r00-hesreallyhim-awesome-claude-code-datascience

name	r00-hesreallyhim-awesome-claude-code--datascience
description	🤖 Data Science & AI/ML skill suite derived from hesreallyhim/awesome-claude-code. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
version	1.0.0
domain	datascience
tags	["data-science","machine-learning","analytics","pandas","mlops"]
source	https://github.com/hesreallyhim/awesome-claude-code
license	MIT

🤖 Data Science & AI/ML Skill Suite

Derived from hesreallyhim/awesome-claude-code · Focus: curated resources, skills, hooks, agents

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-hesreallyhim-awesome-claude-code--datascience/

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

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