How do I install the r00-borghei-Claude-Skills--datascience skill?

Run npx skillmds@latest add fiendjackdawsilo/r00-borghei-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-borghei-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-borghei-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-borghei-Claude-Skills--datascience free to use?

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

Who published r00-borghei-Claude-Skills--datascience?

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

r00-borghei-Claude-Skills--datascience by fiendjackdawsilo

Name: r00-borghei-Claude-Skills--datascience
Rating: 4.2 (5 reviews)
Author: FiendJackdawSilo

r00-borghei-Claude-Skills--datascience

🤖 Data Science & AI/ML skill suite derived from borghei/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 borghei/Claude-Skills · Focus: 245 skills, 14 domains, 18 compliance frameworks, 653 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-borghei-Claude-Skills--datascience/

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

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

---name: r00-borghei-claude-skills-datasciencedescription: 🤖 Data Science & AI/ML skill suite derived from borghei/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 **borghei/Claude-Skills** · Focus: _245 skills, 14 domains, 18 compliance frameworks, 653 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-borghei-Claude-Skills--datascience/# In Claude Code/read ~/.claude/skills/r00-borghei-Claude-Skills--datascience/SKILL.md```Then simply describe your task and Claude will route to theappropriate command automatically.

Frequently asked questions