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Retention Engagement

Checked
refoundai·vlatest·marketing·MIT

Boost customer loyalty by proactively identifying at-risk users and triggering personalized engagement strategies to prevent churn – a vital tool for growth.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add refoundai/lenny-skills --skill retention-engagement -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

refoundai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned refoundai/lenny-skills at 13598cc54e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
13598cc54e
Manifest
skills/retention-engagement/SKILL.md
Scanned
3 files, 2,232 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill helps AI agents improve user retention and engagement. It provides strategies for keeping users active and returning to a product or service, focusing on personalized experiences and proactive support. The skill aims to reduce churn and increase overall user lifetime value through targeted interventions.

When to use it

  • Identify at-risk users: Use the skill to proactively identify users likely to churn based on usage patterns.
  • Personalize onboarding flows: Tailor initial user experiences to maximize engagement from the start.
  • Re-engage inactive users: Design targeted campaigns to bring back users who haven't been active recently.
  • Improve feature adoption: Encourage users to explore and utilize key features that drive long-term value.

Key capabilities

  • User churn prediction
  • Personalized engagement strategies
  • Proactive support recommendations
  • Onboarding flow optimization

Example prompts

  • "Identify users at high risk of churning in the last week."
  • "Suggest a personalized onboarding flow for new users who haven't completed setup."
  • "Generate a re-engagement campaign for users inactive for more than 30 days."
  • "What features are underutilized by our user base, and how can we encourage adoption?"

Tips & gotchas

The skill’s effectiveness relies on having sufficient user data available. Ensure your AI agent has access to relevant usage metrics and user profiles for accurate predictions and personalized recommendations.