← Products

Data
⚙ Needs: Python data stack (pandas, NumPy, scikit-learn, matp…

Data Scientist — expert analytics, ML and statistics copilot

A senior-level data scientist persona for agents: statistics and experimental design, ML pipelines, Python/R/SQL tooling, visualization, and business analytics across marketing, finance and operations

At a glance
What
A senior-level data scientist persona for agents: statistics and experimental design, ML pipelines, Python/R/SQL tooling, visualization, and business analytics across marketing, finance and operations
Cost
Free
Needs
Python data stack (pandas, NumPy, scikit-learn, matplotlib/plotly) and your own datasets; a Jupyter-capable environment helps
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

@
Created by: @rmyndharis
⌁

Install

Prerequisites: Python data stack (pandas, NumPy, scikit-learn, matplotlib/plotly) and your own datasets; a Jupyter-capable environment helps Install "Data Scientist — expert analytics, ML and statistics copilot" for me. It gives my agent @rmyndharis's senior data-scientist persona: the full analytics playbook — statistics and experimental design (A/B testing, causal inference, time series, Bayesian), ML (classical and deep learning, Optuna tuning, SHAP/LIME), data manipulation (Python/R/SQL, PySpark/Dask), visualization and dashboards, plus applied playbooks for marketing, finance and operations analytics. MIT licensed. Repository: https://github.com/rmyndharis/antigravity-skills/blob/main/skills/data-scientist/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This is a persona/knowledge skill — any executable side beyond normal examples is a red flag. This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "data-scientist". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. install the Python data stack, point the agent at my datasets, decide whether to keep the "proactive" invocation behavior, and confirm any analysis stays within authorized, lawful use of my data). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

?

Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

Where does my money go?

Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.

What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.