Cue Kind Definition logo

Cue Kind Definition

Organization
grafana
cue-kind-definition

Author CUE kind definitions for grafana-app-sdk apps - schemas, versioning, field constraints, named type definitions, custom routes, and codegen configuration. Scaffolds kinds via `grafana-app-sdk project kind add`, writes spec/status schemas with type constraints (regex, enum, range), defines `#`-prefixed named types for reusable structs, registers versions in the app manifest, and runs `grafana-app-sdk generate` with explicit error recovery. Use when working with CUE kinds, adding a new resource type, adding a version to an existing kind, writing schema field constraints, defining `#Definition` types, adding custom routes, editing files under `kinds/`, or when the user asks to "model a resource", "add a CUE schema", or "write a kind" — even without saying "CUE" explicitly.

Overview

Publishergrafana
Repositoryskills
Skill namecue-kind-definition
Stars
289
Forks
27
Bundled files
5
LicenseApache-2.0
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Cue Kind Definition 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/grafana/skills/tree/main/skills/grafana-app-sdk/cue-kind-definition
  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/grafana/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/grafana-app-sdk/cue-kind-definition .claude/skills/cue-kind-definition
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cue Kind Definition 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 Cue Kind Definition 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 Cue Kind Definition 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.

CUE Kind Definition

Common Workflows

Adding a new kind

bash
# 1. Scaffold the kind files
grafana-app-sdk project kind add MyKind --overwrite
# Produces kinds/mykind.cue + kinds/mykind_v1alpha1.cue + updates kinds/manifest.cue.

# 2. Edit the generated .cue files — fill in schema.spec / schema.status fields

# 3. Generate types and clients
grafana-app-sdk generate

# 4. Verify the generated artifacts exist
ls pkg/generated/    # should contain new types for MyKind

If generate fails with CUE errors:

  • Read the error — CUE prints the offending file + line + which constraint failed
  • Common causes: missing required field, type mismatch (e.g. string field assigned an int), unresolved reference between version files
  • Fix the .cue source, re-run grafana-app-sdk generate. Never edit files under pkg/generated/ — they're overwritten on every run.

Adding a new version to an existing kind

bash
# 1. Copy the existing version file
cp kinds/mykind_v1alpha1.cue kinds/mykind_v1.cue

# 2. Edit kinds/mykind_v1.cue — rename the top-level object (e.g. myKindv1) and adjust the schema

# 3. Register the new version in kinds/manifest.cue
#    Add a versions["v1"]: { schema: myKindv1 } entry

# 4. Re-generate
grafana-app-sdk generate

# 5. Verify both versions were generated — per-version Go types live under pkg/generated/<group>/<version>/
ls pkg/generated/             # should list both version directories (e.g. v1alpha1/ v1/)
# Optionally inspect the CRD spec under definitions/ to confirm both versions appear in `spec.versions[]`

Breaking changes (removing fields, changing types, adding required fields) must go into a new version — never modify a stable version (v1, v2) in place.

Kind file structure

The CLI produces a flat layout under kinds/:

kinds/
├── manifest.cue           # App manifest + version list declarations
├── mykind.cue             # Common (cross-version) kind metadata
└── mykind_v1alpha1.cue    # v1alpha1 schema + codegen config

For multi-version kinds, additional version files sit alongside (mykind_v1.cue, etc.). For very large kind sets (10+ kinds), consider the per-kind subdirectory layout — full kind anatomy reference in references/kind-layout.md.

CUE Kind Anatomy

Three layers per kind:

1. Common kind metadata

cue
// kinds/mykind.cue
package kinds

myKind: {
    kind: "MyKind"               // Required: PascalCase kind name
    // other cross-version fields (scope, pluralName, validation, mutation, conversion, …)
    // Full field reference in references/kind-layout.md.
}

2. Per-version schema

cue
// kinds/mykind_v1alpha1.cue
package kinds

myKindv1alpha1: myKind & {
    schema: {
        spec: {                       // desired state — user-set
            title:       string
            description: string | *""
            count:       int & >=0
            enabled:     bool | *true
        }
        status: {                     // observed state — operator-set
            lastObservedGeneration: int | *0
            state:                  string | *""
            message:                string | *""
        }
    }
    codegen: {
        ts: { enabled: true }
        go: { enabled: true }
    }
}

3. App manifest

cue
// kinds/manifest.cue
package kinds

App: {
    appName: "my-app"
    versions: {
        "v1alpha1": { schema: myKindv1alpha1 }
    }
}

Codegen configuration

Control what gets generated per kind per version:

cue
codegen: {
    ts: { enabled: true | false }   // TypeScript types
    go: { enabled: true | false }   // Go types + client
}

Disabling go for frontend-only apps avoids unused Go code. Disabling ts for backend-only resources reduces bundle size. Both default to true when omitted.

References

External resources

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 Cue Kind Definition AI skill do?

Author CUE kind definitions for grafana-app-sdk apps - schemas, versioning, field constraints, named type definitions, custom routes, and codegen configuration. Scaffolds kinds via `grafana-app-sdk project kind add`, writes spec/status schemas with type constraints (regex, enum, range), defines `#`-prefixed named types for reusable structs, registers versions in the app manifest, and runs `grafana-app-sdk generate` with explicit error recovery. Use when working with CUE kinds, adding a new resource type, adding a version to an existing kind, writing schema field constraints, defining `#Defi...

Why use Cue Kind Definition on TypingMind?

Because you install it once and use it with any model. Cue Kind Definition 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 Cue Kind Definition in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/grafana/skills/tree/main/skills/grafana-app-sdk/cue-kind-definition. 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 Cue Kind Definition?

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 Cue Kind Definition?

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

Is the Cue Kind Definition AI skill free?

Yes. It is published on GitHub by grafana under the Apache-2.0 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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