BigQuery-specific SQL patterns: UNNEST for array expansion, STRUCT, ARRAY_AGG, DATE_DIFF/DATE_ADD, backtick-quoted table references, EXCEPT/REPLACE in SELECT, approximate aggregation, partitioned and wildcard tables.
Quellsprache: Englisch
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BigQuery-specific SQL patterns: UNNEST for array expansion, STRUCT, ARRAY_AGG, DATE_DIFF/DATE_ADD, backtick-quoted table references, EXCEPT/REPLACE in SELECT, approximate aggregation, partitioned and wildcard tables.
Quellsprache: Englisch
Load when dbt run or dbt parse fails. Covers YML duplicate patches, ref errors, passthrough model warnings, current_date fixes, DuckDB error messages, and zero-row diagnosis.
Quellsprache: Englisch
Populate the knowledge base from dbt project research. Proposes entries across all 6 categories at org, project, and connection scopes.
Quellsprache: Englisch
Load FIRST before any dbt project work. Covers the full 8-step dbt workflow: project scanning, skill loading, validation, macro discovery, research, technical spec, SQL writing, and verification. Also covers output shape inference, incremental model handling,…
Quellsprache: Englisch
Loaded at Step 2 for the full workflow. Covers column naming, type preservation, JOIN defaults, lookup joins, sibling models, materialization, packages, and filtering rules.
Quellsprache: Englisch
E-commerce domain knowledge: transaction lifecycle, driving tables, status filtering.
Quellsprache: Englisch
Financial reporting rules: grain consistency, balance sheets, double-entry ledgers, fiscal year boundaries, period-over-period calculations.
Quellsprache: Englisch
Media & entertainment domain knowledge: content catalogs, participation tables, ranking determinism.
Quellsprache: Englisch
Load when hitting DuckDB syntax errors or writing DuckDB-specific SQL. Covers gotchas that differ from PostgreSQL/MySQL.
Quellsprache: Englisch
Write a technical spec after research. Distills exploration into structured decisions. On retries, read the existing spec instead of re-researching.
Quellsprache: Englisch
BLOCKING REQUIREMENT: If the user's message mentions dbt, SQL, database, or data pipeline - invoke this skill as your FIRST tool call, BEFORE Read, Glob, Grep, Bash, or Agent. Covers: SignalPilot MCP tools, available skills, and the governed workflow for dbt…
Quellsprache: Englisch
Snowflake-specific SQL patterns: QUALIFY for window filtering, LATERAL FLATTEN for arrays, semi-structured VARIANT data, ILIKE for case-insensitive matching, date functions, and time travel.
Quellsprache: Englisch
Use this skill before writing any SQL query. Covers: output shape inference (cardinality clues from the question), efficient schema exploration, iterative CTE-based query building, structured verification loop (row count, NULL audit, fan-out check, sample…
Quellsprache: Englisch
SQLite-specific SQL patterns: substr/instr for string ops, || for concatenation, LIKE (no ILIKE), date()/strftime() for dates, CAST for type coercion, no FULL OUTER JOIN, GROUP_CONCAT, typeof(), COALESCE/IFNULL, printf() formatting.
Quellsprache: Englisch
Generates an HTML report summarizing dbt project work: decisions, SQL, queries, verifier results, and visual charts. Only load when explicitly requested.
Quellsprache: Englisch
README-Quelldatei: README.md
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