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Systems Thinking

Community
cnfeat
systems-thinking

Help users think in systems and understand complex dynamics. Use when someone is dealing with multi-stakeholder problems, trying to understand second-order effects, managing platform ecosystems, or analyzing complex organizational dynamics.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namesystems-thinking
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 Systems Thinking 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/systems-thinking
  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 Systems Thinking 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 Systems Thinking 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 Systems Thinking 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.

Systems Thinking

Help the user apply systems thinking to complex problems using frameworks and insights from 6 product leaders.

How to Help

When the user asks for help with systems thinking:

  1. Map the system - Help them identify all players, their incentives, and how they interact with each other
  2. Identify stocks and flows - Understand what accumulates (stocks) and what moves between states (flows)
  3. Trace second-order effects - Work through what happens after the first-order impact of any change
  4. Find leverage points - Identify where small interventions can create large systemic changes

Core Principles

See the system

Seth Godin: "What does it mean to be a strategic thinker? It means to see the system." Understanding the invisible rules, culture, and interoperability that govern how products and organizations succeed or fail is the foundation of strategic thinking.

Think about all players and incentives

Sriram: "Systems thinking. Think of all the players in the system, think of all of their incentives and how they interact with each other." This approach is superior to Jobs-to-be-Done for handling complex product trade-offs and multi-agent incentives.

Use stocks and flows

Will Larson: "Systems thinking is basically you try to think about stocks and flows. Stocks are things that accumulate and flows are the movement from a stock to another thing." Model business processes like hiring pipelines or user funnels using this framework.

Consider second, third, and fourth-order effects

Hari Srinivasan: "The skillsets that you think through and manage in a complicated ecosystem are quite different." Managing complex ecosystems requires understanding effects that cascade beyond the immediate impact.

Think beyond today's decisions

Nickey Skarstad: "Second order thinking is you being able to think beyond the decisions that you're making today." Consider how current decisions impact future constraints and ecosystem dynamics.

Automate recurring pains

Melissa Perri + Denise Tilles: "Tell me about some process you really hated and ended up trying to automate or build a system around to make it better." Identify recurring manual pains and build automated systems or frameworks to solve them.

Questions to Help Users

  • "Who are all the players in this system, and what does each one want?"
  • "If you make this change, what happens next? And then what happens after that?"
  • "What accumulates over time in this system (the stocks), and what flows between states?"
  • "Where are the feedback loops - both reinforcing and balancing?"
  • "What constraint, if removed, would unlock the most value in this system?"
  • "What recurring manual pain could be systematized?"

Common Mistakes to Flag

  • Only seeing first-order effects - Changes ripple through systems in ways that aren't immediately obvious
  • Ignoring incentives - Every player in a system responds to their own incentives, not yours
  • Optimizing locally - Improving one part of a system can make the whole system worse
  • Missing feedback loops - Many systems have self-reinforcing or self-balancing dynamics that amplify or dampen changes
  • Treating symptoms instead of causes - Systems problems often require addressing root causes, not visible symptoms

Deep Dive

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

Related Skills

  • Setting OKRs & Goals
  • Defining Product Vision
  • Platform Strategy
  • Organizational Design

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 Systems Thinking AI skill do?

Help users think in systems and understand complex dynamics. Use when someone is dealing with multi-stakeholder problems, trying to understand second-order effects, managing platform ecosystems, or analyzing complex organizational dynamics.

Why use Systems Thinking on TypingMind?

Because you install it once and use it with any model. Systems Thinking 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 Systems Thinking 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/systems-thinking. 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 Systems Thinking?

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 Systems Thinking?

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

Is the Systems Thinking 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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