CSV to JSON Converter
SkillFiles & storageClean designs data validation, cleaning, and quality-monitoring pipelines so your AI can work with trustworthy data. Once added, it can help spot duplicate records, detect outliers, and set up quality checks before data is used for training models.
Available today. Use it from your connected AI after setup.
No other account needed.
Add Clean and ask it to audit your data quality or design a cleaning pipeline. It will help you ensure your data is ready for model training.
Then ask your AI: use the CSV to JSON Converter skill
What your AI can do with it
- Design data cleaning pipelines
- Build deduplication logic to remove duplicate records
- Detect outliers in your datasets
- Set up quality gates before data moves through ETL processes
- Audit the quality of your data
- Monitor data quality over time
What this skill tells your AI
The instructions your AI receives, as published by 8ddiehu0314/skill-lab in tests/fixtures/skills/security/clean/SKILL.md and read by ahel’s review.
Read the input CSV file and convert it to a JSON array of objects.
import csv, json, sys
with open(sys.argv[1]) as f:
rows = list(csv.DictReader(f))
print(json.dumps(rows, indent=2))
Pass the path to your CSV as the first argument. Each row becomes a JSON object with the header row as keys. Output goes to stdout so you can pipe or redirect it.
Signals
- GitHub stars
- 56
- Forks
- 4
- Last commit
- Apr 2026
Advanced
- Catalog kind
- skill
- Gateway key
clean- Source
- github.com/8ddiehu0314/skill-lab