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MAGIC Agent SkillsMAGIC Agent Skills · Open source

Turn any Agent into a data expert

Open-source skill suites that drop straight into the tools you already use. Install once, deploy everywhere — and give Claude Code, Cursor, Windsurf and 27+ others real data-science and linguistic expertise.

Apache 2.030+ AI assistants13 slash commands
Works withClaude CodeCursorWindsurfGitHub CopilotCodex+ 25 more
magic-data-agent-skills
MAGIC Agent Skills CLI installing data science skills
Architecture

The 3-layer skill architecture

Every skill is built from three layers the agent reads — then writes its own code from.

Layer 01

Domain Knowledge

What the agent must understand about your task — when to activate, plus the rules, constraints, and anti-patterns to avoid.

Layer 02

Code Patterns

Seed templates and reference implementations the agent studies — then writes its own custom code for your data, never run as-is.

Layer 03

Procedures

Step-by-step workflows. Reference scripts in scripts/ show the approach; the agent adapts them into code for the task at hand.

Installation

Quickstart

One command, zero config. The installer auto-detects your tools and drops in all 12 skills and 13 slash commands — no API keys, no boilerplate, no lock-in.

Just need an AI coding assistant

Claude Code, Cursor, Windsurf, or 27+ others — no other setup required.

install
# Interactive install — auto-detects your tools
$ npx @votee-ai/magic-data-agent-skills init
# Or target specific tools
$ npx @votee-ai/magic-data-agent-skills init --tools claude,cursor,windsurf

Deploys 12 skills and 13 slash commands, auto-configured for each tool.

Skill suites

Two suites. One open ecosystem.

Pick a domain and your assistant becomes an expert in it — with more suites on the way.

Data Science · 12 skills

Data Agent Skills

Production-grade skills covering the complete data lifecycle — ingestion, analysis, cleaning, transformation, synthetic generation, testing, visualization, and reporting.

  • Multi-format loading with automatic encoding detection
  • Quality scoring, profiling, and outlier detection
  • Schema validation and constraint verification
  • LLM-powered synthetic data generation
  • Statistical testing and correlation analysis
  • Automated visualization and Markdown reports

Low-Resource NLP · 18 skills

Linguistic Agent Skills

Specialized skills for multilingual natural language processing — built for low-resource languages, corpus preparation, and deep linguistic examination.

  • Low-resource and multilingual language support
  • Corpus preparation and curation
  • Linguistic analysis and examination tasks
How it works

The full data lifecycle, automated

Your agent calls MAGIC skills, which ingest your data and run one orchestrated pipeline — from raw files to a finished, cited report.

① AI Agents · your assistant

Claude CodeClaude CodeCursorCursorWindsurfWindsurfGitHub CopilotGitHub CopilotCodexCodexAntigravityAntigravity+ 24 more
Call MAGIC skills

② Accessing MAGIC Skills

MAGIC Agent Skills

MAGIC Agent Skills

12 data skills · 13 slash commands

Runs onPythonpandasNumPy
Inject data

③ Data Injection

CSVJSONParquetParquetExcelExcelDatabasesHuggingFace HubHuggingFace Hub
Pipeline orchestration
01

Ingest

CSV · Parquet · JSON · DB · HF Hub

02

Profile

Quality scoring & distributions

03

Clean

Missing values & dedupe

04

Validate

Schema & constraints

05

Discover

Patterns & relationships

06

Transform

Pivot, reshape & merge

07

Synthesize

LLM-powered data gen

08

Test

Stats & correlation

09

Visualize

Static & interactive

10

Report

Structured Markdown

Compatibility

Plays nicely with your stack

One configuration, no redundant setup — the same skills, ready in every assistant you reach for.

Claude CodeClaude CodeCursorCursorWindsurfWindsurfGitHub CopilotGitHub CopilotCodexCodexAntigravityAntigravityOpenAIOpenAI+ 23 more

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