Skills

catalyst-datastore

Catalyst Data Store — relational cloud database with ZCQL, CRUD operations, table permissions, and result pagination. Requires MCP connection — check for the ZohoMCP_* meta-tools before any operation. Trigger on 'Data Store', 'ZCQL', 'create table', 'executeZCQLQuery', 'table permissions', 'ROWID',

bigquery-analytics

Use these skills when you need to handle advanced data intelligence and predictive tasks. Use when a user asks "why" data changed or needs future projections. Provides automated insight generation and time-series forecasting.

chdb-datastore

Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud,

oracledb

Use these skills to manage and monitor Oracle databases by executing SQL statements, exploring schema metadata, analyzing query performance, monitoring active sessions and resource consumption, and managing storage and object health.

clickhouse-architecture-advisor

MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system designs. Complements clickhouse-best-practices with decision frameworks and explicit provenance labels.

cloud-sql-mysql-data

Use these skills when you need to explore your database schema, execute SQL queries to interact with your data, and inspect how MySQL plans to execute your statements.

databricks-data-discovery

Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP. MUST be invoked whenever the user asks to find or locate data ('what tables are in X', 'where does X live', 'which catalog/schema has Y'), answer a natural-language question about the data, or write a S

aidp-federate

Federate across multiple data sources in one AIDP Spark session — read from several connectors (Oracle ADB/ExaCS, Fusion, Snowflake, S3, lakehouse tables, …) and join them in a single notebook. Use when the user wants to combine/join data from more than one source, blend an external system with the

aidp-peoplesoft

Read from Oracle PeopleSoft into a Spark DataFrame in an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions PeopleSoft, PSFT, HCM, FSCM, Campus Solutions, or has a PeopleSoft host/port. Auth is host/port + database name + user/password. Read-only.

expo-examples

Framework (OSS). Expo's official example projects - the expo/examples repo of ~70 `with-*` integrations (Stripe, Clerk, Supabase, OpenAI, maps, Reanimated, SQLite, Skia, NativeWind, and more). Use when integrating a third-party library or service into an existing Expo app and you want the canonical,

spatial

Answer questions about spatial data using DuckDB. Use when the user mentions locations, coordinates, lat/lng, distances, maps, addresses, "near", "within", "closest", geographic names, or spatial file formats (GeoJSON, Shapefile, GeoPackage, GPX, GeoParquet). Also triggers when the user wants to fin

pinecone:quickstart

Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time

cloud-sql-postgres-health

Use these skills when you need to audit database health, identify storage bloat, find invalid indexes, analyze table statistics, and manage maintenance configurations like autovacuum.

azuresql-db-connections

Makes an app's database connections reliable against the local Azure SQL Developer (Private Preview) and, unchanged, against Azure SQL Database in the cloud: connection pooling plus retry/transient-fault handling. Use when the user mentions "connection pooling", "retry logic", "transient fault", "re

cosmosdb-best-practices

Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, SDK usage, and vector search. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance dat

aidp-oracle-db

Read or write an Oracle Database (Compute / Base DB / on-prem / Oracle 19c, 21c, 23ai, 26ai non-Autonomous) from an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions Oracle Database, generic Oracle DB, on-prem Oracle, plain Oracle JDBC, port 1521, non-Auton

databricks-iceberg

Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External

dsql

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conver

diagnosing-failed-warehouse-syncs

Diagnose why a data warehouse sync is failing and recommend the right recovery action. Use when the user asks "why isn't my Stripe/Postgres/Hubspot sync working?", "this table has been stuck for hours", "the data in the warehouse looks wrong", or wants to troubleshoot a specific source or schema. Co

querying-data-lake

Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific da

catalyst-nosql

Catalyst NoSQL — key-value table store with typed items built via NoSQLItem builder. Partition key required. Trigger on 'NoSQL', 'nosql.table', 'insertItems', 'fetchItem', 'updateItems', 'deleteItems', 'queryTable', 'NoSQLItem', 'document storage', 'flexible schema', or 'Catalyst document database'.

manage-leads

Manages individual leads in Hunter — create, look up, update, or delete leads, tag them, and set custom attributes. Use when the user wants to add or edit a lead, tag contacts, organize leads with custom fields, or clean up their lead database.

identityserver4-migration

Migrating from IdentityServer4 to Duende IdentityServer v8. Covers NuGet package replacement, namespace changes, API surface changes, EF Core database schema migrations, .NET target framework upgrade, license configuration, signing key migration, data protection, and UI template updates.

federate-lakehouse-catalog

Sets up Google Cloud Lakehouse federated catalogs to remote Iceberg REST Catalogs. Currently supported catalogs: Databricks Unity, AWS Glue. Supported clouds hosting those catalogs: GCP, AWS. The primary use case is connecting to remote data to query it from GCP engines (BigQuery, Spark). Examples o