sql plugins

by Paweł Huryn

Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.

by Data Analytics Maintainers

Answer product and business questions with data

by Neon

Manage Neon Serverless Postgres projects and databases with the neon-postgres agent skill and the Neon MCP Server

by Claude Code Plugins

Profile and optimize database queries for performance

by Jeremy Longshore

Dolt/DoltHub version-control toolkit for Claude Code, via the dolthub/dolt-mcp server. A version-control-surface skill + expert agents over a Dolt backend — diagnosing DoltHub visibility, taming server sprawl, auditing the graph, and recovering incidents — with a verb-class mutation gate that keeps destructive ops (push/merge/reset/branch-delete) recommend-only. Ships the beads (bd) task-tracker as use-case adapter #1 today; evolving to a dialect-invariant core with thin flavor adapters (Dolt/Doltgres/DoltLite/DumboDB). Formerly `beads-dolt`.

by Claude Code Plugins

Analyze and optimize SQL queries for better performance, suggesting indexes, query rewrites, and execution plan improvements

by Claude Code Plugin Hub

Database testing utilities with test data setup, transaction rollback, and schema validation

by Claude Code Plugins

Profile and optimize database queries for performance

by Jeremy Longshore

Dolt/DoltHub version-control toolkit for Claude Code, via the dolthub/dolt-mcp server. A version-control-surface skill + expert agents over a Dolt backend — diagnosing DoltHub visibility, taming server sprawl, auditing the graph, and recovering incidents — with a verb-class mutation gate that keeps destructive ops (push/merge/reset/branch-delete) recommend-only. Ships the beads (bd) task-tracker as use-case adapter #1 today; evolving to a dialect-invariant core with thin flavor adapters (Dolt/Doltgres/DoltLite/DumboDB). Formerly `beads-dolt`.

by Claude Code Plugins

Analyze and optimize SQL queries for better performance, suggesting indexes, query rewrites, and execution plan improvements

by Claude Code Plugins

Profile and optimize database queries for performance

by Claude Code Plugins

Analyze and optimize SQL queries for better performance, suggesting indexes, query rewrites, and execution plan improvements

by Amazon Web Services

Expert database guidance for the AWS database portfolio. Design schemas, execute queries, handle migrations, and choose the right database for your workload.

by Data Analytics Maintainers

Answer product and business questions with data

by Eduard Jiglau

Comprehensive ABAP development skill for SAP systems. Use when writing ABAP code, working with internal tables, structures, ABAP SQL, object-oriented programming, RAP (RESTful Application Programming Model), CDS views, EML statements, ABAP Cloud development, string processing, dynamic programming, RTTI/RTTC, field symbols, data references, exception handling, or ABAP unit testing. Covers both classic ABAP and modern ABAP for Cloud Development patterns.

by Eduard Jiglau

SAP Cloud Application Programming Model (CAP) development skill using Capire documentation. Use when: building CAP applications, defining CDS models, implementing services, working with SAP HANA/SQLite/PostgreSQL databases, deploying to SAP BTP Cloud Foundry or Kyma, implementing Fiori UIs, handling authorization, multitenancy, or messaging. Covers CDL/CQL/CSN syntax, Node.js and Java runtimes, event handlers, OData services, and CAP plugins.

by Eduard Jiglau

Assists with SAP HANA Developer CLI (hana-cli) for database development and administration. Use when: installing hana-cli, connecting to SAP HANA databases, inspecting database objects (tables, views, procedures, functions), managing HDI containers, executing SQL queries, converting metadata to CDS/EDMX/OpenAPI formats, managing SAP HANA Cloud instances, working with BTP CLI integration, or troubleshooting hana-cli commands. Covers: 91 commands, 17+ output formats, HDI container management, cloud operations.

by Eduard Jiglau

Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects.

by Eduard Jiglau

SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage

by Eduard Jiglau

This skill should be used when the user asks to "write a SQLScript procedure", "create HANA stored procedure", "implement AMDP method", "optimize SQLScript performance", "handle SQLScript exceptions", "debug HANA procedure", "create table function", "inspect a browser-based Datasphere SQL editor with Microsoft Edge CDP", or mentions SQLScript, SAP HANA procedures, AMDP, EXIT HANDLER, or code-to-data paradigm. Comprehensive SQLScript development guidance for SAP HANA database programming including syntax patterns, built-in functions, exception handling, performance optimization, cursor management, and ABAP Managed Database Procedure (AMDP) integration.

by Sidemantic

Build, validate, and query Sidemantic semantic models, answer business questions with trusted metrics, and generate analytics webapps.

by ScaleVector GmbH

Build SQL database pipelines with dlt: connect to any SQL source, load tables to a destination, tune performance with backends

by Alberto Leal

DuckDB — in-process columnar OLAP SQL engine in a single binary ("SQLite for analytics"). Use when querying Parquet/CSV/JSON files directly with SQL, using the `duckdb` CLI shell (REPL or `-c`/`-json` one-shots), friendly SQL (FROM-first, `SELECT * EXCLUDE`, `GROUP BY ALL`, `SUMMARIZE`, `PIVOT`), converting CSV↔Parquet↔JSON via `COPY`, reading HTTP/S3 via httpfs, or `ATTACH`-ing Postgres/MySQL/SQLite. Includes `(duckdb vX.Y+)` annotations; the CLI/SQL engine, not client libraries.

by Alberto Leal

The PostgreSQL SQL dialect & data types that set Postgres apart from generic SQL. Use when writing or debugging Postgres-specific SQL — upsert (`ON CONFLICT`), `RETURNING`, `MERGE`, CTEs, window frames, `GROUPING SETS`, `LATERAL`, generated/identity columns, partitioning, `jsonb`/jsonpath/SQL-JSON (`JSON_TABLE`), arrays, ranges, composite/enum/domain types, `uuidv7()`. Includes `(pgNN+)` annotations. Dialect & types — client -> psql, tuning -> postgres-performance, config -> postgres-admin.