How do I install the Preset Datasets skill?

Run npx skillmds@latest add preset-io/preset-datasets in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Preset Datasets safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Preset Datasets?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Preset Datasets free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Preset Datasets?

preset-io (@preset-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Preset Datasets by preset-io — Agent Skill

Name: Preset Datasets
Author: preset-io

Preset Datasets

Inspect Preset workspace datasets, database metadata, schemas, tables, columns, metrics, and dataset/database workflow routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.

preset-io 000fb01 8 files · 12.0 KB Updated Sep 17, 2026

File contents

preset-datasets

Use for dataset and database metadata inspection in a resolved Preset workspace.

Always

Auth and conventions come from preset-api (JWT exchange, base URLs, Rison); resolve the workspace hostname through the Management API when it is not already known. Consult preset-superset only when version drift matters.
Run schema, table, dataset, column, and metric metadata reads directly.
Run samples, distinct values, and datasource values directly when the user asked in their own message with an explicit table/column target: row/value limit as a request parameter (default 100, hard cap 1000 without explicit confirmation), output summarized — no raw row dumps.
Connection configuration stays confirmation-gated; route credential-bearing database connection work to preset-database-connections.
Require confirmation before dataset/database mutations, uploads, cache changes, imports, exports, validation, or SQL execution.
Do not create, update, delete, duplicate, import, refresh schemas, upload files, test databases, validate SQL, or run SQL Lab queries from this skill without confirmation and focused routing.

Decision Rules

Treat schema, table, dataset, column, and metric inspection as read-only metadata.
Distinguish metadata inspection from data-returning reads.
Use database identity from discovered environment facts or API results.
Avoid credential-bearing connection fields; route those to preset-database-connections.

Workflow Order

Resolve database connection.
Inspect schemas, tables, datasets, columns, and metrics metadata.
Fetch explicitly requested samples or distinct values with parameterized limits and summarized output.
Confirm before exports, mutations, uploads, cache changes, imports, validation, SQL execution, or credential-bearing connection work.

Retrieve

Database list/detail and available database metadata: references/database-metadata.md
Dataset list/detail, columns, metrics, related objects: references/dataset-metadata.md
Catalogs, schemas, tables, table metadata, functions: references/table-and-schema-metadata.md
Samples, distinct values, datasource values: references/data-returning-reads.md
Connection configuration routing: references/connection-configuration.md
Dataset/database mutations and routing: references/dataset-database-mutations.md

---name: preset-datasetsdescription: Inspect Preset workspace datasets, database metadata, schemas, tables, columns, metrics, and dataset/database workflow routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.---# preset-datasetsUse for dataset and database metadata inspection in a resolved Preset workspace.## Always- Auth and conventions come from `preset-api` (JWT exchange, base URLs, Rison); resolve the workspace hostname through the Management API when it is not already known. Consult `preset-superset` only when version drift matters.- Run schema, table, dataset, column, and metric metadata reads directly.- Run samples, distinct values, and datasource values directly when the user asked in their own message with an explicit table/column target: row/value limit as a request parameter (default 100, hard cap 1000 without explicit confirmation), output summarized — no raw row dumps.- Connection configuration stays confirmation-gated; route credential-bearing database connection work to `preset-database-connections`.- Require confirmation before dataset/database mutations, uploads, cache changes, imports, exports, validation, or SQL execution.- Do not create, update, delete, duplicate, import, refresh schemas, upload files, test databases, validate SQL, or run SQL Lab queries from this skill without confirmation and focused routing.## Decision Rules- Treat schema, table, dataset, column, and metric inspection as read-only metadata.- Distinguish metadata inspection from data-returning reads.- Use database identity from discovered environment facts or API results.- Avoid credential-bearing connection fields; route those to `preset-database-connections`.## Workflow Order1. Resolve database connection.2. Inspect schemas, tables, datasets, columns, and metrics metadata.3. Fetch explicitly requested samples or distinct values with parameterized limits and summarized output.4. Confirm before exports, mutations, uploads, cache changes, imports, validation, SQL execution, or credential-bearing connection work.## Retrieve- Database list/detail and available database metadata: [references/database-metadata.md](references/database-metadata.md)- Dataset list/detail, columns, metrics, related objects: [references/dataset-metadata.md](references/dataset-metadata.md)- Catalogs, schemas, tables, table metadata, functions: [references/table-and-schema-metadata.md](references/table-and-schema-metadata.md)- Samples, distinct values, datasource values: [references/data-returning-reads.md](references/data-returning-reads.md)- Connection configuration routing: [references/connection-configuration.md](references/connection-configuration.md)- Dataset/database mutations and routing: [references/dataset-database-mutations.md](references/dataset-database-mutations.md)

Frequently asked questions