R00 BehiSecc Awesome Claude Skills Datascience
🤖 Data Science & AI/ML skill suite derived from BehiSecc/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
Install
npx skills add Winnershitram/r17-behisecc-awesome-claude-skills-datascience --skill r00-BehiSecc-awesome-claude-skills--datasciencegit clone --depth 1 https://github.com/Winnershitram/r17-behisecc-awesome-claude-skills-datascience.git /tmp/r17-behisecc-awesome-claude-skills-datascience
mkdir -p ~/.claude/skills
cp -r /tmp/r17-behisecc-awesome-claude-skills-datascience/. ~/.claude/skills/r00-BehiSecc-awesome-claude-skills--datasciencePersonal 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 **BehiSecc/awesome-claude-skills** · Focus: _curated list of Claude Skills_ ## 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:
Details
- Skill name
r00-BehiSecc-awesome-claude-skills--datascience- Repo updated
- 28 April 2026
FAQ
What does the R00 BehiSecc Awesome Claude Skills Datascience skill do?
🤖 Data Science & AI/ML skill suite derived from BehiSecc/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
How do I install the R00 BehiSecc Awesome Claude Skills Datascience skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add Winnershitram/r17-behisecc-awesome-claude-skills-datascience --skill r00-BehiSecc-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 BehiSecc Awesome Claude Skills Datascience popular?
It lives in Winnershitram/r17-behisecc-awesome-claude-skills-datascience, which has 56 GitHub stars and 1 forks.
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