Skilld Tui Design logo

Skilld Tui Design

Organization
skilld-dev
skilld-tui-design

Designs and verifies skilld CLI output, terminal pickers, and full-screen flows. Use for terminal colours, loading feedback, keyboard controls, layout, errors, or end-to-end CLI UX reviews.

Overview

Publisherskilld-dev
Repositoryskilld
Skill nameskilld-tui-design
Stars
327
Forks
9
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by skilld-dev on GitHub. Read the source before you install it.

Installation

Install the Skilld Tui Design 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/skilld-dev/skilld/tree/main/skills/skilld-tui-design
  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/skilld-dev/skilld.git /tmp/skilld
mkdir -p .claude/skills
cp -r /tmp/skilld/skills/skilld-tui-design .claude/skills/skilld-tui-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skilld Tui 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 Skilld Tui 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 Skilld Tui 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.

Design skilld CLI interactions

Build the user's whole command journey, including failure, cancellation, and the return to their shell. Read source decisions for the two reviewed Skills and their exact revisions.

Establish the contract

Read the project's GLOSSARY.md, COPY.md, and VISION.md when present. Keep canonical nouns and strings. Use short sentences with one idea each. Inspect the command parser, output renderer, and terminal lifecycle before changing behavior. Classify each affected surface as static output, a picker, a prompt, or a full-screen view. Include command help, parser errors, startup notices, and progress indicators in the inventory. List its starting state, successful outcome, expected failures, and cancellation behavior. Keep the existing JSON envelope, streams, and exit codes unless the task changes that contract.

Use the existing shared renderer and semantic palette. Avoid adding a second framework or per-screen theme. Start with crates/skilld-ui, crates/skilld-command/src/output.rs, and crates/skilld-native/src. Inspect command help and routing in crates/skilld-command/src/lib.rs.

Put the decision first

Static output starts with the requested result or the failed action. Group repeated records consistently. Place supporting metadata below each record. Use spacing and headings before adding boxes. Keep commands copyable. Preserve whitespace inside quoted arguments. Wrap prose and paths by terminal cells. Preserve the original value in machine output. Give empty results a useful next action based on available commands.

Pickers show the question, query, matching count, selected item, and valid keys. Full-screen views keep scope and current state visible. For large inventories, start with recommendations and counts. Open projects or folders before listing individual Skills. Use words for findings. Label identical copies as duplicates and show their paths; separate symlinks from directory copies. State when a filter changes only the view. An action review must still list every affected target. Spend rows on the user's decision. Do not reserve space for decorative panels. If a pane cannot show complete content, provide reachable scrolling or a detail view. At smaller sizes, simplify the layout before hiding required information. If the screen is unusable, block hidden actions and show the required size.

Use colour with independent cues

Inherit the terminal's foreground and background for body text. Share roles for brand, action, secondary information, success, warning, error, focus, and selection. Use one action accent across screens. Reserve status colours for actual status. Show ownership as a label, without implying safety or success. Pair colour with words, markers, bold text, or inverse selection. Make pane focus visible when colour is disabled. Honor NO_COLOR, TERM=dumb, and existing output capability detection. Never claim contrast across unknown terminal themes from one screenshot.

Make state and input agree

Use explicit states for loading, browsing, editing, review, applying, completion, and failure. Prefer tagged states carrying their required data over overlapping pending flags. Keep filesystem and network work outside the input loop. If operations can overlap, identify their results so stale work cannot replace the current view. Derive available actions and footer hints from the same state rules. Keep query editing separate from global shortcuts. Typing q in a query must remain possible. Make Escape predictable: cancel editing or review before leaving the whole screen. Preserve selection by stable identity when refreshing data. Bound scrolling and expose position when the remaining content is otherwise unclear. Provide discoverable help when the current footer cannot explain all controls.

Explain waiting and outcomes

Show the operation, scope, elapsed time, and available cancellation action. When the total is unknown, show activity and observed counts without a percentage. When the total is known, show completed and total work. Keep previous results readable during refresh when they remain relevant. Label them as previous results if refresh fails. Keep errors visible until the user changes state or dismisses them. Do not replace an error with a filter label or a generic loading message. Describe partial completion explicitly. Preserve recovery and backup paths.

Before a destructive change, show the exact action, item, paths, and content replacement. Require deliberate confirmation of that specific plan. Discard stale activation keys before entering consent states. Preserve cancellation requests. If writes cannot stop safely, defer exit and say so. Never display a cancellation key that does nothing. Restore the terminal on success, failure, and cancellation. After leaving the alternate screen, print a durable summary of completed changes and recovery paths. Provenance describes source evidence. It never proves that instructions are safe.

Verify the whole journey

Run focused behavior tests for changed transitions and regressions. Use the real renderer for layout tests. Do not test source text or private implementation shape. Inspect actual terminal captures, including colour and monochrome. Cover normal and narrow sizes, short screens, Unicode names, long paths, and resize during confirmation. Exercise loading, empty results, errors, filtering, review, cancellation, completion, and return to the shell. Use disposable fixtures for migration, removal, and restoration. Check plain and JSON output separately for escape sequences, stream changes, and exit codes. Run the repository's required checks after integration.

Report what changed and what was exercised. Identify any live path that remains untested. Do not treat passing snapshots as proof of keyboard behavior or terminal restoration.

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 Skilld Tui Design AI skill do?

Designs and verifies skilld CLI output, terminal pickers, and full-screen flows. Use for terminal colours, loading feedback, keyboard controls, layout, errors, or end-to-end CLI UX reviews.

Why use Skilld Tui Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/skilld-dev/skilld/tree/main/skills/skilld-tui-design. 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 Skilld Tui 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 Skilld Tui Design?

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

Is the Skilld Tui Design AI skill free?

Yes. It is published on GitHub by skilld-dev 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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