36 lines
1.5 KiB
Markdown
36 lines
1.5 KiB
Markdown
---
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name: normalize-signals
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description: Processes enriched datasets into unified schemas with identity resolution and tagging.
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usage: /data-signal-enrichment:normalize-signals --source warehouse --outputs crm,cdp --taxonomy intent_v2
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---
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# Command: normalize-signals
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## Inputs
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- **source** – data origin (warehouse, csv, api, webhook).
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- **outputs** – comma-separated destinations (crm, cdp, lake, orchestration).
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- **taxonomy** – schema/taxonomy version to enforce.
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- **window** – time window or batch ID to process.
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- **dry-run** – true/false toggle for validation-only runs.
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## Workflow
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1. **Schema Detection** – inspect incoming fields, compare to taxonomy, flag gaps.
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2. **Identity Resolution** – match accounts/contacts/opps using rules + heuristics.
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3. **Normalization** – standardize values, units, topics, and metadata.
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4. **Tagging & Scoring** – add freshness, confidence, and signal-type tags.
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5. **Distribution** – publish to requested destinations with lineage + control tables.
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## Outputs
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- Normalized dataset (per destination) with schema compliance report.
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- Identity resolution summary (matches, conflicts, unresolved records).
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- Taxonomy drift log + remediation checklist.
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## Agent/Skill Invocations
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- `signal-integrator` – runs normalization + distribution.
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- `data-quality-steward` – validates schema + scores.
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- `provider-ops-lead` – supplies provider metadata for lineage.
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- `signal-taxonomy` skill – enforces schema + naming rules.
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- `identity-resolution` skill – handles matching heuristics.
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---
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