Fg Data Profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Install with one command
$ npx skills add Data-Centric-AI-Community/fg-data-profilingDecision summary
Production-ready for Data analysis
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Best for
- Data analysis workflows
- Claude Code teams
- teams that value GitHub adoption signals
Not ideal for
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
Risk notes
- No major risk signals from current metadata
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Analyze datasets
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
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Turn skills into distribution
Content growth agent
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Ingest, retrieve, and cite
RAG knowledge base
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Overview
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 6/8/2026
- Published
- 6/6/2026
Frameworks & Tools
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Author
Data-Centric-AI-Community✓
@data-centric-ai-community
Tags
Platform Fit
Health Signals
- GitHub stars
- 13.6K
- Quality score
- 69/100
- Last GitHub push
- Apr 22, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 3
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
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Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: MIT
- —Manually verified by team
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