retention-engagement

refoundai/lenny-skills · updated Apr 8, 2026

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$npx skills add https://github.com/refoundai/lenny-skills --skill retention-engagement
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summary

Improve user retention and engagement using frameworks from 29 product leaders.

  • Guides you through understanding retention curves, identifying aha moments, and assessing habit-formation potential to diagnose where users drop off
  • Emphasizes that retained users should experience mounting loss (data, customization, social connections) and that products must improve with use to create stickiness
  • Highlights onboarding as the highest-leverage retention investment and daily return as the cr
skill.md

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
how to use retention-engagement

How to use retention-engagement on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add retention-engagement
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/refoundai/lenny-skills --skill retention-engagement

The skills CLI fetches retention-engagement from GitHub repository refoundai/lenny-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/retention-engagement

Reload or restart Cursor to activate retention-engagement. Access the skill through slash commands (e.g., /retention-engagement) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.626 reviews
  • Isabella Lopez· Dec 28, 2024

    We added retention-engagement from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Dhruvi Jain· Dec 20, 2024

    retention-engagement fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Isabella Agarwal· Nov 23, 2024

    Registry listing for retention-engagement matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Isabella Rahman· Nov 19, 2024

    retention-engagement reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Nov 11, 2024

    Registry listing for retention-engagement matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nikhil Yang· Nov 11, 2024

    Solid pick for teams standardizing on skills: retention-engagement is focused, and the summary matches what you get after install.

  • Benjamin Desai· Oct 14, 2024

    retention-engagement reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Lucas Liu· Oct 10, 2024

    Registry listing for retention-engagement matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ganesh Mohane· Oct 2, 2024

    retention-engagement reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Isabella Haddad· Oct 2, 2024

    retention-engagement has been reliable in day-to-day use. Documentation quality is above average for community skills.

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