ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified

Spreadsheet & Data Wrangling 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.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/1kalin/afrexai-spreadsheet-master
Or

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

  issues_found: []     # list every problem before fixing anything

First 10 Questions to Ask

  1. How many rows and columns?
  2. What does each row represent? (one customer? one transaction? one day?)
  3. Are there header rows? Multiple header rows? Merged cells?
  4. What are the data types? (dates, currencies, percentages, IDs, free text)
  5. How much is missing? Which columns?
  6. Are there duplicates? By which key?
  7. Is there a unique identifier column?
  8. What date format? (MM/DD/YYYY vs DD/MM/YYYY vs YYYY-MM-DD vs mixed)
  9. What currency/number format? (1,000.00 vs 1.000,00 vs 1000)
  10. Where did this data come from and how often is it updated?

Phase 2: Data Cleaning Decision Tree

Step-by-Step Cleaning Protocol

Metadata

Author@1kalin
Stars3917
Views1
Updated2026-04-08
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-1kalin-afrexai-spreadsheet-master": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags

#spreadsheet#excel#csv#data#cleanup#reporting#dashboard#analytics#automation#google-sheets
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.