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Dashboard Creator

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Rylaispirit
dashboard-creator

Design, build, and verify practical dashboards for KPIs, trends, comparisons, status monitoring, filters, charts, and operational decisions.

Overview

PublisherRylaispirit
Repositoryrylai-codex-hermes-skills
Skill namedashboard-creator
Stars
63
Forks
42
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Rylaispirit on GitHub. Read the source before you install it.

Installation

Install the Dashboard Creator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/dashboard-creator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Rylaispirit/rylai-codex-hermes-skills.git /tmp/rylai-codex-hermes-skills
mkdir -p .claude/skills
cp -r /tmp/rylai-codex-hermes-skills/skills/dashboard-creator .claude/skills/dashboard-creator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dashboard Creator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dashboard Creator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dashboard Creator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Rylai Dashboard Creator

Build the working dashboard as the primary experience. Optimize for scanning, comparison, and repeated use.

Establish The Metric Contract

For each metric, determine:

  • exact definition and unit;
  • source and refresh time;
  • aggregation level and time window;
  • comparison baseline;
  • whether higher or lower is desirable;
  • states for missing, delayed, partial, and invalid data.

Do not invent values to make a screen look complete. Clearly label sample data when a prototype requires it.

Build Workflow

  1. Inspect the target

    • Reuse the repository's framework, components, tokens, and data-access patterns.
    • For a standalone deliverable, choose the smallest format that supports the required interaction.
  2. Create the information hierarchy

    • Put global filters and freshness near the top.
    • Show a small set of decision-critical KPIs first.
    • Follow with trends, comparisons, breakdowns, and detailed records.
    • Keep related controls beside the view they affect.
  3. Choose visual forms

    • Line: change over ordered time.
    • Bar: comparison across categories.
    • Scatter: relationship or outliers.
    • Distribution: spread and concentration.
    • Table: exact values, dense comparison, or operational action.
    • Progress: bounded completion against a known target.
  4. Implement states

    • Loading, empty, error, stale, and permission-limited states must preserve layout.
    • Filters must have visible active values and a clear reset path.
    • Tooltips must add detail, not carry essential meaning.
  5. Verify

    • Test realistic long labels, zero values, negative values, and missing values.
    • Check desktop and mobile widths.
    • Confirm keyboard access, focus visibility, contrast, and non-color status cues.
    • Validate calculations against the source data.
    • Inspect the rendered dashboard for clipping, overlap, and layout shift.

Presentation Rules

  • Use restrained surfaces and compact spacing appropriate to operational software.
  • Keep cards for individual metrics or repeated records; do not wrap every section in a card.
  • Use consistent scales across charts that users will compare.
  • Start numeric axes at zero for bars unless a different baseline is explicitly justified.
  • Show units in labels or values, not only in explanatory text.
  • Avoid decorative graphics that compete with the data.
  • Keep table headers visible and align numbers for comparison.

Delivery

Provide:

  • the runnable dashboard or edited application;
  • the data assumptions and metric definitions;
  • the preview path or local URL;
  • the viewport and interaction checks performed;
  • any unavailable live data or unresolved integration requirement.

Runtime Notes

  • Resolve files from the active workspace and keep generated assets local.
  • Use installed icon and chart libraries when the existing project already depends on them.
  • For a standalone dashboard, avoid unnecessary network dependencies.
  • Preserve compatibility with both Codex, Hermes, and Claude by checking available tools before invoking runtime-specific features.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dashboard Creator AI skill do?

Design, build, and verify practical dashboards for KPIs, trends, comparisons, status monitoring, filters, charts, and operational decisions.

Why use Dashboard Creator on TypingMind?

Because you install it once and use it with any model. Dashboard Creator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dashboard Creator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/dashboard-creator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dashboard Creator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dashboard Creator?

As many as you like. As long as a model supports skills, you can use Dashboard Creator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dashboard Creator AI skill free?

Yes. It is published on GitHub by Rylaispirit under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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