Individual skill
sigma_ingest
Extract durable ktx wiki knowledge from staged Sigma data model specs and workbook summaries. Load for WorkUnits with unitKey sigma-data-models or sigma-workbooks.
packages/cli/src/skills/sigma_ingest/SKILL.md
Source commit 49a4ae6f5b28c904da921afc0ee72da6db7ac202
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Oct 22, 2026
- License
- Apache-2.0
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- agents Repository topic
- analytics Repository topic
- analytics-engineering Repository topic
- context-layer Repository topic
- data-engineering Repository topic
- semantic-layer Repository topic
- business-intelligence Repository topic
- data-analysis Repository topic
- agent Repository topic
- ai-agent Repository topic
- data Derived category
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# Sigma Ingest
Sigma ingest turns staged data model specs and workbook summaries into durable ktx wiki knowledge. The deterministic `project()` step has already written semantic-layer YAML for all warehouse-table data model elements before this skill runs — do not re-write those SL sources.
## Work unit structure
Sigma produces at minimum two work units per ingest run:
- `sigma-data-models` or `sigma-data-models-N`
- `rawFiles`: `data-models/<id>.json` files (one per data model in this batch)
- `peerFileIndex`: `workbooks/<id>.json` files + `sigma-manifest.json` + `sigma-projection-config.json`
- When the workspace has more than 50 data models, split into batches: `sigma-data-models-0`, `sigma-data-models-1`, … with `displayLabel` like `"Sigma: data models (1/8)"`. When ≤50 data models, the unitKey is simply `sigma-data-models` with no suffix.
- `sigma-workbooks` or `sigma-workbooks-N`
- `rawFiles`: `workbooks/<id>.json` files (one per workbook in this batch)