Product Reviews logo

Product Reviews

OrganizationPopular
RefoundAI
product-reviews

Help users design and facilitate product reviews that shift from status updates to strategic deep-dives, ensuring high-quality craftsmanship and organizational alignment.

Overview

PublisherRefoundAI
Repositorylenny-skills
Skill nameproduct-reviews
Stars
1.3K
Forks
170
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by RefoundAI on GitHub. Read the source before you install it.

Installation

Install the Product 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.
  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/RefoundAI/lenny-skills.git /tmp/lenny-skills
mkdir -p .claude/skills
cp -r /tmp/lenny-skills/skills/product-reviews .claude/skills/product-reviews
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product 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 Product 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 Product 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.

Effective Product Reviews

Run rigorous alignment sessions that raise the quality bar and accelerate decision-making.

Help the user with effective product reviews using insights from 12 guests and posts across Lenny's Podcast and Newsletter.

How to Help

  1. Assess review culture - Evaluate current review formats and identify bottlenecks or gaps in quality standards.
  2. Select a framework - Recommend the appropriate review stage or template based on the project's complexity and lifecycle.
  3. Draft review materials - Assist in framing problem statements, mapping the option space, and preparing pre-read documents.
  4. Facilitate the session - Provide techniques for gauging sentiment, managing dissent, and capturing clear decisions.

Core Principles

Evaluate Frameworks, Not Solutions

From "How Figma builds product": "One thing I encourage for both is to first present the “option space”—it’s really powerful to have a framework that maps all possible solutions or problems and use that as a device to discuss high-level tradeoffs or philosophical differences."

High-quality decisions come from mapping the entire field of possible solutions rather than debating a single proposal in isolation.

Establish a Transparent Cadence

From "How Duolingo builds product": "Product review meetings happen every Tuesday and Thursday for a total of two hours. These two hours are divided into 20-minute slots that product teams sign up to present. The agenda of these meetings is product teams presenting their proposed product changes for the first 5 to 10 minutes and then reviewers asking questions and giving feedback for the rest of the time."

Recurring, short review slots prevent feedback bottlenecks and create a shared understanding of what constitutes quality across the organization.

Separate Problem from Solution

From "How Miro builds product": "Product reviews can focus on different stages of the product development lifecycle: P-Strat: long-term strategy and vision; P0: the opportunity and problem that we want to pursue; P1: the proposed solution; P2: what we launched and how it’s performing."

Structure reviews into distinct stages to ensure leadership agrees on the problem and the strategic direction before teams commit to high-fidelity design work.

Operationalize Quality Mantras

From "How Miro builds product": "One of the product leaders came up with the 'Mona Lisa principle'—simply put, everything we ship should be like a Mona Lisa painting, something we’d be proud of putting our name on. . . Every month, they review everything that was shipped and say what is high-quality or not."

Use simple metaphors or principles to build intuition across the team, helping everyone understand the bar for excellence without constant oversight.

Alignment Over Sales Pitches

From "How Snowflake builds product": "The goal of a product review isn’t to “sell” the leadership team on a new investment but to detail customer requirements, align on relative business priorities, and provide a clear direction of how to address these challenges."

Format reviews as collaborative sessions focused on consistent decision-making rather than internal marketing or selling an idea to leadership.

Focus on Rigorous Problem Clarification

Tomer Cohen: "I push a lot for what is actually your opinion, what is your potentially controversial opinion and the best principles have teeth. So saying that we should build a simple product for me is useless. Who doesn't want to build a simple product?"

Reviews should be deep-dives into specific problems and principled opinions, avoiding the trap of high-level status updates that provide no strategic value.

Templates & Frameworks

  • Product Review Stages (P-Strat, P0, P1, P2) (How Miro builds product) - A four-stage product review framework aligned to the product development lifecycle, each with defined templates and review criteria
  • Uncertainty × Impact 2x2 Review Cadence Rubric (Five principles for successfully managing managers) - A 2x2 matrix for skip leads to determine how closely to review delegated projects based on uncertainty and impact
  • Option Space (How Figma builds product) - A framework for product reviews where the presenter maps all possible solutions or problems before discussing specific directions, enabling better debate on tra
  • Alignment Scale Widget (Yuhki Yamashata) - A FigJam/Figma widget that shows a spectrum where reviewers click to place their avatar, enabling quick pulse checks on alignment during product reviews
  • Snowflake Product Review Document (Six-Pager) (How Snowflake builds product) - A six-page document shared one week before product reviews that outlines the customer problem, proposed solution, and key data for leadership review
  • Notion's Four-Stage Product Review Process (How Notion builds product) - A structured check-in process at four key milestones in product development, replacing unstructured working sessions. Primarily async with a shift to synchronou
  • Async Product Review Workflow with Talktracks (How Miro builds product) - A workflow for making product reviews more efficient by shifting presentations to async and focusing meetings on discussion
  • Project Murder Board (Nabeel S. Qureshi) - A peer-review process for new projects where a 2-page plan is aggressively critiqued by smart outsiders.

See references/artifacts.md for the full list with details.

Questions to Help Users

  • "What stage of the product development lifecycle is this project currently in?"
  • "Have you mapped out the full range of possible solutions or are you presenting a single path?"
  • "What is the specific, nuanced problem statement you are trying to solve?"
  • "How does this project rank on the uncertainty versus impact matrix?"
  • "Are there dissenting opinions within the team that should be surfaced during this review?"
  • "What are the principled opinions that the team is bringing to this discussion?"

Common Mistakes to Flag

  • Treating reviews as status updates - This wastes leadership time and fails to address strategic blockers or quality issues.
  • Reviewing too late in the process - Teams become wedded to a solution, making leadership feedback feel like a demoralizing roadblock rather than guidance.
  • Seeking consensus instead of alignment - Waiting for everyone to agree slows down development and often results in watered-down product decisions.
  • Debating solutions before agreeing on the problem - This leads to circular arguments where stakeholders are optimizing for different goals.

Deep Dive

For all 12 sourced insights from 12 guests, see references/guest-insights.md

Related Skills

  • Executive Communication
  • Managing Up
  • Running Meetings
  • Written Communication

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 Product Reviews AI skill do?

Help users design and facilitate product reviews that shift from status updates to strategic deep-dives, ensuring high-quality craftsmanship and organizational alignment.

Why use Product Reviews on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RefoundAI/lenny-skills/tree/main/skills/product-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 Product 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 Product Reviews?

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

Is the Product Reviews AI skill free?

Yes. It is published on GitHub by RefoundAI 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇