afrexai-spreadsheet-master
Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.
Best for data cleanup tasksWorks with GitHubLow risk
⌘source
- author
@LeoYeAI- language
- Python
★2kstars
306forks
May 6, 2026
✦overview.md
Key Features
- ·Data intake & health assessment
- ·Works with CSV, Excel, Google Sheets
- ·Scoring system for data quality
- ·Phase-based methodology
Use Cases
- →Clean messy CSV files before analysis
- →Assess data quality for a new dataset
- →Build a repeatable data wrangling pipeline
Best for
- ✓data cleanup tasks
- ✓initial data assessment
Not ideal for
- !final output generation
- !automated reporting
name
Spreadsheet & Data Wrangling Master
description
Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.
slug:afrexai-spreadsheet-master
version:1.0.0
tags:spreadsheet, excel, csv, data, cleanup, reporting, dashboard, analytics, automation, google-sheets
Spreadsheet & Data Wrangling Master
Turn messy data into clean insights, automated reports, and decision-ready dashboards. Platform-agnostic — works with CSV, Excel, Google Sheets, or any tabular format.
Phase 1: Data Intake & Assessment
Before touching any data, assess what you have.
Quick Health Check (score /20)
data_intake:
source: "" # file path, URL, API, database, manual entry
format: "" # CSV, XLSX, TSV, JSON, clipboard paste
rows: 0
columns: 0
file_size: ""
encoding: "" # UTF-8, Latin-1, Windows-1252, etc.
delimiter: "" # comma, tab, pipe, semicolon
health_score: # rate each 0-4, total /20
completeness: 0 # 4=<1% missing, 3=<5%, 2=<15%, 1=<30%, 0=>30%
consistency: 0 # 4=uniform types, 3=minor mixed, 2=significant mixed, 1=chaotic, 0=unusable
accuracy: 0 # 4=verified, 3=plausible, 2=some outliers, 1=many errors, 0=untrustworthy
freshness: 0 # 4=real-time, 3=<24h, 2=<7d, 1=<30d, 0=stale/unknown
structure: 0 # 4=tidy (1 row=1 obs), 3=minor reshaping, 2=pivot needed, 1=multi-header, 0=freeform
$install
1-click copynpx skills add LeoYeAI/openclaw-master-skills --skill afrexai-spreadsheet-masterSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
2/ 5
fairThe main idea is there, but the wording is messy and easy to misinterpret.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
2/ 5
lowSome hints are present, but an agent still has to guess many steps.