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Found 51 Skills
Query the german_shopping_receipts BigQuery table with bq. Use when the user asks about groceries, supermarket spend, item prices, or that table.
Explore an existing PostgreSQL database before answering questions about its data or writing SQL. Use this skill whenever a user asks for a query or a data-backed answer against an unfamiliar schema (counts, missing or failed records, recent changes), asks where a business concept lives, or asks how tables, joins, views, routines, triggers, RLS, or extensions work. Find the relevant objects with read-only pg_catalog queries, then request approval before inspecting data-derived statistics or rows. Not a schema-design or migration guide.
Drizzle TypeScript ORM with SQL-like syntax. Use for database access.
SQL query patterns, schema design, and optimization. Joins, CTEs, window functions, indexing, and anti-patterns. Use when writing SQL queries, designing schemas, optimizing database performance, or reviewing database code.
Audit every endpoint in a PostHog project for staleness, failed materialisations, and unused materialised versions. Use when the user asks "what endpoints can I clean up?", "are any of my endpoints broken?", "which materialised versions are still being called?", or wants a one-shot cleanup pass over the Endpoints product. Produces a prioritised report grouped by issue type, with recommended actions but does not modify anything without explicit confirmation.
Configure Spice.ai in-memory caching for SQL query results, search results, and embeddings. Use when setting up caching, tuning cache TTL/size/eviction, configuring stale-while-revalidate, custom cache keys, or cache-control headers.
Query Windows 11 version 24H2 cumulative update file information. Search for DLLs, drivers, and system files across all patch levels. Compare file versions between builds, track version history, and identify what changed in each update. Use when: (1) investigating which Windows build introduced a file version, (2) comparing file changes between patches, (3) finding DLL/driver versions for specific builds, (4) debugging Windows update regressions, (5) user asks about Windows 11 24H2 files, KB updates, or build versions.
Exécute des requêtes SQL en lecture seule sur plusieurs bases de données PostgreSQL. À utiliser pour : (1) interroger des bases PostgreSQL, (2) explorer les schémas/tables, (3) exécuter des requêtes SELECT pour l'analyse de données, (4) vérifier le contenu des bases. Supporte plusieurs connexions avec descriptions pour une sélection automatique intelligente. Bloque toutes les opérations d'écriture (INSERT, UPDATE, DELETE, DROP, etc.) par sécurité.
Provides MaxCompute SQL intelligent generation capabilities for AI agents, covering text2sql conversion principles, dialect syntax differences (DQL/DDL/DML), common query pattern templates (Top N, PIVOT, window functions, etc.), and ODPS error code diagnostics. Use when generating, debugging, or migrating MaxCompute / ODPS SQL.
Attach a DuckDB database file for use with /duckdb-skills:query. Explores the schema (tables, columns, row counts) and writes a SQL state file so subsequent queries can restore this session automatically via duckdb -init.
DingTalk AI Table (multidimensional table) business operations and CLI contract review. This Skill must also be loaded when only reviewing aitable synthetic JSON receipts; "Don't execute online business" does not exempt local offline contract verification; you cannot answer directly based on general JSON experience. Review is based on the verification entry point specified in the user's original text; background write commands are not additional targets; Agent-proposed Skill parameters must not expand the scope. When the user provides an aitable command, a form share synthetic receipt, a dry-run, or asks about a write recovery plan, this Skill must also be loaded; this is local Help/Schema contract verification, not repository source code review; do not start from source code search. First load the body to determine the entry point and rules; do not execute based solely on the summary. Applies to Base/Table, fields and records, comments, filtering/sorting, formulas, SQL/PostgreSQL/JOIN, form sharing and CP sync, App pages/Widget, templates, import/export, dashboards/charts, attachments, and approval data source sync. Does not handle spreadsheet cell operations (use dingtalk-misc) or text document editing (use dingtalk-doc).
Use when you need framework-agnostic MongoDB and non-relational database query guidance — document schema design, collection modeling, JSON Schema validation, indexes, aggregation pipelines, query performance, consistency trade-offs, transactions, and operational safety — without choosing Spring Boot, Quarkus, or Micronaut. This should trigger for requests such as Design MongoDB document schemas; Review MongoDB queries and indexes; Improve aggregation pipeline performance; Model non-relational data access patterns; Review NoSQL consistency and transaction trade-offs. Part of Plinth Toolkit