Data Analyst, Clara AI skill by KissMySkills, cover

Clara - Data Analyst AI Skill

$19.00
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Data Analyst, Clara AI skill by KissMySkills, cover

Clara - Data Analyst AI Skill

Turn Claude into a data analyst - defines the question, checks data quality, writes the formulas, and tells you the so-what.

$19.00 this skill one payment yours forever

Claude skill package instant downloadclara-data-analyst-ai-skill.skill

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$9/mo or $59 a year

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  • Works inside Claude, ChatGPT and Cursor through one connector
  • Every skill, prompt pack and agent, plus AI CRM and tools during the trial
  • Cancel anytime
Why a subscription? How it works

Need just this skill?

One file, paid once. No updates, no connector.

Costs about the same as 2 months of Library.

$19

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How it works

Ask Clara something hard.

📎 clara-data-analyst-ai-skill.skillLOADED ✓
CEO asks why signups dropped 18% in March. GA4, Stripe and our own Postgres each tell a different story. Where do I start?
CLAUDE · AS CLARA, DATA ANALYST Reconcile the metric definitions before anything else - GA4 counts events, Stripe counts paying conversions, your DB counts rows, so an 18% 'drop' can be a tracking change wearing a trend costume. Check GA4 for a consent-mode or tag release in late February, then cohort DB signups by channel and week. Roughly half of these cases turn out to be measurement, half are one channel cratering - paid search more often than not. Send me weekly numbers by source and I'll tell you which story is real.

Or have every skill inside your AI.

0:16 · no sound
Get all 2,500+ with Library · $9/mo →

Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com

// the file itself

Read it before you buy it.

The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.

Use the name
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on

You are Clara, a Senior Data Analyst with 8 years across marketing, finance, HR, healthcare and product teams. You have been activated to help the user turn a messy dataset into an answer someone can act on.

SKILL.md · 146 lines · instant download

// what's inside

What's inside this skill

  1. Exploratory analysis: distributions, outliers, missing values, correlations
  2. Excel, SQL, Python pandas and R guidance written and explained
  3. Stats in plain English - p-values, confidence intervals, significance vs practical
  4. Never implies causation from correlation; flags caveats and bias
  5. Findings as finding, then evidence, then implication, then action

For marketing, finance, product & student analysts

// two ways to get it

Use it inside your AI, or download it once.

Library plan

This skill and 2,500+ others, inside your chat

$9/mo cancel anytime, or $59 a year

  • All 2,500+ skills, prompt packs and agents, loaded the moment you ask
  • Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
  • New skills every week and 10 catalog files a month to download
Compare Library, AI CRM and Both
Buy once

Just this skill, as a file

$19 one payment

  • Download after checkout and paste it into any AI chat
  • One file, no updates, no connector
  • 30-day money-back guarantee

Already on Library or Both? This one is included, no need to buy the file.

// ask your assistant

Or let your AI set up this skill for you.

Go to kissmyskills.com/pages/connector and set up the "Clara - Data Analyst AI Skill" skill (handle: clara-data-analyst-ai-skill) for me

Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →

What you're actually buying

Drop Clara into Claude and get a Data Analyst who turns raw data into clear, actionable insights - defining the analytical question, assessing data quality, producing exploratory analysis, writing Excel and SQL formulas, interpreting statistical results in plain English, and communicating findings as a clear story with a "so what" and a recommended action.

Clara is built for marketing teams, finance functions, HR analysts, product teams, and students across every industry where data needs to become a decision. She never implies causation from correlation, always flags statistical caveats, and is explicit about the limits of what small samples, missing data, or selection bias allow you to conclude. Analysis without data context produces wrong answers - she always asks what the data contains, how it was collected, and what you are trying to answer before touching a single number.

What you get

  • → Analytical question definition and data quality assessment - precise question framing from business or research problems, data completeness and consistency checks, identification of what can and cannot be answered from available data, and honest flagging of limitations before analysis begins
  • → Exploratory data analysis - distributions, central tendencies, spread, outlier and anomaly detection, missing value identification, pattern and correlation identification, and initial findings that tell you what the data actually contains before jumping to conclusions
  • → Excel, SQL, Python, and R guidance - Excel and Google Sheets formula writing (VLOOKUP, XLOOKUP, SUMIFS, pivot tables), SQL query writing and explanation for SELECT, GROUP BY, JOIN, and aggregate functions, Python pandas DataFrame operations and groupby, and R summary statistics for research data
  • → Statistical interpretation in plain English - p-values, confidence intervals, and sample size explained in context, statistical significance vs practical significance distinguished, correlation vs causation enforced without exception, and A/B test results interpreted correctly so decisions are made on real evidence
  • → Insight communication - analytical findings structured as finding → evidence → implication → action, visualisation recommendations matched to data type and audience, and data commentary written so non-analysts understand what the numbers mean and what to do next
  • → Industry-specific analysis - survey data (Likert scales, cross-tabs, response bias), financial data (revenue trends, margin analysis, variance commentary), marketing analytics (campaign performance, funnel analysis, attribution), HR analytics (survey results, retention, headcount), and academic dissertation data (descriptive statistics, results interpretation)

Data Cleaning Checklist & Anomaly Detection Recipes

Clara cleans the export before she analyses it, then checks the numbers for anomalies, with recipes for Google Sheets, Excel, pandas and SQL.

  • CSV cleaning checklist: ten checks from delimiter and encoding to duplicates, text-as-numbers, dates, hidden blanks and a reconciled total, each with a Sheets/Excel formula and a pandas line
  • CSV to pivot table: Google Sheets pivot and QUERY, Excel Tables and pandas pivot_table, with a margin total that must match the cleaned data
  • Anomaly detection recipe: rule out data problems first, then IQR fences, robust z-scores or a same-weekday baseline, with formulas, pandas and SQL code
  • Anomaly log: every flag sorted into data artefact, known cause or unexplained, with the next step
// how to install Under 2 minutes

Four steps. Any AI chat.

  1. 01
    Download the file

    After checkout, the download link lands in your inbox. Save the .skill file as it is - no need to unzip it.

  2. 02
    Open your AI chat

    Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.

  3. 03
    Add it to your AI

    Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: unzip it and paste SKILL.md into custom instructions or Project instructions.

  4. 04
    Start working

    Your AI is now configured as a specialist. Ask it anything inside its domain.

No technical knowledge required.

With Library there is nothing to download. Connect your AI once, then just ask: "Load Clara from KissMySkills."

Setup guide → Library · $9/mo →

// faq

Questions about this product

What data analysis does Clara perform?+

Clara turns raw data into clear, actionable insights - defining the analytical question, assessing data quality, producing exploratory analysis, writing Excel and Python code for your specific dataset, and translating findings into plain-language recommendations.

Can Clara clean a messy CSV and find anomalies in my data?+

Yes. The skill includes a ten-point CSV data cleaning checklist with Google Sheets, Excel and pandas recipes, a recipe for turning the cleaned file into a pivot table, and an anomaly detection recipe (IQR fences, robust z-score, same-weekday baseline) with formulas, pandas and SQL code. Clara rules out data problems first and sorts every flag into data artefact, known cause or unexplained.

How do I install Clara?+

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does Clara work with?+

Works with Claude (recommended), ChatGPT, and any AI chat accepting system prompts. Claude's reasoning and code generation capability makes it the strongest choice for Clara's data analysis workflow.

Ready to give your AI a specialist?

This one and 2,500+ others, inside Claude, ChatGPT or Cursor. Cancel anytime.