Slash Command

/normalize-signals

Normalizes enriched datasets from sources like warehouse/CSV/API into unified schemas for outputs like CRM/CDP, with identity resolution, tagging, scoring, and distribution.

data-engineering

From data-signal-enrichment

Install

Run in your terminal

npx claudepluginhub gtmagents/gtm-agents --plugin data-signal-enrichment

Command Content

Stats

Parent Repo Stars138

Parent Repo Forks24

Last CommitNov 19, 2025

Actions

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Command: normalize-signals

Inputs

source – data origin (warehouse, csv, api, webhook).
outputs – comma-separated destinations (crm, cdp, lake, orchestration).
taxonomy – schema/taxonomy version to enforce.
window – time window or batch ID to process.
dry-run – true/false toggle for validation-only runs.

Workflow

Schema Detection – inspect incoming fields, compare to taxonomy, flag gaps.
Identity Resolution – match accounts/contacts/opps using rules + heuristics.
Normalization – standardize values, units, topics, and metadata.
Tagging & Scoring – add freshness, confidence, and signal-type tags.
Distribution – publish to requested destinations with lineage + control tables.

Outputs

Normalized dataset (per destination) with schema compliance report.
Identity resolution summary (matches, conflicts, unresolved records).
Taxonomy drift log + remediation checklist.

Agent/Skill Invocations

signal-integrator – runs normalization + distribution.
data-quality-steward – validates schema + scores.
provider-ops-lead – supplies provider metadata for lineage.
signal-taxonomy skill – enforces schema + naming rules.
identity-resolution skill – handles matching heuristics.