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Retention Engagement

Community
cnfeat
retention-engagement

Help users improve retention and engagement metrics. Use when someone is dealing with churn, optimizing activation flows, building habit-forming products, or trying to increase user engagement and lifetime value.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameretention-engagement
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 Retention Engagement 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/retention-engagement
  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 Retention Engagement 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 Retention Engagement 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 Retention Engagement 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.

Retention & Engagement

Help the user improve retention and engagement using frameworks from 29 product leaders.

How to Help

When the user asks for help with retention:

  1. Understand the retention curve - Ask about their current retention shape and where drop-off occurs
  2. Identify the aha moment - Help them define what first experience of value looks like for their users
  3. Assess habit formation - Determine if they're building for habitual vs. occasional use
  4. Design retention loops - Create mechanisms that compound user value over time

Core Principles

Retention is gold for subscription businesses

Albert Cheng: "User retention is gold for consumer subscription companies. If you don't retain your users, then a lot of the onus is on getting them to pay on day one." Retention reduces pressure for immediate monetization and is the primary driver of subscription success.

Products should get better with use

Sarah Tavel: "The test for me, of whether you're building a product that has the ingredients to create a retentive product on a micro level, just at the user level, is that the product should get better the more you use it, and you'll have more to lose by leaving it." True retention is built when a product creates accruing benefits and mounting loss over time.

Daily return is the biggest problem to solve

Jackson Shuttleworth: "What Duolingo really focuses on is, how do we help users build habits around language learning? Getting user come back the next day is the biggest problem to solve." For habit-forming products, next-day return is the most critical metric to optimize.

Onboarding is the highest-leverage retention investment

Kristen Berman: "I've consistently seen that improving onboarding is one of the highest leverage opportunities for both signup conversion and increasing long term retention. Getting people to your aha moment more quickly and reliably is so incredibly important." Accelerating time to value in onboarding compounds across the entire user lifecycle.

Define your aha moment with data

Hila Qu: "I think [the aha moment] as a moment, as a first time a user experienced value of your product... At GitLab we actually did a bunch of analysis. We ended up have something along the line of two users, two features used in the first 14 days." The aha moment should be defined by data correlation with retention, often involving multi-user or multi-feature milestones.

Create mounting loss

Products that retain well make users feel they have more to lose by leaving. This could be data, customization, social connections, or accumulated history.

Focus on the core loop

Great retention comes from a core product loop that delivers value repeatedly, not from notifications or gamification layered on top of a weak product.

Questions to Help Users

  • "Where in your funnel are you losing the most users? First session? First week? First month?"
  • "What specific action, when completed, correlates most strongly with long-term retention?"
  • "What do retained users have that churned users are missing?"
  • "How does your product get better the more someone uses it?"
  • "What would a user lose if they stopped using your product today?"
  • "How quickly do new users reach your aha moment?"

Common Mistakes to Flag

  • Notification spam - Trying to drive retention through more notifications rather than better product
  • Undefined aha moment - Not knowing what experience correlates with retention
  • Slow time to value - Complex onboarding that delays the first moment of user value
  • No mounting loss - Products that don't accumulate user-specific value over time
  • Optimizing activation over retention - Focusing on getting users in without ensuring they stay

Deep Dive

For all 47 insights from 29 guests, see references/guest-insights.md

Related Skills

  • pricing-strategy
  • product-led-sales
  • problem-definition

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 Retention Engagement AI skill do?

Help users improve retention and engagement metrics. Use when someone is dealing with churn, optimizing activation flows, building habit-forming products, or trying to increase user engagement and lifetime value.

Why use Retention Engagement on TypingMind?

Because you install it once and use it with any model. Retention Engagement 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 Retention Engagement 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/retention-engagement. 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 Retention Engagement?

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 Retention Engagement?

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

Is the Retention Engagement 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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