Populate the knowledge base from dbt project research. Proposes entries across all 6 categories at org, project, and connection scopes.
原文の言語: 英語
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SkillsMP は SignalPilot-Labs/SignalPilot から 31 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 31 件中 31 件を表示しています。
Populate the knowledge base from dbt project research. Proposes entries across all 6 categories at org, project, and connection scopes.
原文の言語: 英語
Load when working with Xata Postgres branches: forking a branch, building or testing dbt models on a branch, wiring dbt to a branch's credentials, diffing two branches, or the pre-merge impact report. Covers create_xata_branch, delete_xata_branch,…
原文の言語: 英語
Load at Step 1 before exploring the project. Covers output shape inference, incremental model handling, and what to trust in YML.
原文の言語: 英語
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…
原文の言語: 英語
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,…
原文の言語: 英語
Loaded at Step 2 for the full workflow. Covers column naming, type preservation, JOIN defaults, lookup joins, sibling models, materialization, packages, and filtering rules.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
Load when task involves dbt snapshots, SCD Type 2, or tracking data changes over time. Covers strategy selection, column casing, verification, and common pitfalls.
原文の言語: 英語
Load when task involves adding, writing, or fixing dbt unit tests. Covers unit_tests YAML format, given/expect blocks, edge-case coverage, and the difference between unit tests and schema tests.
原文の言語: 英語
Load when task involves dbt model versioning, creating v2 of a model, or backward-compatible model changes. Covers versions YAML config, defined_in, latest_version, and ref() with version pins.
原文の言語: 英語
E-commerce domain knowledge: transaction lifecycle, driving tables, status filtering.
原文の言語: 英語
Financial reporting rules: grain consistency, balance sheets, double-entry ledgers, fiscal year boundaries, period-over-period calculations.
原文の言語: 英語
Healthcare data science rules: encounter-based grain, clinical coding hierarchies, cost allocation, NULL semantics in clinical data.
原文の言語: 英語
HR & operations rules: SCD current-record filtering, issue resolution metrics.
原文の言語: 英語
Marketing domain knowledge: attribution models, engagement funnel order.
原文の言語: 英語
Media & entertainment domain knowledge: content catalogs, participation tables, ranking determinism.
原文の言語: 英語
Product analytics rules: calendar spine cross-joins, date boundary caps, event type pivoting, first-run NULL behavior.
原文の言語: 英語
Load when hitting DuckDB syntax errors or writing DuckDB-specific SQL. Covers gotchas that differ from PostgreSQL/MySQL.
原文の言語: 英語
Write a technical spec after research. Distills exploration into structured decisions. On retries, read the existing spec instead of re-researching.
原文の言語: 英語
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…
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
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.
原文の言語: 英語
Generates an HTML report summarizing dbt project work: decisions, SQL, queries, verifier results, and visual charts. Only load when explicitly requested.
原文の言語: 英語
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.
原文の言語: 英語
Load at Step 4 when writing SQL models. Covers column naming, type preservation, JOIN defaults, lookup joins, sibling models, materialization, packages, and filtering rules.
原文の言語: 英語
Load when hitting DuckDB syntax errors or writing DuckDB-specific SQL. Covers gotchas that differ from PostgreSQL/MySQL.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語