validated-data-migration
OfficialMigrate messy data to a clean SQLite.
Data & Analytics#validation#provenance#sqlite#deduplication#audit-trail#data-cleaning#data-migration
Authorm2ai-portfolio
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps teams transform a shoebox of inconsistent source files (CSV, Excel, JSON, PDFs, VCF) into a clean, queryable SQLite database with a full audit trail and explicit provenance, reducing data quality risks during onboarding and integration.
Core Features & Use Cases
- Intake and source-scans of mixed-format data to detect files, types, and estimated rows.
- Schema discovery and a unified target schema with provenance fields, rejection logic, and merge rules.
- Per-file migration with rejections, enum normalization, duplicate detection/merging, and conflict tracking, all auditable.
- Phase-driven migration reports and a human-review queue to confirm correctness before shipping.
Quick Start
Define your source directory and run the migration to produce a SQLite database with complete provenance.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: validated-data-migration Download link: https://github.com/m2ai-portfolio/m2ai-skills-pack/archive/main.zip#validated-data-migration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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