Frontend Integration Yaml logo

Frontend Integration Yaml

OrganizationPopular
kubesphere
frontend-integration-yaml

Generate canonical FrontendIntegration YAML from a simplified single-menu authoring model for frontend-forge.

Overview

Publisherkubesphere
Repositorykubesphere
Skill namefrontend-integration-yaml
Stars
17.1K
Forks
2.8K
Bundled files
3
Links
Skill sourceRepositoryHomepage
  • 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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Frontend Integration Yaml 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.
  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/kubesphere/kubesphere.git /tmp/kubesphere
mkdir -p .claude/skills
cp -r /tmp/kubesphere/skills/frontend-integration-yaml .claude/skills/frontend-integration-yaml
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frontend Integration Yaml 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 Frontend Integration Yaml 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 Frontend Integration Yaml 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.

Frontend Integration YAML

Generate submit-ready FrontendIntegration YAML from a simplified authoring model with one menu and one or more pages.

When to Use

  • generate FrontendIntegration YAML
  • create a quick integration YAML from a CRD
  • create an iframe based FrontendIntegration YAML
  • convert simplified single-menu config into canonical YAML

Do Not Use

  • troubleshooting existing FrontendIntegration resources
  • managing enable/disable/delete lifecycle
  • inspecting JSBundle, Job, controller, or status flows
  • editing manifest generation rules
  • handling multi-menu authoring models

Required Inputs

Ask the user instead of guessing when any of these are missing:

  • metadata.name
  • menu.displayName
  • menu.placements[]
  • at least one page in pages[]
  • for crdTable: group, version, scope, names.plural
  • for iframe: key and iframe.src

Authoring Model

Use the simplified single-menu model as input to the generator:

  • top-level metadata
  • top-level spec for optional passthrough fields
  • top-level menu
  • top-level pages

Do not author canonical spec.menus[] by hand.

Workflow

  1. Extract the simplified authoring model.
  2. Fill only safe defaults.
  3. Keep the model in single-menu form.
  4. Run scripts/generate_frontend_integration.py.
  5. Return the generated canonical YAML.

Rules

  • Treat the generator script as the source of truth.
  • Do not manually reconstruct canonical YAML when the generator is available.
  • Always output canonical kind: FrontendIntegration.
  • Always expand menu.placements[] into spec.menus[].
  • Always derive children from pages[].
  • If any placement is workspace, force all crdTable.scope values to Namespaced.
  • Default menu.icon to GridDuotone when it is omitted.
  • Do not add runtime-managed metadata unless explicitly requested.

Output

  • Return the generated YAML first, unless explanation is requested.
  • Prefer a single yaml code block.
  • After the YAML, always output this exact guidance line: FrontendIntegration YAML has been generated. Reply 'apply' to deploy it directly.

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 Frontend Integration Yaml AI skill do?

Generate canonical FrontendIntegration YAML from a simplified single-menu authoring model for frontend-forge.

Why use Frontend Integration Yaml on TypingMind?

Because you install it once and use it with any model. Frontend Integration Yaml 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 Frontend Integration Yaml in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kubesphere/kubesphere/tree/master/skills/frontend-integration-yaml. 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 Frontend Integration Yaml?

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 Frontend Integration Yaml?

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

Is the Frontend Integration Yaml AI skill free?

It is published on GitHub by kubesphere. Check the repository for licensing terms. 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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