Identify recurring cross-table historic-SQL analytical intents from a bounded pattern shard and emit typed pattern evidence for deterministic wiki projection.
npx skills add https://github.com/Kaelio/ktx --skill historic_sql_patterns
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 rawtables 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.
check whether they appear in 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, includethe failing probe error in clarification.
<schema>.<table> placeholder strings from these instructionsinto 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.Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
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Take kaelio/historic_sql_patterns from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.