Operational Expert Tool Ui logo

Operational Expert Tool Ui

Organization
dembrandt
operational-expert-tool-ui

Dense, linear, status-at-a-glance UI for specialists who use a tool all day. Use when designing dispatch, warehouse, logistics, scheduling or other B2B operations tools.

Overview

Publisherdembrandt
Repositorydembrandt-skills
Skill nameoperational-expert-tool-ui
Stars
169
Forks
21
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 dembrandt on GitHub. Read the source before you install it.

Installation

Install the Operational Expert Tool Ui 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.
    https://github.com/dembrandt/dembrandt-skills/tree/main/skills/operational-expert-tool-ui
  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/dembrandt/dembrandt-skills.git /tmp/dembrandt-skills
mkdir -p .claude/skills
cp -r /tmp/dembrandt-skills/skills/operational-expert-tool-ui .claude/skills/operational-expert-tool-ui
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Operational Expert Tool Ui 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 Operational Expert Tool Ui 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 Operational Expert Tool Ui 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.

Operational Expert Tool UI

An operational expert tool is software used by trained domain specialists — warehouse operators, dispatchers, planners, analysts — as their primary work surface, often for the entire working day. These users are not beginners discovering a product; they are professionals executing a defined job with the tool as their instrument.

This is a fundamentally different design context from consumer software or occasional-use SaaS. The design priorities are reversed: density and speed of action take precedence over discoverability and visual spaciousness.


Primary Design Principles

1. Information over whitespace

An expert user does not need breathing room to orient themselves — they know the tool. Every pixel of empty space is a missed opportunity to show data they need to act on.

  • Use compact row heights (28–36px) for data tables
  • Show secondary attributes (status, type, date) inline, not on hover or in a detail panel
  • Prefer text labels over icons alone — experts read fast, icon-only UIs slow them down at the margins

2. Workflow linearity

Expert tools are used to complete a defined task sequence, not to browse. Design the layout to reflect the workflow order: left to right, or top to bottom, matching the mental model of the task.

[Step 1: Select items]  →  [Step 2: Configure]  →  [Step 3: Execute]

The UI should make the next step obvious at every point, without hiding it behind menus or requiring navigation away from the current context.

3. Persistent state

Filters, column widths, view modes, and open/closed panels are part of the operator's work context. They should survive page reloads and be consistent between sessions unless the user explicitly resets them.

Do not reset the UI on every visit — the expert has spent time configuring it to their workflow.


Hierarchical Accordion Tables

Many operational domains have naturally hierarchical data: an order contains lines; a route contains stops; a project contains tasks. The right pattern is an in-place accordion, not a drill-down to a separate page.

▶ Order #1042   ACME Corp    3 lines    Pending
▼ Order #1089   Globex       2 lines    Ready
    ├─ Line 1   Widget A    Qty: 12    ✓ In stock
    └─ Line 2   Widget B    Qty:  4    ✗ No stock
▶ Order #1091   Initech      5 lines    Pending

Why accordion over page navigation:

  • Context is preserved — the operator can see multiple orders simultaneously
  • Status across siblings is visible without navigating back
  • Keyboard navigation (expand/collapse with arrow keys) keeps hands on the keyboard

Per-row inclusion toggles: In planning and staging workflows, each row may need to be explicitly included or excluded from a batch operation. Use a checkbox or toggle per row that is always visible — not hidden on hover.


At-a-Glance Status Indicators

Operators make decisions based on status. Status should be visible without interaction.

GoodAvoid
Coloured dot or pill always visible in the rowStatus only visible on hover or in a tooltip
2–3 status states with distinct coloursMore than 5 status colours (hard to memorise)
Status label beside colour for accessibilityColour alone as the only indicator
Consistent colour semantics across the whole toolSame colour meaning different things in different tables

Status colour conventions should align with status-colors-and-errors — green for ready/complete, amber for warning/pending, red for error/blocked, grey for inactive.


Workflow-State Filters vs. Search Filters

Expert tools often have two distinct types of filters that should be treated differently in the UI:

Workflow-state filters narrow the dataset to the operator's current work scope. They persist, they are broad, and they represent a decision ("I am working on today's orders that are not yet assigned"). Place these in a permanent filter bar or sidebar, always visible.

Search filters find a specific item within the current scope. They are transient. Place these in a search input that can be cleared quickly.

Do not merge these into a single filter UI — the operator switches mental mode between "what scope am I working in?" and "where is that specific item?"

[Workflow scope: Today ▾]  [Status: Unassigned ▾]  [Stock: Available ▾]
                                                     ↑ Persistent workflow-state filters

    Search within scope: [___________]
                                                     ↑ Transient search

Keyboard Navigation

Expert users learn keyboard shortcuts. They should not be required, but they dramatically increase throughput for trained users.

  • Arrow keys navigate rows in a table
  • Space or Enter expands an accordion row
  • Escape closes an open panel or dialog
  • Common actions have discoverable shortcuts (shown in tooltips: Delete [Del], Include [Space])

Do not rely on right-click context menus as the only path to actions — they are not discoverable and break keyboard-only workflows.


Action Feedback at Scale

When an operation affects many items (batch assign, mass status update), the feedback must be proportional:

  • For fewer than ~10 items: inline confirmation is sufficient
  • For 10–100 items: a toast notification with count ("42 orders updated")
  • For 100+ items: a progress indicator during the operation, then a summary on completion

Never silently complete a bulk operation with no feedback — the expert needs to confirm their action took effect.


Review Checklist

  • Is the information density appropriate for trained daily users (compact rows, inline status)?
  • Does the layout reflect the workflow sequence (left-to-right or top-to-bottom task flow)?
  • Are filters, view modes, and open panels persisted across sessions?
  • Is hierarchical data shown as in-place accordions, not separate pages?
  • Are per-row inclusion controls always visible, not hidden on hover?
  • Are status indicators always visible without interaction?
  • Are workflow-state filters separated from transient search filters?
  • Are common actions accessible via keyboard?
  • Does bulk operation feedback scale with the number of affected items?

Frequently asked questions

What does the Operational Expert Tool Ui AI skill do?

Dense, linear, status-at-a-glance UI for specialists who use a tool all day. Use when designing dispatch, warehouse, logistics, scheduling or other B2B operations tools.

Why use Operational Expert Tool Ui on TypingMind?

Because you install it once and use it with any model. Operational Expert Tool Ui 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 Operational Expert Tool Ui in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dembrandt/dembrandt-skills/tree/main/skills/operational-expert-tool-ui. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Operational Expert Tool Ui?

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 Operational Expert Tool Ui?

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

Is the Operational Expert Tool Ui AI skill free?

Yes. It is published on GitHub by dembrandt 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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