/normalize-signals

name: normalize-signals
description: Processes enriched datasets into unified schemas with identity resolution and tagging.
usage: /data-signal-enrichment:normalize-signals --source warehouse --outputs crm,cdp --taxonomy intent_v2

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

1. **Schema Detection** – inspect incoming fields, compare to taxonomy, flag gaps. 2. **Identity Resolution** – match accounts/contacts/opps using rules + heuristics. 3. **Normalization** – standardize values, units, topics, and metadata. 4. **Tagging & Scoring** – add freshness, confidence, and signal-type tags. 5. **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.

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