Product Delight

Community

kemiljk

product-delight

Improve product care, anticipation, and useful feedback when the user asks for delight or polish.

Overview

Publisher	kemiljk
Repository	`skills`
Skill name	`product-delight`
Stars	64
Forks	3
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 kemiljk on GitHub. Read the source before you install it.

Installation

Install the Product Delight 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/kemiljk/skills/tree/main/skills/product-delight
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.

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/kemiljk/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/product-delight .claude/skills/product-delight

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

Use it in TypingMind

Enable Product Delight 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 Product Delight 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 Product Delight 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.

Product Delight

Delight is anticipation, reliability, and care. Animation can support those qualities. Animation is not the definition of them.

Principles

Give people what they need before they know to ask.
Arrive early with useful defaults and prefilled context.
Show care in the smallest details.
Make the product feel attentive to the person using it.
Work as expected every time.
Meet the expected path, then offer the extra mile.
Prefer tiny details with outsized clarity over spectacle.
Treat delight as icing, not the cake.
Stay between excess and restriction.
Leave no important question unanswered in the journey.

Defaults

Identify the user need before adding motion; infer it from the task and ask only if the missing context changes the design.
Invest first in reliability, latency, empty states, and clarity.
Use motion to explain cause and effect, not to decorate.
Remove novelty that competes with the task.

Prefer / Reject

Prefer	Reject
Anticipatory defaults	Confetti on every success
Reliable interactions	Delight that fails under slow networks
Quiet craft details	"Make it pop" with no problem statement
One meaningful moment	Many competing flourishes

Review checklist

What human need does this delight anticipate?
Does the base task already work reliably?
Would removing the flourish make the product worse or merely quieter?
Does motion clarify state, hierarchy, or feedback?
Is there a reduced-motion equivalent that keeps the meaning?
Would this still feel considerate on a second and tenth use?

Source essays

Ten principles for product delight
On overdoing delight
On adding homepage delight

Frequently asked questions

What does the Product Delight AI skill do?

Improve product care, anticipation, and useful feedback when the user asks for delight or polish.

Why use Product Delight on TypingMind?

Because you install it once and use it with any model. Product Delight 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 Product Delight in TypingMind?

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

Which AI models can use Product Delight?

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 Product Delight?

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

Is the Product Delight AI skill free?

Yes. It is published on GitHub by kemiljk 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

Product Delight

Principles

Defaults

Prefer / Reject

Review checklist

Source essays

Frequently asked questions

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