MCPInstall

dashboard-guidelines

Use when creating or reviewing Kibana assets in packages, including dashboard export structure, naming, and data stream alignment.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/elastic/integration-skills --skill dashboard-guidelines
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads dashboard-guidelines automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

dashboard-guidelines

When to use

Use this skill when tasks include:

  • creating new Kibana dashboards for an integration package
  • reviewing dashboard JSON changes in kibana/ folders
  • exporting dashboard updates from Kibana into package source
  • verifying dashboard naming and file layout against package spec
  • checking dashboard/data stream alignment through data_stream.dataset filtering

When not to use

Do not use this skill as the primary guide for:

  • package and data stream directory scaffolding (create-integration, package-structure)
  • ingest pipeline parsing and normalization logic (ingest-pipelines)
  • package-wide command orchestration and stack lifecycle decisions (elastic-package-cli)
  • test suite selection outside dashboard-focused checks (integration-testing → references/system-testing.md)

Preconditions

Before creating or updating dashboard assets, verify:

  1. you are in the correct package directory (packages/<package_name>/)
  2. Kibana/Elastic services are available for editing and exporting assets
  3. sample data exists and dashboards can be validated against realistic events/metrics
  4. package manifest.yml compatibility constraints (conditions.kibana.version) are understood

Workflow: create, export, validate

  1. Build or update dashboards in Kibana.
    • Prefer Lens for new visualizations.
    • Keep panels in the dashboard itself (by value) unless shared-library behavior is intentionally required.
  2. Export assets back into the package.
# from package root
elastic-package export
  1. If you need to modify installed managed dashboards before exporting:
elastic-package edit dashboards
elastic-package export dashboards
  1. Review exported files under kibana/:

    • file names match package spec
    • no stale field names after mapping changes
    • dashboard filters are scoped to integration datasets
  2. Run package validation commands before opening a PR:

elastic-package check

Naming conventions

Use naming conventions from dashboard creation guidance:

  • Visualization title:
    • <Name> (avoid repeating package name in each panel title)
  • Dashboard title:
    • [<Metrics | Logs> <PACKAGE NAME>] <Name>
    • examples: [Metrics System] Host overview, [Logs Nginx] Access overview
  • Dashboard asset file:
    • {PACKAGE_NAME}-{identifier}.json
    • example: nginx-046212a0-a2a1-11e7-928f-5dbe6f6f5519.json

Design and modeling best practices

  • Use stable released Kibana versions (avoid SNAPSHOT).
  • Keep dashboards focused; split overloaded boards and provide navigation links.
  • Prefer by-value panels so dashboards remain self-contained.
  • Prefer Lens over TSVB for new visualizations.
  • Add controls using dashboard-native Controls (not deprecated input controls visualization).
  • Include dataset-aware filtering to prevent broad logs-* / metrics-* queries where possible.
    • baseline recommendation: filter by data_stream.dataset
  • Keep visual hierarchy clear:
    • most important summary panels near the top
    • related charts grouped together
    • margins enabled for readability
  • Use concise, self-explanatory panel titles and consistent accessible colors.

Quality checklist before PR

  • dashboard assets are in kibana/dashboard/ and follow expected naming pattern
  • dashboard content reflects current field names and types
  • visualizations are embedded by value unless there is a documented exception
  • dashboard or panel queries include integration-relevant filters (data_stream.dataset when applicable)
  • controls/drilldowns/navigation are coherent for multi-dashboard packages
  • exported dependencies are committed (dashboards plus required saved objects)
  • elastic-package check passes for the package

Common pitfalls

  • exporting from an unstable Kibana build and committing incompatible saved object data
  • using generic, unfiltered logs-*/metrics-* queries that cause noisy or slow panels
  • keeping stale field references after pipeline/field mapping changes
  • overloading one dashboard instead of splitting into overview and deep-dive views
  • relying on library visualizations unintentionally, causing hidden dependencies
  • inconsistent naming between dashboard title, file name, and package context

Handoff to other skills

After dashboard updates are in place, continue with:

  1. dashboard-review for reviewing dashboard JSON changes in a PR or branch
  2. integration-testing → references/system-testing.md for system test validation
  3. elastic-package-cli for broader check/lint/test command selection
  4. package-spec when dashboard changes require a release note entry

References

  • references/kibana-assets-layout.md

FAQ

What does the dashboard-guidelines skill do?

Use when creating or reviewing Kibana assets in packages, including dashboard export structure, naming, and data stream alignment.

How do I install dashboard-guidelines?

Run npx skills add https://github.com/elastic/integration-skills --skill dashboard-guidelines in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dashboard-guidelines/ (personal) or .claude/skills/dashboard-guidelines/ (project).

Which AI agents can use dashboard-guidelines?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is dashboard-guidelines safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains dashboard-guidelines?

It is published by elastic in elastic/integration-skills. It has 508 recorded installs.

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