Identify recurring cross-table historic-SQL analytical intents from a bounded pattern shard and emit typed pattern evidence for deterministic wiki projection.
Use this skill when the WorkUnit raw file is a patterns-input/part-0001.json style shard from the historic-sql adapter. Older staged bundles may still provide root patterns-input.json; when that is the WorkUnit raw file, read it the same way.
rawFiles section.read_raw_file for that exact raw file path.pattern evidence object per durable cross-table intent by calling emit_historic_sql_evidence.Every join column mentioned in pattern descriptions must be verified via entity_details for both sides of the join.
Before writing a wiki page or SL source on any topic:
discover_data({query: "<topic>"}) - see what wikis, SL sources, and raw
tables already exist. Prefer updating existing pages over creating new ones.Before emitting any schema.table or schema.table.column into a wiki body,
SL source, tables: frontmatter, sl_refs, or emit_unmapped_fallback:
entity_details({connectionId, targets: [{display: "<identifier>"}]}) -
confirm the identifier resolves; inspect native types, FK/PK, and
sampleValues.entity_details sampleValues for the relevant
column. If sampleValues is short or the sample may have missed real values,
run a sql_execution probe with the same warehouse connection id:
sql_execution({connectionId, sql: "SELECT DISTINCT <col> FROM <ref> LIMIT 50"}).sql_execution({connectionId, sql: "SELECT 1 FROM <ref> LIMIT 0"}).
If it errors, the identifier is fictional.[unverified - from <rawPath>] in the wiki body,
citing the exact raw path that mentioned it.emit_unmapped_fallback with no_physical_table, include
the failing probe error in clarification.<schema>.<table> placeholder strings from these instructions
into output.Each call to emit_historic_sql_evidence must use this shape:
{
"kind": "pattern",
"pattern": {
"slug": "order-lifecycle-analysis",
"title": "Order Lifecycle Analysis",
"narrative": "Analysts compare order statuses with customer segments to understand lifecycle movement.",
"definitionSql": "select o.status, count(*) from public.orders o join public.customers c on c.id = o.customer_id group by o.status",
"tablesInvolved": ["public.orders", "public.customers"],
"slRefs": ["orders", "customers"],
"constituentTemplateIds": ["pg:1", "pg:2"]
}
}The pattern object must match patternOutputSchema; multiple calls together must form patternsArraySchema.
executionsBucket at least 10-100 and distinctUsersBucket above solo usage.definitionSql to the clearest representative SQL from a constituent template.slRefs to source names when the source name is obvious from table names; omit uncertain refs rather than guessing.peerFileIndex.49a4ae6
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