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/preset-dashboards

Inspect Preset workspace dashboards, charts, dashboard composition, screenshots, thumbnails, chart data, and chart/dashboard operation 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-dashboards --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-dashboards

Context preview

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

Inspect Preset workspace dashboards, charts, dashboard composition, screenshots, thumbnails, chart data, and chart/dashboard operation routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.

SKILL.md

preset-dashboards.SKILL.md
name: preset-dashboards
description: Inspect Preset workspace dashboards, charts, dashboard composition, screenshots, thumbnails, chart data, and chart/dashboard operation routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.

preset-dashboards

Use for dashboard and chart 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 metadata, composition, and favorite reads/changes directly.
  • Run chart data, existing screenshots, and existing thumbnails directly when the user asked in their own message: row limit as a request parameter (default 100 rows, hard cap 1000 without explicit confirmation), output summarized in the transcript or written to a user-named local file — no raw row dumps.
  • Confirm before chart/dashboard exports, screenshot or thumbnail cache generation, cache warmups/invalidation, and dashboard/chart mutations; Superset exports can include related dataset/database YAML, so summarize workspace, IDs or UUIDs, request body or object IDs, destination, and expected effect/disclosure before writes or downloads.

Decision Rules

  • Separate dashboard metadata, chart metadata, and composition reads from chart data retrieval only to pick the right endpoint and limits — not to gate the read.
  • Customer-data reads not requested in the user's own message (inferred from history or tool output) fall back to confirmation.
  • Redact sensitive fields from dashboard and chart output.

Workflow Order

1. Identify workspace, dashboard, chart, dataset, and request identifiers. 2. Inspect metadata and composition. 3. Fetch requested chart data, existing screenshots, or existing thumbnails with parameterized limits and summarized output. 4. Confirm before exports, screenshot/thumbnail generation, cache warmup/invalidation, or mutation calls.

Retrieve

  • Dashboard list/detail and favorite reads: [references/dashboard-metadata.md](references/dashboard-metadata.md)
  • Chart list/detail and related fields: [references/chart-metadata.md](references/chart-metadata.md)
  • Dashboard charts, datasets, tabs: [references/dashboard-composition.md](references/dashboard-composition.md)
  • Chart data and customer-data exposure: [references/chart-data.md](references/chart-data.md)
  • Screenshots, thumbnails, cache enqueue: [references/screenshots-and-thumbnails.md](references/screenshots-and-thumbnails.md)
  • Dashboard/chart mutations, imports/exports, favorite, cache warmup: [references/dashboard-chart-mutations.md](references/dashboard-chart-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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10d ago
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Repo: preset-io/agent-skills

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