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/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.

From plugin
preset-io-agent-skills
1228 skills
Install
$ npx -y skills add preset-io/agent-skills --skill preset-datasets --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/preset-datasets

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

preset-datasets.SKILL.md
name: preset-datasets
description: 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-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

1. 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)
Read more
Ships withpreset-io-agent-skills

Agent guidance for working with Preset, Apache Superset, and Superset MCP tools. The skills work across Claude, OpenAI Codex, Cursor, GitHub Copilot, Snowflake Cortex Code CLI, and Gemini CLI from a single source.

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Repo: preset-io/agent-skills

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