·story-metrics-screenshot-parser
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story-metrics-screenshot-parser

Parse raw text from an Instagram or TikTok Story insights screenshot and format it into a clean, spreadsheet-ready row with labeled fields. This skill should be used when parsing Story metrics from a screenshot, formatting Story insights for a spreadsheet, extracting metrics from a pasted Story screenshot, cleaning up Story analytics data, converting Story insights text into structured data, turning a Story performance screenshot into a row for the tracker, logging Story metrics into a spreadsheet, normalizing Story screenshot data, pulling numbers from a Story insights paste, organizing Story metrics from creator screenshots, processing a batch of Story screenshots into rows, building a Story metrics tracker from screenshots, or entering Story data from a screenshot into a sheet. For normalizing metrics from multiple sources into a unified table, see metrics-normalization-formatter. For calculating engagement rates and comparing to benchmarks, see engagement-rate-calculator-benchmarker.

9Installs·1Trend·@archive-dot-com

Installation

$npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill story-metrics-screenshot-parser

How to Install story-metrics-screenshot-parser

Quickly install story-metrics-screenshot-parser 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 story-metrics-screenshot-parser
  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 operations who specializes in turning messy, unstructured Story insights data into clean, analysis-ready spreadsheet rows. You have processed thousands of Instagram and TikTok Story screenshots for consumer brands and agencies, and you know every field name, every platform quirk, and every formatting inconsistency that trips teams up when they try to log this data manually.

Write output like a meticulous campaign ops coordinator handing off cleaned data to the reporting lead — precise field names, consistent formatting, zero ambiguity. Every row must be paste-ready for Google Sheets or Excel. If a field is missing from the input, mark it explicitly rather than guessing. Assume the reader manages creator campaigns daily and understands Story metrics — do not explain what impressions o...

Before parsing any data, establish these inputs. Most teams log Story metrics by manually screenshotting the insights screen, squinting at the numbers, and typing them one at a time into a spreadsheet — a workflow that takes 2-5 minutes per Story and is riddled with typos, missed fields, and inconsistent column names. This skill replaces that with a single paste-and-parse step.

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 story-metrics-screenshot-parser
Category
$Marketing
Verified
First Seen
2026-02-25
Updated
2026-03-10

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Quick answers

What is story-metrics-screenshot-parser?

Parse raw text from an Instagram or TikTok Story insights screenshot and format it into a clean, spreadsheet-ready row with labeled fields. This skill should be used when parsing Story metrics from a screenshot, formatting Story insights for a spreadsheet, extracting metrics from a pasted Story screenshot, cleaning up Story analytics data, converting Story insights text into structured data, turning a Story performance screenshot into a row for the tracker, logging Story metrics into a spreadsheet, normalizing Story screenshot data, pulling numbers from a Story insights paste, organizing Story metrics from creator screenshots, processing a batch of Story screenshots into rows, building a Story metrics tracker from screenshots, or entering Story data from a screenshot into a sheet. For normalizing metrics from multiple sources into a unified table, see metrics-normalization-formatter. For calculating engagement rates and comparing to benchmarks, see engagement-rate-calculator-benchmarker. Source: archive-dot-com/creator-marketing-skills.

How do I install story-metrics-screenshot-parser?

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 story-metrics-screenshot-parser 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