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Retention Analysis

Checked
liangdabiao·vlatest·marketing

Analyzes customer behavior patterns to predict churn risk and identify factors impacting retention rates.

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 liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -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

liangdabiao

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 liangdabiao/claude-data-analysis-ultra-main at 6b52856848.

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

Commit
6b52856848
Manifest
.claude/skills/retention-analysis/SKILL.md
Scanned
9 files, 2,043 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 analyzes user retention data to identify trends and patterns in how long users continue using a product or service. It can calculate key metrics like churn rate, cohort analysis, and lifetime value. The tool provides insights into factors influencing user retention and helps guide strategies for improving engagement and reducing customer loss.

When to use it

  • Identify Churn Drivers: Analyze why users are leaving your platform by examining retention patterns across different cohorts or time periods.
  • Evaluate Feature Impact: Determine if a recent feature release has positively or negatively impacted user retention rates.
  • Optimize Onboarding: Understand how effective the initial onboarding process is, and identify areas for improvement to increase long-term engagement.
  • Predict Future Retention: Forecast future retention trends based on historical data and current usage patterns.

Key capabilities

  • Calculates churn rate.
  • Performs cohort analysis.
  • Estimates lifetime value (LTV).
  • Identifies factors influencing user retention.

Example prompts

  • "Analyze user retention for the last 3 months, segmented by signup date."
  • “Show me a cohort analysis of users who signed up in January.”
  • "What is the churn rate for free vs. paid users?"

Tips & gotchas

The skill requires access to historical user data including sign-up dates and usage activity. Ensure your data is properly formatted and accessible for accurate results.