R00 Alirezarezvani Claude Skills Datascience

Community

orangevoinULTRA

r00-alirezarezvani-claude-skills--datascience

🤖 Data Science & AI/ML skill suite derived from alirezarezvani/claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.

Overview

Publisher	orangevoinULTRA
Repository	`r02-alirezarezvani-claude-skills-datascience`
Skill name	`r00-alirezarezvani-claude-skills--datascience`
Stars	54
Forks	0
Bundled files	15
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
15 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by orangevoinULTRA on GitHub. Read the source before you install it.

Installation

Install the R00 Alirezarezvani Claude Skills Datascience AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/orangevoinULTRA/r02-alirezarezvani-claude-skills-datascience/tree/main
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/orangevoinULTRA/r02-alirezarezvani-claude-skills-datascience/tree/main

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/orangevoinULTRA/r02-alirezarezvani-claude-skills-datascience.git \
  .claude/skills/r00-alirezarezvani-claude-skills--datascience

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable R00 Alirezarezvani Claude Skills Datascience in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads R00 Alirezarezvani Claude Skills Datascience on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so R00 Alirezarezvani Claude Skills Datascience is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

🤖 Data Science & AI/ML Skill Suite

Derived from alirezarezvani/claude-skills · Focus: 235 skills across engineering, marketing, C-level, finance

Overview

This skill provides 10 production-ready commands tailored for Data Science & AI/ML workflows. All commands follow a consistent interaction pattern with structured output, progress tracking and actionable recommendations.

Available Commands

/data-profiling — Automated EDA report: distributions, nulls, outliers, correlations and drift
/feature-engineer — Feature importance analysis with SHAP values and automated encoding recipes
/model-evaluate — Model performance dashboard: ROC, PR curves, confusion matrix and bias check
/pipeline-scaffold — Modular ML pipeline scaffold with versioning, logging and registry hooks
/ab-test-design — Statistical A/B test design: sample size, power, MDE and sequential testing
/sql-optimize — Query plan analysis, index recommendations and cost estimation
/dashboard-spec — BI dashboard specification from KPI list with chart types and data sources
/data-contract — Schema validation, SLA definition and data quality contract generation
/llm-eval — LLM output evaluation harness: hallucination rate, faithfulness and latency
/anomaly-detect — Time-series anomaly detection with root-cause attribution and alert tuning

Interaction Pattern

Every command follows this structured response format:


1. CONTEXT CHECK   — Verify inputs and confirm scope with user
2. ANALYSIS        — Deep analysis with live progress display
3. FINDINGS TABLE  — Structured results with severity / priority
4. RECOMMENDATIONS — Prioritised action list (quick wins first)
5. NEXT STEPS      — Suggested follow-up commands

UI Conventions

Symbol	Meaning
✓	Passed / complete
✗	Failed / critical
⚠	Warning / review
⟳	In progress
░	Pending
🔴	Critical severity
🟠	High severity
🟡	Medium severity
🟢	Low / informational

Progress bars use block characters: [████████░░] 80%

Quick Start

bash
# Install this skill
cp -r . ~/.claude/skills/r00-alirezarezvani-claude-skills--datascience/

# In Claude Code
/read ~/.claude/skills/r00-alirezarezvani-claude-skills--datascience/SKILL.md

Then simply describe your task and Claude will route to the appropriate command automatically.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the R00 Alirezarezvani Claude Skills Datascience AI skill do?

Why use R00 Alirezarezvani Claude Skills Datascience on TypingMind?

Because you install it once and use it with any model. R00 Alirezarezvani Claude Skills Datascience is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install R00 Alirezarezvani Claude Skills Datascience in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/orangevoinULTRA/r02-alirezarezvani-claude-skills-datascience/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use R00 Alirezarezvani Claude Skills Datascience?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with R00 Alirezarezvani Claude Skills Datascience?

As many as you like. As long as a model supports skills, you can use R00 Alirezarezvani Claude Skills Datascience with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the R00 Alirezarezvani Claude Skills Datascience AI skill free?

Yes. It is published on GitHub by orangevoinULTRA under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

🤖 Data Science & AI/ML Skill Suite

Overview

Available Commands

Interaction Pattern

UI Conventions

Quick Start

Bundled files

Frequently asked questions

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