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Platform Infrastructure

Community
cnfeat
platform-infrastructure

Help users build and scale internal platforms and technical infrastructure. Use when someone is deciding whether to build vs buy tooling, designing developer platforms, creating shared services, or managing technical debt at scale.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameplatform-infrastructure
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 Platform Infrastructure 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/platform-infrastructure
  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 Platform Infrastructure 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 Platform Infrastructure 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 Platform Infrastructure 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.

Platform Infrastructure

Help the user design and scale internal platforms and shared technical infrastructure using insights from 5 product and engineering leaders.

How to Help

When the user asks for help with platform infrastructure:

  1. Understand the platform's purpose - Ask whether they're building for internal developers, external partners, or both
  2. Assess organizational readiness - Determine if they have the adoption and governance structures to support a platform
  3. Identify the leverage points - Help them find where platform investment creates the most value multiplication
  4. Design for adoption - Ensure the platform solves real developer problems, not theoretical ones

Core Principles

Abstract common capabilities into shared infrastructure

Daniel Lereya: "We actually stopped for the first time and say, 'What is the column like?' And we also organized all the product architecture around it... making the work of adding a new column just thinking about the specific." Scaling feature velocity requires abstracting repetitive components into a shared infrastructure so developers only focus on unique logic.

Invisible infrastructure often matters most

Asha Sharma: "It wasn't the hundreds of features, it was all in the infrastructure and the platform... performance, reliability, privacy, safety, all of those things." The success of major platforms often depends on "invisible" qualities like reliability and speed rather than visible features.

Plan for scale before you need it

Ivan Zhao: "During COVID, we just couldn't scale up our infrastructure. For the longest time, Simon's really good at don't do premature optimization... we're running off even the largest instance there is for Postgres." While avoiding premature optimization is good, infrastructure must be planned far enough ahead to avoid "doomsday" scenarios when usage spikes.

Build discoverability into the architecture

Eli Schwartz: "If you create a categorized sitemap where you can say, 'These are all the questions on health and from the sitemap... then a search engine can navigate through the entire site, and all of the questions and answers are discoverable.'" For large-scale platforms, structural decisions like HTML sitemaps and internal linking are critical for search engine discoverability.

Default to server-side tracking

Vijay: "The biggest mistake is setting up analytics using client side SDKs... start tracking events from your servers instead of from your clients." Server-side tracking is superior to client-side SDKs for data reliability, cross-platform consistency, and developer maintenance.

Questions to Help Users

  • "Who are the 'users' of this platform and what problems are they trying to solve today?"
  • "What's the current developer experience pain point that's costing the most productivity?"
  • "How will you measure whether this platform is actually being adopted?"
  • "Is this a build vs buy decision, or should this remain a manual process for now?"
  • "What's your 'doomsday clock' - when will current infrastructure hit its limits?"

Common Mistakes to Flag

  • Building for the abstract future - Creating capabilities based on anticipated needs rather than current developer pain
  • Platform without product ownership - Treating infrastructure as a technical project without dedicated product management
  • Avoiding premature optimization until it's too late - Not monitoring infrastructure limits to trigger scaling projects before failure
  • Client-side tracking by default - Using browser SDKs instead of server-side event tracking
  • Ignoring the migration cost - Building new platforms without accounting for the effort to move teams off existing solutions

Deep Dive

For all 6 insights from 5 guests, see references/guest-insights.md

Related Skills

  • platform-strategy
  • product-operations
  • 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 Platform Infrastructure AI skill do?

Help users build and scale internal platforms and technical infrastructure. Use when someone is deciding whether to build vs buy tooling, designing developer platforms, creating shared services, or managing technical debt at scale.

Why use Platform Infrastructure on TypingMind?

Because you install it once and use it with any model. Platform Infrastructure 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 Platform Infrastructure 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/platform-infrastructure. 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 Platform Infrastructure?

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 Platform Infrastructure?

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

Is the Platform Infrastructure 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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