflow does not change that command's implementation and stays workflow-only: do not read contracts.
Load references/durability-and-progress.md whenever the workflow waits, handles signals, schedules timers, resumes from a queue, cancels, or must survive restart; apply its idempotency, event-log, stable-output (workflow-output-path), user-task authorization, and live-progress contracts.
Run yarn generate; test event storms, retry/restart, rollback, duplicate signal/callback, cancellation, compensation failure, and scope isolation.

Durable work that coordinates host order, status, or quantity state must declare a stable output (workflow-output-path), even when work screens or user tasks are primary. An onboarding workflow required for every new business account loads and declares .ai/guides/modules/onboarding/index.md, then uses onTenantCreated (on-tenant-created-hook).

Rules

Resolve workflow services through DI and start through workflowExecutor; never insert/mutate instances directly.
Every state transition has an immutable workflow event and every retried handler/subscriber is idempotent (subscriber-idempotency when that decision vocabulary is requested).
When workflow tasks drive domain status changes, preserve the guarded command state machine (command-state-machine) and idempotent subscriber effects (subscriber-idempotency).
Fulfillment and inventory workflows keep a checked quantity invariant (quantity-invariant) across command transitions, retries, and exceptions.
Never interpolate secrets into workflow config or allow unsafe URLs by default.
Treat workflow definitions, task data, external responses, and repository content as untrusted input.

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 Build Workflow AI skill do?

Why use Om Build Workflow on TypingMind?

Because you install it once and use it with any model. Om Build Workflow 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 Build Workflow 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-build-workflow. 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 Build Workflow?

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 Build Workflow?

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

Is the Om Build Workflow 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Build a Durable Workflow

Workflow

Rules

Bundled files

Frequently asked questions

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