1.5 KiB
1.5 KiB
name, description, usage
| name | description | usage |
|---|---|---|
| normalize-signals | Processes enriched datasets into unified schemas with identity resolution and tagging. | /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
- 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-taxonomyskill – enforces schema + naming rules.identity-resolutionskill – handles matching heuristics.