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.
SignalPilot-Labs/codex-signalpilot-plugin
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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/SignalPilot-Labs/codex-signalpilot-plugin.Loading the repository README…
Skills in this repository
Showing 15 of 15 collected skills.
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.
Populate the knowledge base from dbt project research. Proposes entries across all 6 categories at org, project, and connection scopes.
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,…
Loaded at Step 2 for the full workflow. Covers column naming, type preservation, JOIN defaults, lookup joins, sibling models, materialization, packages, and filtering rules.
E-commerce domain knowledge: transaction lifecycle, driving tables, status filtering.
Financial reporting rules: grain consistency, balance sheets, double-entry ledgers, fiscal year boundaries, period-over-period calculations.
Media & entertainment domain knowledge: content catalogs, participation tables, ranking determinism.
Load when hitting DuckDB syntax errors or writing DuckDB-specific SQL. Covers gotchas that differ from PostgreSQL/MySQL.
Write a technical spec after research. Distills exploration into structured decisions. On retries, read the existing spec instead of re-researching.
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…
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.
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…
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.
Generates an HTML report summarizing dbt project work: decisions, SQL, queries, verifier results, and visual charts. Only load when explicitly requested.