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Product Operations

Community
cnfeat
product-operations

Help users build and scale product operations functions. Use when someone is scaling a product team, struggling with cross-functional coordination, needs to standardize product processes, or wants to improve how insights reach product teams.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameproduct-operations
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 Product Operations 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/product-operations
  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 Product Operations 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 Operations 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 Operations 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 Operations

Help the user build and scale product operations functions using frameworks from 5 product leaders.

How to Help

When the user asks for help with product operations:

  1. Understand the pain points - Ask what's breaking down in their current product processes
  2. Assess organizational scale - Determine if they're at the stage where dedicated product ops makes sense
  3. Define the scope - Help them clarify what product ops should own vs. what PMs should retain
  4. Design the systems - Create processes that enable product teams without creating bureaucracy

Core Principles

Product ops bridges product and operations

Brian Tolkin: "One solution to that problem, our solution at the time was to start up a new function called product operations who had accountability and reported into operations but physically sat with and operated much like a member of the product team." Product ops originated as a bridge between centralized product teams and distributed operations, ensuring product decisions account for operational reality.

Product ops creates systems for product teams to thrive

Christine Itwaru: "Product operations for a VP or a head of product or a product manager is the creation of some system that allows you to thrive or allows your team to thrive in product management." The function is about building systems that enable product management, not doing product management itself.

Product ops enables scaling velocity

Geoff Charles: "We invested early on in product operations... they basically are tasked with a lot of the work that needs to get done to continue shipping products and scaling product development." Product ops handles release management, enablement, and operational tasks that would otherwise distract PMs from their core work.

Product ops informs, not decides

Melissa Perri + Denise Tilles: "Product operations does not take away decision making rights from the product manager. It's there to inform them." Product ops provides insights and infrastructure but doesn't make product decisions - that remains with PMs.

Product ops helps with standardization and insights at scale

Melissa Perri: "Product management at scale is really hard, and that's where product operations comes in. So what it does is it helps you get the right insights to the team, and then help standardize those outputs and those check-ins." The function focuses on standardizing roadmaps, scaling user research, and surfacing data insights across the organization.

Questions to Help Users

  • "What operational tasks are currently taking PMs away from product work?"
  • "How do insights from sales, support, and operations currently reach product teams?"
  • "What would be different if every PM had standardized processes and tools?"
  • "Where are the biggest coordination gaps between product and other functions?"
  • "At what point did your product org start struggling with scale?"

Common Mistakes to Flag

  • Product ops as PM work - Asking product ops to make product decisions instead of enabling PMs
  • Too early investment - Building a product ops function before the product org is large enough to need it
  • Process for process's sake - Creating standardization that slows teams down rather than enabling them
  • Siloed from product - Product ops reporting into operations without close connection to product teams
  • Unclear ownership - Ambiguity about what product ops owns vs. what PMs own

Deep Dive

For all 5 insights from 5 guests, see references/guest-insights.md

Related Skills

  • prioritizing-roadmap
  • running-effective-meetings
  • platform-infrastructure

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 Operations AI skill do?

Help users build and scale product operations functions. Use when someone is scaling a product team, struggling with cross-functional coordination, needs to standardize product processes, or wants to improve how insights reach product teams.

Why use Product Operations on TypingMind?

Because you install it once and use it with any model. Product Operations 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 Operations 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/product-operations. 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 Operations?

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 Operations?

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

Is the Product Operations 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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