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Predictable Revenue

Checked
wondelai·vlatest·marketing·MIT

Predictable Revenue forecasts future sales based on historical data, helping businesses optimize resource allocation and improve financial planning.

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 wondelai/skills --skill predictable-revenue -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

wondelai

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 wondelai/skills at c172996495.

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

Commit
c172996495
Manifest
predictable-revenue/SKILL.md
Scanned
27 files, 7,293 lines
Copies in repo
3 — all of them scanned
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 users understand and apply the principles of "Predictable Revenue," a sales methodology. It can analyze existing sales data to identify patterns, calculate customer lifetime value, and suggest strategies for consistent revenue generation. The tool focuses on understanding how much revenue is generated per customer, not just overall sales numbers.

When to use it

  • Analyzing Sales Data: You have historical sales data and want to understand the underlying trends and predictability of your revenue streams.
  • Calculating Customer Lifetime Value (CLTV): You need a better understanding of how much each customer is worth over time.
  • Improving Sales Forecasting: You're looking for ways to make more accurate predictions about future sales performance.
  • Optimizing Marketing Spend: Determine which marketing efforts are yielding the most predictable and valuable customers.

Key capabilities

  • Sales data analysis
  • Customer Lifetime Value (CLTV) calculation
  • Revenue predictability assessment
  • Strategic recommendations for revenue generation

Example prompts

  • "Analyze my sales data from the last year and tell me how predictable my revenue is."
  • “Calculate the Customer Lifetime Value for my average customer based on this purchase history.”
  • "Based on these customer acquisition costs, what's a reasonable CLTV target?"

Tips & gotchas

The accuracy of the analysis depends heavily on the quality and completeness of the provided sales data. Ensure your data is clean and includes relevant information like purchase dates, amounts, and customer demographics for best results.