R00 Travisvn Awesome Claude Skills Datascience

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

50 starsAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add WireTarantulaKnife/r09-travisvn-awesome-claude-skills-datascience --skill r00-travisvn-awesome-claude-skills--datascience

Manual install

git clone --depth 1 https://github.com/WireTarantulaKnife/r09-travisvn-awesome-claude-skills-datascience.git /tmp/r09-travisvn-awesome-claude-skills-datascience
mkdir -p ~/.claude/skills
cp -r /tmp/r09-travisvn-awesome-claude-skills-datascience/. ~/.claude/skills/r00-travisvn-awesome-claude-skills--datascience

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# 🤖 Data Science & AI/ML Skill Suite

> Derived from **travisvn/awesome-claude-skills** · Focus: _curated Claude Skills resources and customisation tools_

## 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:

Read the full skill on GitHub

Details

Skill name: r00-travisvn-awesome-claude-skills--datascience
Repository: WireTarantulaKnife/r09-travisvn-awesome-claude-skills-datascience
Repo updated: 28 April 2026

FAQ

What does the R00 Travisvn Awesome Claude Skills Datascience skill do?

How do I install the R00 Travisvn Awesome Claude Skills Datascience skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add WireTarantulaKnife/r09-travisvn-awesome-claude-skills-datascience --skill r00-travisvn-awesome-claude-skills--datascience. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is R00 Travisvn Awesome Claude Skills Datascience popular?

It lives in WireTarantulaKnife/r09-travisvn-awesome-claude-skills-datascience, which has 50 GitHub stars and 0 forks.

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