data-profiler
Generate comprehensive data profiles for DataFrames. Use for EDA, data discovery, and understanding dataset characteristics.
npx skills add majiayu000/claude-skill-registry --skill data-profiler-majesticlabs-dev-majestic-marketplace-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Profiler **Audience:** Data engineers and analysts exploring new datasets. **Goal:** Generate comprehensive profiles including statistics, correlations, and missing patterns. ## Scripts Execute profiling functions from `scripts/profiling.py`: ```python from scripts.profiling import ( profile_dataframe, print_profile_summary, profile_correlations, profile_missing_patterns ) ``` ## Usage Examples ### Basic Profiling ```python import pandas as pd from scripts.profiling import profile_dataframe, print_profile_summary df = pd.read_csv('data.csv') profile = profile_dataframe(df) print_profile_summary(profile) ``` **Output:** ``` Shape: 10,000 rows x 15 columns Memory: 1.23 MB Column Summary: id (int64): 10,000 unique, no nulls email (object): 9,847 unique, 1.53% null revenue (float64): 3,421 unique, no nulls created_at (datetime64[ns]): 365 unique, no nulls ``` ### Correlation Analysis ```python from scripts.profiling import profile_correlations corr = profile_correlations(df, threshold=0.7) if corr['high_correlations']: print("Highly correlated columns:") for c in corr['high_correlations']: print(f" {c['col1']} <-> {c['col2']}: {c['correlation']}") ``` ### Missing Data Patterns `
- Scripts
- Usage Examples
- Basic Profiling
- Correlation Analysis
- Missing Data Patterns
- Profile Output Schema
- Dependencies
What does the data-profiler skill do?
Generate comprehensive data profiles for DataFrames. Use for EDA, data discovery, and understanding dataset characteristics.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill data-profiler-majesticlabs-dev-majestic-marketplace-2 --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.