Design Handoff

Organization

getcrew44

design-handoff

Use when a design is ready for engineering — produce an implementation-ready spec covering layout, tokens, states, responsive behavior, edge cases, motion, and accessibility.

Overview

Publisher	getcrew44
Repository	`crew44`
Skill name	`design-handoff`
Stars	357
Forks	12
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by getcrew44 on GitHub. Read the source before you install it.

Installation

Install the Design Handoff 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/getcrew44/crew44/tree/main/daemon/internal/presets/defaultcrew/skills/designer/design-handoff
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/getcrew44/crew44/tree/main/daemon/internal/presets/defaultcrew/skills/designer/design-handoff

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/getcrew44/crew44.git /tmp/crew44
mkdir -p .claude/skills
cp -r /tmp/crew44/daemon/internal/presets/defaultcrew/skills/designer/design-handoff .claude/skills/design-handoff

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

Use it in TypingMind

Enable Design Handoff 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 Design Handoff 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 Design Handoff 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 Handoff

Produce a spec that lets the Coding Agent build the design without guessing. If it isn't specified, they'll have to invent — and they'll invent inconsistently.

Principles

Tokens, not values. Reference --space-4 or color-primary-600, not 16px or #2563eb. If a value isn't in the system, flag that as a token gap, not a one-off.
Show every state. Default, hover, active, focus, disabled, loading, error, empty, success. A state you skip becomes a bug.
Explain the why. "This collapses to a sheet on mobile because the action is one-handed" helps the engineer make sensible judgment calls when reality diverges from the spec.
Specify edges, not just the happy path. Long text, no text, slow connection, partial data — pin the behavior.

Sections the spec must cover

Overview. What this screen or component does, who uses it, and the user state when they encounter it.
Layout. Grid, breakpoints, responsive behavior at each breakpoint. Where things move, hide, or change order.
Tokens used. Color, typography, spacing, radius, shadow — listed with their token names and where they apply.
Components. Each component named, with variants, props that matter for behavior, and any composition rules.
States and interactions. Per element, the full state list with the visual change and trigger.
Responsive behavior. What changes at each breakpoint. Not just "stacks on mobile" — what gets prioritized, what gets cut.
Edge cases. Long copy, empty data, zero results, max items, slow connection, error states. The expected behavior for each.
Motion. Per animated element: trigger, what moves, duration, easing. Honor prefers-reduced-motion.
Accessibility. Focus order, ARIA labels and roles, keyboard interactions, screen reader announcements, contrast confirmations.

Common spec gaps that cause rework

Loading and error states for async content.
What happens when content overflows (truncate? wrap? scroll?).
Empty state for collections that start empty.
Behavior under slow or failed network.
Keyboard shortcuts and tab order through complex layouts.
Animation choreography across linked elements.

Output

A single document with the sections above. Each section uses tables or short bullets, not prose paragraphs. Tokens and component names cited verbatim. Open questions called out at the bottom, tagged with who needs to answer (engineering, product, content).

Frequently asked questions

What does the Design Handoff AI skill do?

Use when a design is ready for engineering — produce an implementation-ready spec covering layout, tokens, states, responsive behavior, edge cases, motion, and accessibility.

Why use Design Handoff on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getcrew44/crew44/tree/main/daemon/internal/presets/defaultcrew/skills/designer/design-handoff. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Handoff?

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 Design Handoff?

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

Is the Design Handoff AI skill free?

Yes. It is published on GitHub by getcrew44 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

Design Handoff

Principles

Sections the spec must cover

Common spec gaps that cause rework

Output

Frequently asked questions

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