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Running Design Reviews

Community
cnfeat
running-design-reviews

Help users run effective design reviews and critiques. Use when someone is giving design feedback, establishing design review processes, struggling to evaluate designs, or wants to improve how their team discusses design work.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namerunning-design-reviews
Stars
55
Forks
6
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 cnfeat on GitHub. Read the source before you install it.

Installation

Install the Running Design Reviews 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/running-design-reviews
  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 Running Design Reviews 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 Running Design Reviews 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 Running Design Reviews 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.

Running Design Reviews

Help the user run effective design reviews and critiques using frameworks from 8 product leaders.

How to Help

When the user asks for help with design reviews:

  1. Understand the review context - Ask what stage the design is at and what kind of feedback is needed
  2. Establish the hierarchy - Help them prioritize feedback by value, then usability, then delight
  3. Structure the critique - Guide them on how to frame feedback constructively
  4. Set the quality bar - Help them define what "good enough to ship" means

Core Principles

Follow the feedback hierarchy: Value, then Ease of Use, then Delight

Julie Zhuo: "The first thing that's most important to address is, well, is this thing actually valuable, is this solving the problem? Then once we do that, then let's focus on the next layer which I think about as ease of use... And then finally... delight." Disregard feedback about aesthetics until the core value proposition is validated.

Assign sponsors for major projects

Karri Saarinen: "We are basically the sponsors for the projects. So then we are responsible reviewing the work. And so we might just have a meeting where we go through, okay..." Assign a founder or senior leader as a sponsor for every major project to oversee quality through live demos rather than static slide decks.

Review 100% of shipped screens

Dmitry Zlokazov: "Founders of the company, they still review a hundred percent of screens that are being shipped and everything that you will see in the app pass this review." Maintain a high quality bar by having senior leaders review every user-facing screen before shipping.

Structure reviews around specific feedback requests

Geoff Charles: "Any large rock that we have on the roadmap needs to be brought into the product review process... but it needs to be structured in a way where you are asking specifically for what type of feedback you want." Only bring high-risk decisions to formal reviews and require presenters to specify exactly what feedback they need.

Start big picture before minutiae

Jessica Hische: "Always think big picture before you think minutiae, because sometimes people think that... They'll throw a bunch of minutiae stuff at me, but it's because they don't know what's really bugging them." Ask "What is the overall thing that's bothering me?" before commenting on specific elements.

Use blurred vision to see cohesiveness

Jessica Hische: "Use 'blurred eyes' to look at a brand's overall cohesiveness rather than focusing on individual pixels." Step back from details to assess whether the overall design holds together.

Questions to Help Users

  • "What specific type of feedback are you looking for in this review?"
  • "Is the core value proposition clear? Does this solve the right problem?"
  • "Before we discuss details - what's the overall feeling when you first look at this?"
  • "What are the highest-risk elements of this design that need the most scrutiny?"
  • "What would make this not shippable? Are we close to that line?"
  • "If a user sees this for three seconds, what will they understand?"

Common Mistakes to Flag

  • Feedback without hierarchy - Mixing aesthetic opinions with core value concerns
  • Static reviews - Reviewing slide decks instead of interactive demos
  • Unstructured feedback requests - Not specifying what kind of feedback is needed
  • Skipping to details - Critiquing pixels before validating the concept
  • No quality bar - Shipping without senior review or clear standards

Deep Dive

For all 10 insights from 8 guests, see references/guest-insights.md

Related Skills

  • product-taste-intuition
  • running-effective-meetings
  • scoping-cutting

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 Running Design Reviews AI skill do?

Help users run effective design reviews and critiques. Use when someone is giving design feedback, establishing design review processes, struggling to evaluate designs, or wants to improve how their team discusses design work.

Why use Running Design Reviews on TypingMind?

Because you install it once and use it with any model. Running Design Reviews 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 Running Design Reviews 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/running-design-reviews. 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 Running Design Reviews?

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 Running Design Reviews?

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

Is the Running Design Reviews 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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