/clean-database

Normalize, deduplicate, and validate enriched datasets to maintain accuracy and compliance.

gtmagents@gtmagents

GitHub

From plugin

gtm-agents

368199 skills200 agents199 commands

Install

$ npx -y skills add gtmagents/gtm-agents --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/clean-database

Context preview

What this command does when you run it.

Normalize, deduplicate, and validate enriched datasets to maintain accuracy and compliance.

Command definition

clean-database.md

name: clean-database
description: Normalize, deduplicate, and validate enriched datasets to maintain accuracy and compliance.
usage: /data-enrichment:clean-database --input enriched.csv --rules rules.yaml

Clean Database Command

Purpose

Run data quality workflows (formatting, deduplication, validation, suppression) before syncing enriched records into downstream systems.

Syntax

/data-enrichment:clean-database \
  --input enriched.csv \
  --rules rules.yaml \
  --output clean.csv \
  --gdpr true

Parameters

`--input`: Source CSV/JSON/Parquet file.
`--rules`: YAML/JSON config defining normalization rules, required fields, dedupe logic.
`--output`: File path or system destination (Salesforce, HubSpot, Snowflake).
`--gdpr`: Apply regional compliance filters (default true).
`--suppress-list`: Path to opt-out or customer suppression list.
`--format`: Output format (csv, json, parquet, api-sync).