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

Run npx skillmds@latest add wiretarantulaknife/r00-travisvn-awesome-claude-skills-datascience in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is R00 Travisvn Awesome Claude Skills Datascience safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with R00 Travisvn Awesome Claude Skills Datascience?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is R00 Travisvn Awesome Claude Skills Datascience free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published R00 Travisvn Awesome Claude Skills Datascience?

WireTarantulaKnife (@wiretarantulaknife) published this skill. Their other Agent Skills are listed on their SkillMD profile.

R00 Travisvn Awesome Claude Skills Datascience by wiretarantulaknife

Name: R00 Travisvn Awesome Claude Skills Datascience
Rating: 4.2 (5 reviews)
Author: WireTarantulaKnife

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.

File contents

🤖 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:

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

# Install this skill
cp -r . ~/.claude/skills/r00-travisvn-awesome-claude-skills--datascience/

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

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

---name: r00-travisvn-awesome-claude-skills-datasciencedescription: 🤖 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.license: MIT---# 🤖 Data Science & AI/ML Skill Suite> Derived from **travisvn/awesome-claude-skills** · Focus: _curated Claude Skills resources and customisation tools_## OverviewThis skill provides 10 production-ready commands tailored for**Data Science & AI/ML** workflows. All commands follow a consistentinteraction pattern with structured output, progress tracking andactionable 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 PatternEvery command follows this structured response format:```1. CONTEXT CHECK — Verify inputs and confirm scope with user2. ANALYSIS — Deep analysis with live progress display3. FINDINGS TABLE — Structured results with severity / priority4. 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 skillcp -r . ~/.claude/skills/r00-travisvn-awesome-claude-skills--datascience/# In Claude Code/read ~/.claude/skills/r00-travisvn-awesome-claude-skills--datascience/SKILL.md```Then simply describe your task and Claude will route to theappropriate command automatically.

Frequently asked questions