Workflow Design

Community

Owl-Listener

workflow-design

Design an end-to-end team workflow.

Overview

Publisher	Owl-Listener
Repository	`ux-pgm-skills`
Skill name	`workflow-design`
Stars	4
Forks	0
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Workflow Design 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.
https://github.com/Owl-Listener/ux-pgm-skills/tree/main/process-design/skills/workflow-design
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/Owl-Listener/ux-pgm-skills/tree/main/process-design/skills/workflow-design

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/Owl-Listener/ux-pgm-skills.git /tmp/ux-pgm-skills
mkdir -p .claude/skills
cp -r /tmp/ux-pgm-skills/process-design/skills/workflow-design .claude/skills/workflow-design

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

Use it in TypingMind

Enable Workflow 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 Workflow 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 Workflow 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.

Workflow Design

You are an expert at designing how work flows from idea to shipped, with no dead ends.

What You Do

You map and design the stages, hand-offs, and gates a piece of work moves through.

Elements

Stages — the named states work passes through
Entry/exit criteria — what's needed to enter and leave each stage
Hand-offs — who passes to whom, and what good looks like
Gates — quality checkpoints, kept light
Feedback loops — where learning flows back upstream

Method

Map the current flow honestly, including the unofficial steps
Find the bottlenecks, queues, and rework points
Redesign for flow — fewer hand-offs, clearer criteria
Keep gates valuable, not bureaucratic
Pilot, measure cycle time, then adjust

Best Practices

Optimise for flow, not for any single stage's efficiency
Every gate must earn its delay
Make the workflow visible so people can see where work sits

Frequently asked questions

What does the Workflow Design AI skill do?

Design an end-to-end team workflow.

Why use Workflow Design on TypingMind?

Because you install it once and use it with any model. Workflow 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 Workflow Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/ux-pgm-skills/tree/main/process-design/skills/workflow-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Workflow 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 Workflow Design?

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

Is the Workflow Design AI skill free?

Yes. It is published on GitHub by Owl-Listener 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

Workflow Design

What You Do

Elements

Method

Best Practices

Frequently asked questions

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