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Behavioral Product Design

Community
cnfeat
behavioral-product-design

Help users apply behavioral science to product design. Use when someone is designing for habit formation, reducing friction, applying psychology to UX, increasing retention through behavioral principles, or using nudges to influence user behavior.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namebehavioral-product-design
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 Behavioral Product Design 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/behavioral-product-design
  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 Behavioral Product Design 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 Behavioral Product Design 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 Behavioral Product Design 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.

Behavioral Product Design

Help the user apply behavioral science principles to product design using insights from behavioral economists and product leaders.

How to Help

When the user asks for help with behavioral design:

  1. Understand the target behavior - Ask what action they want users to take
  2. Identify behavioral barriers - Help diagnose what's preventing the desired behavior
  3. Suggest relevant principles - Apply behavioral economics concepts like loss aversion, present bias, or status quo effect
  4. Design interventions - Help create features that leverage these psychological principles

Core Principles

Loss aversion drives retention

Jackson Shuttleworth: "Once you hit seven days, loss aversion kicks in, and you retain." Design experiences that create something users feel they'd lose by leaving.

Apply psychology to real problems

Kristen Berman: "Behavioral science uses insights on psychology to apply within real world problems—biases like present bias, status quo effect, and uncertainty aversion can be designed into product features to drive specific actions."

Create pause moments

Use haptics, animations, and micro-interactions to create celebration moments that reinforce positive behavior. The "bend not break" philosophy means meeting users where they are rather than demanding perfection.

Reduce friction for desired behaviors

Every tap, every field, every decision point is friction. Behavioral design means ruthlessly removing friction from the paths you want users to take while adding appropriate friction to prevent mistakes.

Leverage defaults

Users tend to stick with default options. Set smart defaults that guide users toward successful outcomes.

Questions to Help Users

  • "What specific behavior are you trying to encourage?"
  • "What's preventing users from taking this action today?"
  • "Where in the flow do users drop off?"
  • "What would users feel they're losing if they stopped using this?"
  • "Have you identified the key habit loop (cue, routine, reward)?"

Common Mistakes to Flag

  • Dark patterns - Behavioral design should help users achieve their goals, not manipulate them against their interests
  • Over-engineering friction - Sometimes simple solutions beat clever psychological tricks
  • Ignoring context - Behavioral principles work differently across cultures and user segments
  • Assuming stated preferences - What users say they'll do and what they actually do are different

Deep Dive

For all 2 insights from 2 guests, see references/guest-insights.md

Related Skills

  • User Onboarding
  • Retention & Engagement
  • Designing Growth Loops
  • Conducting User Interviews

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 Behavioral Product Design AI skill do?

Help users apply behavioral science to product design. Use when someone is designing for habit formation, reducing friction, applying psychology to UX, increasing retention through behavioral principles, or using nudges to influence user behavior.

Why use Behavioral Product Design on TypingMind?

Because you install it once and use it with any model. Behavioral Product Design 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 Behavioral Product Design 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/behavioral-product-design. 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 Behavioral Product Design?

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 Behavioral Product Design?

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

Is the Behavioral Product Design 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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