Skip to content
TrustedSkillsbeta
Back to all skills

Metrics Normalization Formatter

Checked
archive-dot-com·vlatest·marketing

This tool converts complex metric data into a standardized format for easier comparison and analysis, improving reporting accuracy.

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 archive-dot-com/creator-marketing-skills --skill metrics-normalization-formatter -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

archive-dot-com

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 archive-dot-com/creator-marketing-skills at ecaf7cf795.

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

Commit
ecaf7cf795
Manifest
skills/metrics-normalization-formatter/SKILL.md
Scanned
1 file, 310 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 Metrics Normalization Formatter skill takes raw metric data (like website traffic, conversion rates, or social media engagement) and transforms it into a standardized format. It can handle various input types and scales them to a consistent range, making comparisons across different metrics easier. This allows for more informed decision-making based on aggregated performance indicators.

When to use it

  • Comparing marketing channel performance: Normalize data from Google Ads, Facebook Ads, and email campaigns to see which is most effective.
  • Tracking progress over time: Standardize monthly website traffic numbers with quarterly sales figures for a holistic view of business growth.
  • Benchmarking against industry standards: Scale your metrics to compare them to average values in your sector.
  • Creating dashboards and reports: Format data consistently for clear visualization and presentation.

Key capabilities

  • Handles various metric types (traffic, conversions, engagement)
  • Scales data to a consistent range (e.g., 0-1 or -1 to 1)
  • Supports different normalization methods (min-max scaling, z-score standardization)
  • Provides formatted output suitable for dashboards and reports

Example prompts

  • "Normalize website traffic and conversion rate data from the last quarter."
  • "Scale these metrics: [list of metrics] using min-max scaling to a range between 0 and 1."
  • “Format this data into a standardized report ready for presentation.”

Tips & gotchas

The skill requires clear input data with appropriate labels. Ensure your metric values are numerical; non-numerical data will cause errors.