Normalize Signals

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.