How do I install the r00-VoltAgent-awesome-agent-skills--datascience skill?

Run npx skillmds@latest add gabrielmoreira/r00-voltagent-awesome-agent-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-VoltAgent-awesome-agent-skills--datascience safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. 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-VoltAgent-awesome-agent-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-VoltAgent-awesome-agent-skills--datascience free to use?

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

Who published r00-VoltAgent-awesome-agent-skills--datascience?

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

r00-VoltAgent-awesome-agent-skills--datascience by gabrielmoreira

Name: r00-VoltAgent-awesome-agent-skills--datascience
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

r00-VoltAgent-awesome-agent-skills--datascience

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

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

🤖 Data Science & AI/ML Skill Suite

Derived from VoltAgent/awesome-agent-skills · Focus: 1000+ agent skills from official dev teams and community

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-VoltAgent-awesome-agent-skills--datascience/

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

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

---name: r00-voltagent-awesome-agent-skills-datasciencedescription: 🤖 Data Science & AI/ML skill suite derived from VoltAgent/awesome-agent-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 **VoltAgent/awesome-agent-skills** · Focus: _1000+ agent skills from official dev teams and community_ ## 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 ```bash # Install this skill cp -r . ~/.claude/skills/r00-VoltAgent-awesome-agent-skills--datascience/ # In Claude Code /read ~/.claude/skills/r00-VoltAgent-awesome-agent-skills--datascience/SKILL.md ``` Then simply describe your task and Claude will route to the appropriate command automatically.

Frequently asked questions