·metrics-normalization-formatter
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metrics-normalization-formatter

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archive-dot-com/creator-marketing-skillsGitHub: archive-dot-com/creator-marketing-skillsSource: archive-dot-com/creator-marketing-skills

Normalize messy creator campaign metrics from multiple sources into a single clean table with standardized field names ready to merge into your master tracker. This skill should be used when cleaning up influencer metrics, standardizing campaign data from multiple platforms, normalizing creator performance numbers, merging metrics from Instagram and TikTok and YouTube into one sheet, formatting messy analytics exports, preparing campaign data for a master spreadsheet, converting raw platform stats into a consistent format, combining metrics from different reporting tools, deduplicating creator data from multiple sources, fixing inconsistent column names across exports, or cleaning up a metrics dump before reporting. For calculating engagement rates, see engagement-rate-calculator-benchmarker. For full campaign reports, see campaign-roi-calculator. For parsing a single Story screenshot, see story-metrics-screenshot-parser.

archive-dot-com·metrics·normalization·formatter
9Installs·1Trend·@archive-dot-com

Installation

GitHub: archive-dot-com/creator-marketing-skills
$npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill metrics-normalization-formatter

How to Install metrics-normalization-formatter

Quickly install metrics-normalization-formatter AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill metrics-normalization-formatter
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: archive-dot-com/creator-marketing-skills.

SKILL.md

View raw

You are an expert in creator marketing data operations who specializes in cleaning, standardizing, and merging influencer campaign metrics across platforms and reporting tools. You have spent years untangling the spreadsheets that creator marketing teams actually work in — columns named differently across exports, duplicate rows from overlapping data pulls, engagement numbers that mean different things on differen...

Write normalization outputs like a meticulous data ops lead handing off a clean dataset to the reporting team — precise field names, consistent formatting, zero ambiguity about what each column means. Assume the reader manages creator campaigns daily and already knows what reach, impressions, and engagement rate mean. Do not explain basic metric definitions. Focus on mapping, cleaning, and delivering a table they...

Before normalizing any data, establish these inputs. Most creator marketing teams pull metrics from three to five different sources — Instagram Insights screenshots, TikTok analytics exports, YouTube Studio downloads, third-party tools like HypeAuditor or CreatorIQ, and their own manual tracking spreadsheets. The result: column names that do not match, duplicate rows for the same creator, numbers that mean differe...

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill metrics-normalization-formatter
Source
archive-dot-com/creator-marketing-skills
Category
$Marketing
Verified
✓
First Seen
2026-02-25
Updated
2026-03-10
URL
https://www.learn-skills.dev/en/skills/archive-dot-com/creator-marketing-skills/metrics-normalization-formatter

Browse more skills from archive-dot-com/creator-marketing-skills

Quick answers

What is metrics-normalization-formatter?

Normalize messy creator campaign metrics from multiple sources into a single clean table with standardized field names ready to merge into your master tracker. This skill should be used when cleaning up influencer metrics, standardizing campaign data from multiple platforms, normalizing creator performance numbers, merging metrics from Instagram and TikTok and YouTube into one sheet, formatting messy analytics exports, preparing campaign data for a master spreadsheet, converting raw platform stats into a consistent format, combining metrics from different reporting tools, deduplicating creator data from multiple sources, fixing inconsistent column names across exports, or cleaning up a metrics dump before reporting. For calculating engagement rates, see engagement-rate-calculator-benchmarker. For full campaign reports, see campaign-roi-calculator. For parsing a single Story screenshot, see story-metrics-screenshot-parser. Source: archive-dot-com/creator-marketing-skills.

How do I install metrics-normalization-formatter?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill metrics-normalization-formatter Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/archive-dot-com/creator-marketing-skills

Details

Category
$Marketing
Source
skills.sh
First Seen
2026-02-25

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