All-in-one AI plugin for data scientists
The All-in-One AI Plugin for Data Scientists
One download gives your AI 17 data science skills, 244 prompts and 8 apps, from cleaning messy data to defending your model results.

- 17skills
- 244prompts
- 8apps
- 12Grok bots
What's inside
Your week rarely looks like the job you were hired for. You clean messy exports, fill in missing values, argue about which metric counts, and rewrite the same summary three times. The modeling part is quick. Explaining it to people who do not read code takes the rest of the week.
17 data science skills
Data preprocessing, feature engineering, algorithm selection, model evaluation, statistical analysis, neural network design and image analysis. Each skill walks you through the steps in plain language.
244 ready-made prompts
Fifteen topics, including data preprocessing, feature engineering, model evaluation, big data analysis, predictive analytics and healthcare data. Copy a prompt, add your details, get a structured answer.
8 apps you can build
Notebook analysis and reporting, model training and deployment, test and monitoring, model comparison, and a multi-model text and code workbench. Plans your team can follow without code.
12 expert agent teammates
A data scientist, statistical analyst, machine learning ops engineer, senior data scientist, A/B test designer and more. Each agent covers one part of your work, so you can ask a specialist.
Works in eight AIs
ChatGPT, Claude, Microsoft 365 Copilot, Gemini, Grok, Grok Bot, Cursor and Kimi. One download, installed the same simple way in each. You do not change your tools.
Members get daily updates
A live connection brings AI news for your job every day, one new idea with the prompt to try it, and automatic updates to every skill as they improve.
A day with your plugin
The plugin installs inside the AI you already use, such as ChatGPT, Claude, Copilot, Gemini, Grok, Cursor or Kimi. You ask a plain question and the right skill answers: how to treat outliers, which metric to report, how to compare two models. Same tools, same workflow, better output.
- Morning
You open a raw export with missing values and mixed date formats. The data preprocessing skill lists the cleaning order, so you fix column types before anyone models on bad data.
- Late morning
You have three candidate models and no clear winner. The model evaluation skill tells you which metrics to compare, how to set up cross validation, and what counts as a real improvement.
- Afternoon
A stakeholder asks whether the new pricing test worked. The senior data scientist skill outlines the test plan, the effect estimate and the two charts that answer the question without jargon.
- End of day
You need a comparison document for tomorrow's review. The model comparison and selection app gives you a side by side layout with the evidence attached, so the decision is written down.
Install it in your AI
Choose the AI you use. No technical knowledge needed: it's a few clicks and some copy and paste.
ChatGPT
Your own GPT on chatgpt.com, plus a plugin for Codex and ChatGPT workspaces. About 5 minutes.
- Download the ChatGPT version and unzip it (double-click the file).
- Go to chatgpt.com, click GPTs in the left menu, then Create, then the Configure tab.
- Name it Data Scientist Assistant. Open
custom-gpt/instructions.txt, copy everything and paste it into Instructions. - Under Knowledge, upload all the files from the
custom-gpt/knowledgefolder. - Paste the lines from
conversation-starters.txtas conversation starters and click Create. - For the daily news, ideas and skill updates: in ChatGPT go to Settings → Apps & Connectors, add the Complete AI Training connector and sign in with your membership. The README shows each click.
Download for members
Members download the plugin for every job, with daily news, ideas and skill updates. Or buy this plugin alone for $49, once.
Claude
A Claude plugin for claude.ai, the desktop app, Cowork and Claude Code. About 2 minutes.
- Download the Claude version. Keep it zipped.
- Open Claude (claude.ai or the desktop app), click your name at the bottom left, then Settings → Capabilities.
- Click Upload plugin and choose the zip file. Turn the plugin on.
- Start a new chat and type /start. Your data scientist assistant introduces itself.
- The first time it uses Complete AI Training, Claude asks you to connect: click Connect and sign in with your membership.
Download for members
Members download the plugin for every job, with daily news, ideas and skill updates. Or buy this plugin alone for $49, once.
Microsoft 365 Copilot
A Copilot agent: set it up yourself in Agent Builder, or give IT the ready app package. About 5 minutes.
- Download the Microsoft 365 Copilot version and unzip it.
- Open Microsoft 365 Copilot (m365.cloud.microsoft/chat) and click Create agent, then the Configure tab.
- Name it Data Scientist Assistant. Paste everything from
agent-builder/instructions.txtinto Instructions. - Under Knowledge, upload the files from
agent-builder/knowledge. Add the starter prompts and click Create. - Working in a company? The
appPackagefolder is a ready app for your IT team, with the Complete AI Training connection built in. The README has a message you can forward to them.
Download for members
Members download the plugin for every job, with daily news, ideas and skill updates. Or buy this plugin alone for $49, once.
Gemini
Skills you upload to Gemini, a ready Gem, and a Gemini CLI extension. About 2 minutes.
- Download the Gemini version and unzip it.
- Go to gemini.google.com and open Settings → Skills → Upload.
- Upload the
SKILL.mdfiles from theskillsfolder, starting with the folder whose name ends in-assistant. Gemini now uses them by itself. - Prefer a Gem? Open Gems → New Gem, paste
gem/instructions.txtand upload the files ingem/knowledge. - Using Gemini CLI?
gemini extensions installon the folder also connects Complete AI Training for the daily news, ideas and skill updates.
Download for members
Members download the plugin for every job, with daily news, ideas and skill updates. Or buy this plugin alone for $49, once.
Grok
A Grok Project with all the instructions and files. About 5 minutes.
- Download the Grok version and unzip it.
- Go to grok.com, open Projects in the left menu and click New project. Name it Data Scientist Assistant.
- Paste everything from
grok-project/instructions.txtinto the project's instructions. - Upload the files from
grok-project/knowledgeto the project. - Start your work chats inside this project. Try one of the lines in
conversation-starters.txt.
Download for members
Members download the plugin for every job, with daily news, ideas and skill updates. Or buy this plugin alone for $49, once.
Grok Bot
One message that sets up a whole team of Grok Bot agents for your job. About 5 minutes.
- Download the Grok Bot version and unzip it.
- Open Grok Bot and create a new bot. Name it Data Scientist Team Lead.
- Open
SETUP-MESSAGE.md, copy everything and paste it as your first message. - The team lead sets up its own role and walks you through adding each specialist bot, one at a time.
- Add the Complete AI Training connector in Grok Bot so your team lead gets the daily news and ideas for data scientists.
Download for members
Members download the plugin for every job, with daily news, ideas and skill updates. Or buy this plugin alone for $49, once.
Cursor
A Cursor plugin with the skills, rules and connection, or project files. About 3 minutes.
- Download the Cursor version and unzip it.
- In Cursor, open Settings → Plugins and add the unzipped folder.
- No plugins in your Cursor? Copy
skillsto.cursor/skillsandrulesto.cursor/rulesin your project, andmcp.jsonto.cursor/mcp.json. - Open the Agent chat and ask what it can do for you as a data scientist.
Download for members
Members download the plugin for every job, with daily news, ideas and skill updates. Or buy this plugin alone for $49, once.
Kimi
A Kimi Code plugin, and instructions with files for Kimi chat. About 3 minutes.
- Download the Kimi version and unzip it.
- Kimi chat (kimi.com or the app): start a new chat, paste
kimi-chat/instructions.txtand attach the files inkimi-chat/files. - Keep using that chat for your work: Kimi now acts as your data scientist assistant.
- Kimi Code: type
/plugins installwith the folder, then/reload. It connects Complete AI Training too.
Download for members
Members download the plugin for every job, with daily news, ideas and skill updates. Or buy this plugin alone for $49, once.
Everything in the plugin
Your AI picks the right part by itself. You can also ask for one by name.
Skills for data scientists 17
- data preprocessing advisorWalks you through cleaning, imputation, scaling, and imbalance fixes, like turning a 40 percent missing column into a usable feature.
- feature engineering advisorSuggests new features and transformations, such as lag and rolling averages for weekly sales forecasting.
- algorithm development assistantCovers the research lifecycle from preprocessing to documentation, for example structuring a paper-ready model comparison.
- ml algorithm selection assistantRecommends and compares models for your data, like choosing gradient boosting over logistic regression for tabular churn.
- big data analysis guideGuides large-scale workflows including anomaly detection and NLP, such as clustering millions of support tickets.
- model evaluation analystRuns full model evaluation with bias audits and robustness probes, for example testing a credit model across demographic groups.
Show all 14 skills
- predictive modeling workflow guideMaps the full path from feature selection to deployment, like planning a demand forecast handoff to engineering.
- senior data scientistDesigns experiments and causal analyses, for example an A/B test plan with power and guardrail metrics.
- ml integration assistantBuilds, evaluates, and deploys models end to end, such as a fraud detection service with monitoring.
- statistical analysis workflow assistantRuns hypothesis tests, survival analysis, and experimental design, for example comparing treatment groups with the right test.
- neural architecture design assistantDesigns and tunes network architectures, like picking layers and learning rates for an image classifier.
- agency engineering ai engineerBuilds production ML pipelines and integrations, for example wiring a churn model into the CRM.
- image analysis assistantHandles image classification, detection, and segmentation, such as flagging defects in manufacturing photos.
- deep researchRuns autonomous multi-source research and synthesizes reports, for example a landscape review of forecasting methods.
Plus a start-here assistant, the prompt library and the app builder, and for members the daily brief.
Ready-made prompts 244
- Deep Learning in Image Analysis25 prompts, like Image Classification Assistant
- AI Model Evaluation20 prompts, like Active Learning Integration
- Data Preprocessing Techniques14 prompts, like Outlier Detection Methods Guide
- Feature Engineering and Selection17 prompts, like Categorical Variable Encoding Guidance
- Neural Network Architecture Design17 prompts, like Apply Regularization to Prevent Overfitting
- AI Ethics and Responsible AI10 prompts, like AI Bias Detection
- Machine Learning Algorithm Selection13 prompts, like Algorithm Complexity and Suitability Analysis
Show all 15 topics
- AI in Big Data Analysis10 prompts
- Natural Language Processing Techniques17 prompts
- AI Model Optimization11 prompts
- AI for Predictive Analytics23 prompts
- Integrating AI with IoT18 prompts
- AI in Real-Time Decision Making12 prompts
- AI in Healthcare Data Analysis21 prompts
- Reinforcement Learning Strategies16 prompts
Apps you can build with AI 8
- Evidence-backed notebook analysis and reporting workspaceReduce notebook rework while preserving the analyst's reasoning. Demo included.
- Managed model training and deployment workspaceRuns training and deployment in one place, cutting handoffs between notebooks and production. Demo included.
- AI model test and monitoring workbenchTests models before release and keeps a defensible record, useful for regulated or high-stakes deployments. Demo included.
- Private fine-tuning and workflow automation workspaceFine-tunes models on your own data while keeping weights and data in-house. Demo included.
- AI model and agent performance operations workbenchShortens the loop from detected model failure to reviewed fix, useful for live prediction services. Demo included.
- Model comparison and selection workspaceProduces a documented model comparison, so selection decisions are reviewable instead of verbal. Demo included.
- Source-linked multi-model text and code workbenchConsolidates generation, coding, and analysis with source-linked outputs for audit. Demo included.
- Multi-model comparison and clarification workspaceCompares models on cost and quality in one owned workspace, useful when picking a vendor. Demo included.
Your Grok Bot team 12
- Data ScientistAnalyzes data, builds models, and delivers actionable business insights from complex datasets.
- Statistical AnalysisRuns statistical tests and reports results in APA format for academic research.
- Scikit LearnBuild and evaluate classical ML models with scikit-learn pipelines.
- Machine Learning Ops Ml PipelineOrchestrate a multi-agent MLOps pipeline from data ingestion to production serving.
- Senior Data ScientistDesign experiments, build predictive models, and perform causal analysis from your data.
- ShapExplains machine learning model predictions using SHAP values and visualizations.
- StatsmodelsFits and diagnoses statistical models for rigorous inference and forecasting.
- Ab Test SetupPlan statistically valid A/B tests with locked hypothesis, sample size, and pre-launch checklist.
- Ab TestingDesign statistically valid A/B tests and growth experiments.
- SeabornGenerate publication-quality Seaborn statistical plots from DataFrames with code only.
- Data AnalystAnalyzes numerical data to find trends, compare metrics, and produce statistical insights.
- Research AnalystConducts comprehensive multi-source research and synthesizes findings into actionable reports with trend analysis.
Get the plugin
Two ways to get it. Most people choose the membership: it includes every plugin and keeps them up to date.
Recommended
Membership
$9 a month, billed yearly
- The plugin for data scientists, and for 500 other jobs
- Daily AI news and a new idea every day, inside your AI
- Skills update by themselves
- 900+ video courses and certificates
- Download up to 2 plugins a day
This plugin only
Standalone plugin
$49 once
- The plugin for data scientists, for all eight AIs
- All 17 skills, 244 prompts and 8 apps
- Yours to keep, no subscription
- No daily news, ideas or skill updates
Secure payment by Stripe. Bought it already? Use the link in your email.
Questions
What is a plugin, and how do I install it without technical skills?
A plugin is a small package of instructions and files that teaches your AI new jobs. You download it once, follow a short setup guide with pictures, and your AI gains the skills. No coding, no server, no command line.
Which AI does it work with?
ChatGPT, Claude, Microsoft 365 Copilot, Gemini, Grok, Grok Bot, Cursor and Kimi. Install it in the one you already pay for or the one your team uses. The same skills and prompts are available in each.
How is the member download different from the $49 one-time plugin?
Members get the plugin plus daily AI news for their job, a new idea every day with the prompt to run it, and automatic skill updates. The $49 one-time standalone plugin is the same core plugin with no news, ideas or updates.
Is my data safe?
The plugin is only instructions and files. It does not store your data or send it anywhere on its own. Your AI provider handles your chats under their own privacy terms, exactly as it does today.
How many downloads can I get?
Two plugins a day from the marketplace. So you can add the data scientist plugin and one more, for example the statistical analysis plugin, on the same day.
Learn to use AI as a data scientist
The plugin does the work; the learning path shows you how to get the most out of it, step by step.
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