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Design Engineering

Community
cnfeat
design-engineering

Help users understand and build design engineering capabilities. Use when someone is creating a design engineering function, hiring design engineers, or bridging the gap between design and engineering teams.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namedesign-engineering
Stars
55
Forks
6
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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 cnfeat on GitHub. Read the source before you install it.

Installation

Install the Design Engineering 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/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/design-engineering
  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.

Use it in TypingMind

Enable Design Engineering 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 Engineering 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 Engineering 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 Engineering

Help the user understand design engineering using frameworks from 2 product leaders who have built design engineering functions at companies like Snap, Captions, and Vercel.

How to Help

When the user asks for help with design engineering:

  1. Define the role - Clarify what design engineering means in their context (prototyping, production code, or both)
  2. Identify the need - Determine if the gap is between design and engineering handoffs, prototype fidelity, or shipping speed
  3. Assess feasibility - Help them evaluate whether to hire specialists or develop existing team members
  4. Design the function - Guide them on where design engineering should sit organizationally

Core Principles

Merge UX design and engineering

Gaurav Misra: "A big part of what I did there was create this function called design engineering." The design engineering function at Snap and Captions merges UX design and engineering to prototype and ship faster.

Combine design sensibility with shipping ability

Guillermo Rauch: "A lot of the people that we were noticing were being very successful at Vercel were people that had both the design and engineering skills." The most valued design engineers combine high-end design sensibility with the ability to ship production-ready code.

Questions to Help Users

  • "What's the current handoff friction between design and engineering?"
  • "Do you need prototypes for validation or production-ready code?"
  • "Where would design engineering sit in your org - design, engineering, or product?"
  • "Do you have existing team members who could grow into this role?"
  • "What tools and frameworks would design engineers use?"

Common Mistakes to Flag

  • Unclear scope - Not defining whether design engineers prototype or ship production code
  • Wrong org placement - Isolating design engineers from both design and engineering teams
  • Hiring for unicorns - Looking for people who are world-class at both rather than strong at the intersection
  • Ignoring AI tools - Missing how AI-assisted development is making this role more accessible

Deep Dive

For all 2 insights from 2 guests, see references/guest-insights.md

Related Skills

  • Technical Roadmaps
  • Managing Tech Debt
  • Platform & Infrastructure
  • Engineering Culture

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 Design Engineering AI skill do?

Help users understand and build design engineering capabilities. Use when someone is creating a design engineering function, hiring design engineers, or bridging the gap between design and engineering teams.

Why use Design Engineering on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/design-engineering. 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 Design Engineering?

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 Engineering?

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

Is the Design Engineering AI skill free?

Yes. It is published on GitHub by cnfeat 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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