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Found 1,146 Skills
Database design and migration patterns for Alembic migrations, schema design (SQL/NoSQL), and database versioning. Use when creating migrations, designing schemas, normalizing data, managing database versions, or handling schema drift.
Develop and deploy Lakeflow Jobs on Databricks. Use when creating data engineering jobs with notebooks, Python wheels, or SQL tasks. Invoke BEFORE starting implementation.
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
Use this skill whenever writing, reviewing, debugging, or refactoring TypeScript code that uses the Effect-TS library. Trigger when you see imports from `effect`, `effect/*`, or any `@effect/*` scoped package (schema, platform, sql, opentelemetry, cli, cluster, rpc, vitest). Trigger on Effect-specific constructs: Effect.gen generators, Schema.Struct/Schema.Class definitions, Layer/Context.Tag/Service patterns, Effect.pipe pipelines, Data.TaggedError/Data.Class error types, Ref/Queue/PubSub/Deferred concurrency primitives, Match module, Config providers, Scope/Exit/Cause/Runtime patterns, or any code using Effect's typed error channel (E parameter). Also trigger when the user asks about Effect patterns, migration from Promises/fp-ts/neverthrow to Effect, or how to structure an Effect application. Covers the full ecosystem: core Effect type, Schema validation, error management, concurrency (fibers, queues, semaphores, pools), streams/sinks, services and layers (DI), resource management, scheduling, observability, platform APIs, and AI integration. Do NOT trigger for React's useEffect, Redux side effects, or general English usage of "effect" unless the context clearly involves the Effect-TS library.
Open-source lightweight cross-platform database management tool built with Tauri, Vue 3, and Rust supporting MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, and SQL Server.
Every Dub feature, plus offline search, agent-native output, and a local SQLite store no other Dub tool has. Trigger phrases: `shorten a link with Dub`, `audit my Dub links`, `find dormant Dub links`, `review Dub bounty submissions`, `Dub partner leaderboard`, `use dub-pp-cli`, `run dub-pp-cli`.
Every Twilio Core feature, plus offline message and call history, FTS, and SQL-grade analytics no other Twilio tool... Trigger phrases: `send an SMS via Twilio`, `list Twilio messages`, `Twilio call recordings`, `Twilio usage cost`, `Twilio opt-out audit`, `use twilio`, `run twilio`.
Use when automating or advising on MotherDuck REST API control-plane workflows for service-account provisioning, supported access-token lifecycle operations, Duckling instance configuration, active account inspection, or Dive embed sessions. Do not use for SQL or data-plane query work.
Auto-activate for pytest_databases, Docker DB fixtures, PostgreSQL/pgvector/AlloyDB Omni/MySQL/Oracle/MSSQL/CockroachDB/Yugabyte/MongoDB/GizmoSQL/Redis/Spanner/BigQuery/Azurite/MinIO tests. Not for mocked DBs.
Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.
Creates new Robot Framework test cases for SnapLogic pipeline testing. Use when the user wants to create a new test file, add test cases to existing files, or needs test templates for specific system types (Oracle, PostgreSQL, Snowflake, etc.).
Schema design best practices for OceanBase database (MySQL & Oracle modes). Covers table design, partitioning strategies, table groups, index design, and schema optimization principles. Activates for schema design, table design, partition design, index design, database design, DDL.