Pack 366 · Developer stacks · 14 items
Data Science With Python Pack
11 prompts + 3 skills for data scientists working in Python — real jobs from the week, with the steps, rules and output an expert would ask for. 7 written for this work, 7 more from the library.
€4one-time · 14 prompts & skills · ≈ €0.29 each
- Instant download
- Yours to keep
- Works in ChatGPT, Claude, Gemini
What's inside
Made for data scientists working in Python
6 prompts + 1 skill- PromptPandas Data Cleaning Pipeline With Validation Checks
Builds a reusable pandas cleaning pipeline — types, missing values, duplicates, outliers, category standardisation — with validation checks and a cleaning log, instead of ad hoc notebook cells.
- PromptExploratory Data Analysis — Notebook Structure and Findings Story
Structures an exploratory analysis from question to findings — data understanding, distributions, relationships, segments, caveats — and turns it into a clear story for stakeholders.
- PromptA/B Test Analysis in Python — Statistics Done Right
Analyses an A/B test properly — sample ratio checks, primary metric test, confidence intervals, power, multiple comparisons, segment caveats — and writes a clear decision recommendation.
- PromptTime Series Forecast in Python — Baselines First
Builds a forecast properly — time-aware splits, naive and seasonal baselines, a statistical or ML model, backtesting, prediction intervals — and explains accuracy in business terms.
- PromptCustomer Segmentation With Clustering — Built to Be Used
Builds a customer segmentation that marketing and product teams will actually use — feature choice, scaling, clustering, validation, naming segments, and actions per segment.
- PromptFrom Notebook to Production — Handover of a Python Analysis
Turns a working notebook analysis into maintainable code — modules, configuration, tests, dependency pinning, scheduling and documentation — so engineers can run it without the original author.
- SkillPython Data Scientist
A standing Python data scientist: cleaning pipelines, exploratory analysis, experiments, forecasting, segmentation and productionising notebooks — reproducible, honest about uncertainty, and focused on decisions.
Bonus prompts & skills
5 prompts + 2 skills · free with the packFrom the wider PromptCorrectly library, picked for the same work. They come in the same .zip and the start file tells your AI when to use each one.
- SkillExploratory Data Analysis Strategist
Produces a structured EDA plan and narrative findings for any new dataset before modeling.
Library · Free account - SkillData Storytelling Translator
Turns analytical findings into clear narratives and chart recommendations for non-technical audiences.
Library · In a pack - PromptReproducible Data Management Plan
Drafts a funder-ready data management plan covering collection, storage, sharing, ethics, and long-term preservation.
Library · In a pack - PromptMessaging A/B Test Hypothesis Generator
Generates rigorous A/B test hypotheses for marketing messaging with variants, success metrics, and sample logic.
Library · In a pack - PromptTranslate Business Questions Into SQL
Turns a plain-English stakeholder question into a correct, well-commented SQL query against a known schema.
Library · Free - PromptRoot-Cause A Metric Spike Or Drop
Drives a systematic decomposition to explain why a metric moved, with SQL to test each hypothesis.
Library · In a pack - PromptInfographic And Data Visual Layout
Generate clean infographic-style visuals with clear hierarchy, icon language, and space reserved for accurate data.
Library · In a pack
What you download
Everything comes in one pack (.zip) you keep. Start with 00-GIVE-THIS-TO-YOUR-AI.md: paste it into your AI and it knows which file to use for which job, and what to ask you first.
More for Data Analysis & Excel · Research & Paper Writing · Developers
data-science-python/ ├─ 00-GIVE-THIS-TO-YOUR-AI.md ├─ START-HERE.md ├─ TIPS-AND-FOLLOW-UPS.md ├─ AI-CHEAT-SHEET.md ├─ prompts/ │ ├─ 01-pandas-data-cleaning-pipeline-with-checks.md │ ├─ 02-exploratory-analysis-notebook-structure-and-story.md │ ├─ 03-ab-test-analysis-with-python-statistics.md │ ├─ 04-time-series-forecast-with-python-baseline-first.md │ ├─ 05-customer-segmentation-clustering-with-interpretation.md │ ├─ 06-python-analysis-to-production-handover.md │ ├─ 07-reproducible-data-management-plan.md │ ├─ 08-messaging-ab-test-hypothesis-generator.md │ ├─ 09-translate-business-questions-into-sql.md │ ├─ 10-root-cause-a-metric-spike-or-drop.md │ └─ 11-infographic-and-data-visual-layout.md └─ skills/ ├─ python-data-scientist/SKILL.md ├─ exploratory-data-analysis-strategist/SKILL.md └─ data-storytelling-translator/SKILL.md
A look inside
ROLE: You are a data scientist who turns messy notebook cleaning into reproducible pipelines. You make every cleaning decision explicit, validate assumptions with checks that fail loudly, and keep a log of what changed and why. CONTEXT: The dataset: source, size, columns and their meanings: [DATASET]. …
Questions
What do I get?
A .zip with 11 prompts + 3 skills: 6 prompts + 1 skill written for data scientists working in Python, plus 5 prompts + 2 skills from the wider library that fit the same work. Each prompt is a ready .md file, each skill a SKILL.md folder, plus 00-GIVE-THIS-TO-YOUR-AI.md (a start file your AI reads first), START-HERE.md, TIPS-AND-FOLLOW-UPS.md (tips and the follow-up questions for every file) and the free AI cheat sheet.
How do I use it?
Open ChatGPT, Claude or Gemini and paste 00-GIVE-THIS-TO-YOUR-AI.md, or attach the folder. It asks a few questions about your work once, then picks the right file for each job and fills in the blanks.
Is it a subscription?
No. €4 once, and the files are yours to keep. Nothing renews.
How do I download it?
Right after checkout, on the confirmation page. Sign in later with the email you paid with and the download button waits for you on this page.
Why this price?
A pack is priced by the items written for its trade: €0.50 a prompt and €1 a skill. The 7 bonus items come free on top. This one is €4 for 14 prompts and skills, about €0.29 an item.