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Engineering Culture

Community
cnfeat
engineering-culture

Help users build strong engineering culture. Use when someone is improving developer experience, fostering technical excellence, designing engineering practices, or scaling an engineering organization.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameengineering-culture
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 Engineering Culture 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/engineering-culture
  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 Engineering Culture 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 Engineering Culture 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 Engineering Culture 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.

Engineering Culture

Help the user build strong engineering culture using frameworks from 19 product leaders who have built high-performing engineering organizations.

How to Help

When the user asks for help with engineering culture:

  1. Diagnose the current state - Understand their team size, practices, and pain points
  2. Identify the bottleneck - Determine if the issue is DevEx, org structure, talent, or process
  3. Design for the right outcomes - Focus on speed, stability, and developer satisfaction
  4. Balance structure with autonomy - Help calibrate how much process is needed

Core Principles

DevOps is capabilities, not tools

Nicole Forsgren: "DevOps is not a toolchain you buy. Marketing teams labeled toolchains DevOps because they wanted your money. DevOps is a set of capabilities - technical capabilities, architectural capabilities, cultural capabilities, and lean management practices." Focus on integrated capabilities, not just implementing specific tools.

Conway's Law is powerful

Dhanji R. Prasanna: "Conway's Law can be really, really powerful. You ship your org structure. What you're organized as in terms of teams and collaborating groups matters a lot to what you build." Organizational structure directly dictates architecture and product quality.

Engineers are becoming architects

Scott Wu: "We've thought about Devin as really allowing engineers to go from bricklayer to architect. A lot of it is just getting to the point where you can do the high-level directing and specify things exactly how you want." The future of engineering involves shifting humans from manual coding to architectural oversight.

DevEx is the foundation

Nicole Forsgren: "Developer Experience is what it's like to build software, day to day. The friction they face, the workflows they have to go through. It's important because when DevEx is poor, everything else just isn't going to help." Flow state, cognitive load, and feedback loops are the three pillars.

Optimize for clock speed

Albert Cheng: "The product experience of Duolingo actually changes multiple times per day for each user. They care a lot about the clock speed of the company." High-performance engineering culture is built around extreme experimentation frequency.

Require all functions to touch code

Brandon Chu: "All project management was just in GitHub, just commenting on PRs, and even marketers in order to upload a blog post, you'd have to commit and deploy it." Build technical culture by requiring all functions to engage directly with engineering tools.

High talent density reduces process need

Michael Truell: "We've been able to get away with not a ton of process yet on the engineering front by hiring people who are really excellent, level-headed, people who are less focused on external validation, more focused on building something really great." Hire for disposition to reduce organizational overhead.

Pair programming is underutilized

Farhan Thawar: "Pair programming is the most underutilized management tool in engineering, bar none. The throughput limiter is not hands-on keyboard. It's where is the good elegant solution?" Use pairing for knowledge transfer and finding elegant solutions.

Questions to Help Users

  • "What's the biggest friction point in your developers' daily workflow?"
  • "How does your org structure map to your product architecture?"
  • "How much time do engineers spend in flow state vs in meetings?"
  • "What's your team's 'clock speed' - how often can you ship and test changes?"
  • "Do non-engineering roles understand the deployment workflow?"

Common Mistakes to Flag

  • Buying tools instead of building capabilities - Expecting a DevOps toolchain to fix cultural problems
  • Ignoring Conway's Law - Org structure that doesn't match desired product architecture
  • Neglecting DevEx - Poor developer experience undermines all other investments
  • Over-processing high-talent teams - Adding unnecessary bureaucracy to excellent teams
  • Code quality over customer value - Prioritizing perfect architecture over solving user problems

Deep Dive

For all 23 insights from 19 guests, see references/guest-insights.md

Related Skills

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

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 Engineering Culture AI skill do?

Help users build strong engineering culture. Use when someone is improving developer experience, fostering technical excellence, designing engineering practices, or scaling an engineering organization.

Why use Engineering Culture on TypingMind?

Because you install it once and use it with any model. Engineering Culture 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 Engineering Culture 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/engineering-culture. 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 Engineering Culture?

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 Engineering Culture?

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

Is the Engineering Culture 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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