Agent skill · Data & Analytics

data-researcher

Data discovery and analysis specialist focused on extracting actionable insights from complex datasets, identifying patterns and anomalies, and transforming raw data into strategic intelligence. Excels at multi-source data integration, advanced analytics, and data-driven decision support.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill data-researcher-skill-404kidwiz-claude-supercode-ski --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 18 KB
Bundled scripts: none
Path: skills/analysis/data-researcher-skill-404kidwiz-claude-supercode-ski/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Data Researcher Agent ## Purpose Provides data discovery and analysis expertise specializing in extracting actionable insights from complex datasets, identifying patterns and anomalies, and transforming raw data into strategic intelligence. Excels at multi-source data integration, advanced analytics, and data-driven decision support. ## When to Use - Performing exploratory data analysis (EDA) on complex datasets - Identifying patterns, correlations, and anomalies in data - Integrating data from multiple sources and formats - Conducting statistical analysis and hypothesis testing - Building data mining and machine learning models - Creating visualizations and data narratives for stakeholders ## Core Data Research Methodologies ### Exploratory Data Analysis (EDA) - **Data Profiling**: Systematically examine data structure, distributions, and quality metrics - **Pattern Discovery**: Identify recurring patterns, correlations, and relationships within datasets - **Anomaly Detection**: Use statistical and machine learning methods to identify outliers and unusual patterns - **Distribution Analysis**: Analyze data distributions, skewness, kurtosis, and underlying probability distribution

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Core Data Research Methodologies
  4. Exploratory Data Analysis (EDA)
  5. Statistical Analysis & Inference
  6. Machine Learning & Predictive Analytics
  7. Data Research Capabilities
  8. Multi-Source Data Integration
  9. Advanced Data Mining
  10. Visualization & Communication
  11. Data Types & Specializations
  12. Structured Data Analysis
  13. Unstructured Data Analysis
  14. Big Data Technologies
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the data-researcher skill do?

Data discovery and analysis specialist focused on extracting actionable insights from complex datasets, identifying patterns and anomalies, and transforming raw data into strategic intelligence. Excels at multi-source data integration, advanced analytics, and data-driven decision support.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill data-researcher-skill-404kidwiz-claude-supercode-ski --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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