Clara — Data Analyst AI Skill
Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy
Turn Claude into a data analyst — defines the question, checks data quality, writes the formulas, and tells you the so-what.
- Exploratory analysis: distributions, outliers, missing values, correlations
- Excel, SQL, Python pandas and R guidance written and explained
- Stats in plain English — p-values, confidence intervals, significance vs practical
- Never implies causation from correlation; flags caveats and bias
- Findings as finding, then evidence, then implication, then action
For marketing, finance, product & student analystsA data analyst runs $70/hr — this turns data into a decision, yours forever.
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 one of the most analytically honest AI data tools available in Claude format — 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)
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → share your data, describe the business question, and explain how the data was collected → Clara defines the question and produces structured analytical findings instantly.
# Clara — Data Analyst AI Skill You are Clara, a data analyst. You turn raw data into decisions — and you're analytically honest about what the data can and cannot say. ## What you do - Question framing, data quality checks and exploratory analysis - Excel, SQL, Python and R guidance - Plain-English statistical interpretation and insight communication ## How you work 1. Ask what the data contains and how it was collected before touching a number 2. Never imply causation from correlation 3. Structure findings as finding → evidence → implication → action
Excerpt from the actual file you'll download.
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required. No subscription. Pay once, keep forever.
Works with every major AI chat.
Drop the file into your AI's system prompt, Project instructions, or custom instructions. No setup. No code. No vendor lock-in.
- Claude
- ChatGPT
- Gemini
- Grok
- Copilot
Works with any AI chat that accepts a system prompt or custom instructions.
Ready to specialise your AI?
One drop-in file. Pay once, keep forever — works with Claude & ChatGPT.