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Modèles SQL historiques

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Identifier les intentions analytiques SQL historiques récurrentes, communes à plusieurs tables, à partir d'un fragment de modèle délimité, et générer des preuves de modèle typées en vue d'une

KaelioKaelio
1.5k
21 juin 2026
Apache License 2.0
// contenu du skill

name: historicsqlpatterns

description: Identify recurring cross-table historic-SQL analytical intents from a bounded pattern shard and emit typed pattern evidence for deterministic wiki projection.

callers: [memory_agent]


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.

Required Workflow

  1. Read the WorkUnit notes first.
  2. Find the single pattern input file listed under the WorkUnit rawFiles section.
  3. Call read_raw_file for that exact raw file path.
  4. Identify recurring analytical intents that span at least two tables and have repeated usage signal.
  5. Emit one pattern evidence object per durable cross-table intent by calling emit_historic_sql_evidence.
  6. Stop after all pattern evidence has been emitted.

Every join column mentioned in pattern descriptions must be verified via

entity_details for both sides of the join.

Identifier Verification Protocol

Before writing a wiki page or SL source on any topic:

  1. 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:

  1. entity_details({connectionId, targets: [{display: "<identifier>"}]}) -

confirm the identifier resolves; inspect native types, FK/PK, and

sampleValues.

  1. For literal values from the source, such as status codes or plan tiers,

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"}).

  1. If the candidate identifier still does not resolve, do one of:
  • Use sql_execution({connectionId, sql: "SELECT 1 FROM <ref> LIMIT 0"}).

If it errors, the identifier is fictional.

  • Wrap the identifier in [unverified - from <rawPath>] in the wiki body,

citing the exact raw path that mentioned it.

  • When recording emit_unmapped_fallback with no_physical_table, include

the failing probe error in clarification.

  1. Never copy <schema>.<table> placeholder strings from these instructions

into output.

Evidence Shape

Each call to emit_historic_sql_evidence must use this shape:

json
{
  "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.

Pattern Selection Rules

  • Prefer patterns that involve two or more tables.
  • Prefer templates with executionsBucket at least 10-100 and distinctUsersBucket above solo usage.
  • Merge templates into one pattern only when the business intent is the same.
  • Use a stable kebab-case slug based on intent, not a template id.
  • Set definitionSql to the clearest representative SQL from a constituent template.
  • Set slRefs to source names when the source name is obvious from table names; omit uncertain refs rather than guessing.
  • Treat each pattern shard independently; do not read peer shard files from peerFileIndex.

Boundaries

  • Do not call wiki_write.
  • Do not call slwritesource.
  • Do not call sleditsource.
  • Do not call contextcandidatewrite.
  • Do not create single-table pattern pages.
  • Do not copy credentials, tokens, user emails, or unredacted literals into evidence.
// source originale publique
Kaelio/ktx
/packages/cli/src/skills/historic_sql_patterns/SKILL.md
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/SKILL.md" "https://raw.githubusercontent.com/Kaelio/ktx/main/packages/cli/src/skills/historic_sql_patterns/SKILL.md"
Ensuite dans Claude Code, tapez /SKILL pour l'activer.
open_in_newVoir la source originale
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// informations
CréateurKaelio
Étoiles 1.5k
CatégorieBackend
LicenceApache License 2.0
Mis à jour21 juin 2026
Format.md
AccèsGratuit
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