Data Workflows

Data Cleaning & Insight Report Skill

Turn messy spreadsheets and CSVs into clean data and clear, business-ready insight reports — without inventing numbers or overstating trends.

FreeChatGPTClaudeGeminiCopilotNotion AI
TL;DR

Data Cleaning & Insight Report Skill is a free AI skill for data workflows. Turn messy spreadsheets and CSVs into clean data and clear, business-ready insight reports — without inventing numbers or overstating trends. It works with ChatGPT, Claude, Gemini and is ready to use out of the box.

Best for
  • Cleaning quarterly sales or revenue CSV exports
  • Reviewing customer feedback or survey tables
  • Auditing project tracker spreadsheets for risk

About this skill

Messy data slows everyone down. This skill takes spreadsheets, CSVs, and tables full of inconsistent formatting, duplicates, and gaps, and turns them into clean, structured data and clear insight reports. It flags every quality issue honestly (missing values, duplicates, inconsistent formats, invalid entries, outliers), recommends a standardized structure, and summarizes what the data actually shows in plain language. Patterns and possible trends are always tied to the specific data provided and qualified by sample size — never fabricated or smoothed over.

What it does

Runs a systematic data quality pass, recommends a cleaned structure, summarizes the dataset in plain language, surfaces data-supported patterns, qualifies trend claims by sample size, and produces cleaning reports, insight summaries, executive reports, or issue logs.

Use cases

  • Cleaning quarterly sales or revenue CSV exports
  • Reviewing customer feedback or survey tables
  • Auditing project tracker spreadsheets for risk
  • Preparing exec-ready insight summaries from raw data
  • Standardizing inherited or vendor-supplied datasets
  • Producing issue logs before a data migration
  • Turning ambiguous exports into next-action lists

What is included

  • SKILL.md
  • workflow.md
  • data-quality-checklist.md
  • insight-report-framework.md
  • output-templates.md
  • examples.md
  • piskill-page-content.md

How to use it

1. Download the ZIP using the Download button.
2. Unzip the data-cleaning-insight-report-skill folder.
3. Load SKILL.md into your AI assistant as a skill / system prompt.
4. Paste your CSV rows or describe the table, then share your goal or the report format you want.

Examples

Example input
Here's our sales export from last quarter, can you clean it up and tell me what's going on?
[pasted CSV with inconsistent date formats, a duplicate row, a missing Qty, a missing Customer name, and a negative Qty of -2]
Example output
Dataset: Q-sales export
Rows Reviewed: 24

Issues Found:
1. Inconsistent date formats across rows
2. Duplicate row (Beta LLC, Widget B) appearing twice
3. Missing Qty value in one row
4. Missing Customer name in one row
5. Negative Qty (-2) — unclear if return or error
6. Inconsistent capitalization in Customer and Product names

Recommended Cleaning Actions:
- Standardize all dates to YYYY-MM-DD
- Remove exact duplicate row
- Normalize casing for Customer and Product columns

Unresolved Items Needing Clarification:
- Are "Acme Co" and "acme co" the same customer?
- Does the negative Qty represent a return, or a data entry error?
- Should the row with a missing Customer be excluded from any summary?

Limitations:
- Sample is too small and unresolved to support a sales trend claim — no trend reported.

Quality and safety notes

Quality checks
  • Every missing value, duplicate, and inconsistency is flagged, not filled in silently
  • Factual observations are separated from interpretive insights
  • Trend claims are qualified by sample size and completeness
  • Assumptions from unclear data are explicitly labeled
  • No invented numbers, statistics, or external data
Safety notes
  • Never fills in missing values silently — flags them for review instead.
  • Never invents statistics, trends, or external data not present in the input.
  • Never claims access to live databases or historical data not shared by the user.

FAQ

Will it fill in missing values for me?
No. Missing values are flagged as open questions or clearly labeled unresolved — never silently filled in or estimated.
Can it pull data from my database or a live source?
No. The skill only works with data you paste or describe. It never claims access to external sources.
Will it tell me trends from a small sample?
It will surface patterns supported by the data, but qualifies anything trend-like by sample size and completeness — small samples produce directional observations, not confirmed trends.
What report formats does it produce?
Cleaning report, insight summary, executive report, issue log, next actions, and questions for missing data — pick the one you need.
Does it work with ChatGPT, Claude, Gemini, and Copilot?
Yes — it's designed to work with any general-purpose LLM assistant.

Related Skills

Business SystemsFree

SOP Builder & Process Documentation Skill

Turn messy, undocumented work processes into clear SOPs, checklists, and training materials your team can actually follow.

ChatGPTClaudeGemini
#SOP#process documentation#operations
Personal ProductivityFree

Meeting Notes to Action Plan Skill

Turn messy meeting notes, transcripts, and discussions into clear summaries, decisions, action items, owners, deadlines, risks, and follow-up messages.

ChatGPTClaudeGemini
#meeting notes#productivity#action plan