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Growth Model Analyzer

Checked
liangdabiao·vlatest·marketing

Analyzes marketing campaign data to predict future growth trends and identify optimization opportunities using advanced modeling techniques.

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 growth-model-analyzer -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/growth-model-analyzer/SKILL.md
Scanned
12 files, 4,007 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

The Growth Model Analyzer skill evaluates the performance of growth models, identifying key areas for improvement. It analyzes model inputs and outputs to pinpoint bottlenecks and inefficiencies. This allows users to optimize their growth strategies by understanding which factors are most impactful.

When to use it

  • Diagnose slow growth: Identify why a marketing campaign isn't performing as expected.
  • Optimize resource allocation: Determine where to focus efforts for maximum impact on key metrics.
  • Evaluate model effectiveness: Assess the overall health and potential of a current growth model.
  • Compare different models: Analyze multiple growth models side-by-side to determine which performs best.

Key capabilities

  • Model performance evaluation
  • Bottleneck identification
  • Input/output analysis
  • Inefficiency detection

Example prompts

  • "Analyze the growth model for our email marketing campaign and identify bottlenecks."
  • "Compare the performance of Growth Model A versus Growth Model B, highlighting key differences."
  • "What are the most impactful factors influencing user acquisition in our current growth model?"

Tips & gotchas

The accuracy of the analysis depends on the quality and completeness of the data provided as input to the skill. Ensure your growth model data is well-structured and representative for best results.