Frontend Forge Fi Operations logo

Frontend Forge Fi Operations

OrganizationPopular
kubesphere
frontend-forge-fi-operations

Operate FrontendIntegration resources and the frontend-forge extension. Use when Codex needs to create a FrontendIntegration from FrontendIntegration YAML, update or patch FI lifecycle state, inspect or troubleshoot FI build output, or create, enable, disable, uninstall, and inspect the frontend-forge extension through its InstallPlan and extension resources.

Overview

Publisherkubesphere
Repositorykubesphere
Skill namefrontend-forge-fi-operations
Stars
17.1K
Forks
2.8K
Bundled files
4
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.

  • 4 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 Forge Fi Operations 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-forge-fi-operations .claude/skills/frontend-forge-fi-operations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frontend Forge Fi Operations 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 Forge Fi Operations 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 Forge Fi Operations 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 Forge FI Operations

Operate FrontendIntegration resources and the frontend-forge extension with kubectl.

When to Use

  • Create a FrontendIntegration from complete FrontendIntegration YAML
  • Update, enable, disable, or delete an existing FI
  • Inspect FI status, build jobs, JSBundle, ConfigMap, manifest, or source-spec annotations
  • Troubleshoot FI reconciliation or build output
  • Create, enable, disable, uninstall, or inspect the frontend-forge extension

Do Not Use

  • Generate new FrontendIntegration YAML from natural language
  • Manage extensions other than frontend-forge
  • Assume FI operations are valid before checking extension state
  • Use patch as the creation path for a new FI when the user already has YAML

Preconditions

  • kubectl must be configured for the target cluster.
  • frontend-forge extension installation and enabled state are prerequisites for all FI functionality.
  • frontend-forge-controller exists only after the frontend-forge extension is installed.
  • FrontendIntegration is cluster-scoped. Do not add -n when operating on FI resources.

Read First

Preflight

Always run these checks before any FI create, update, enable, disable, delete, inspect, or troubleshoot flow:

bash
kubectl get extension frontend-forge
kubectl get installplan frontend-forge -o yaml

Only continue to FI operations when:

  • the frontend-forge extension exists
  • the frontend-forge InstallPlan exists
  • spec.enabled=true on the InstallPlan

If the extension is missing or disabled, switch to the extension management workflow first.

FI Operations

Create FI From YAML

Only create FI from complete FrontendIntegration YAML content or a YAML file path.

  1. Run the preflight checks.
  2. If the user provides YAML content, write it to a temporary file.
  3. Apply the YAML with kubectl apply -f.
  4. Inspect the result.

See references/lifecycle.md for the exact create and post-apply inspection commands.

Update Existing FI

  • Prefer editing YAML and re-applying it.
  • Use patch only for targeted lifecycle changes when the user explicitly wants patch semantics.

See references/lifecycle.md for the exact update, enable, disable, and delete commands.

Disable FI

Disable an existing FI by patching spec.enabled=false.

See references/lifecycle.md for the exact disable command and post-check flow.

Enable FI

Enable an existing FI by patching spec.enabled=true.

See references/lifecycle.md for the exact enable command and post-check flow.

Delete FI

Delete the FI resource only after the preflight checks pass.

See references/lifecycle.md for the exact delete command.

Extension Management

Use fixed resource names for frontend-forge:

  • extension: frontend-forge
  • InstallPlan: frontend-forge

Create Extension

Ask the user for the frontend-forge extension version. If it is not provided, resolve the latest version first.

See references/extension-management.md for the exact version lookup command and InstallPlan YAML.

Disable Extension

Patch installplan/frontend-forge so spec.enabled=false.

Enable Extension

Patch installplan/frontend-forge so spec.enabled=true.

Uninstall Extension

Delete installplan/frontend-forge.

Inspect Extension State

Inspect extension/frontend-forge and installplan/frontend-forge.

See references/extension-management.md for the exact create, enable, disable, uninstall, and inspect commands.

Rules

  • Treat extension readiness as the first gate for all FI operations.
  • Create new FI resources only from FrontendIntegration YAML.
  • Prefer kubectl apply -f for FI creation.
  • Keep FI troubleshooting available after the preflight checks pass.
  • Keep command details in references; keep SKILL.md focused on routing and decision logic.
  • Use extension and installplan resources as the source of truth for extension state.
  • Treat frontend-forge-controller existence as a runtime signal, not the primary source of truth.
  • Do not generalize extension commands to any name other than frontend-forge.

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 Forge Fi Operations AI skill do?

Operate FrontendIntegration resources and the frontend-forge extension. Use when Codex needs to create a FrontendIntegration from FrontendIntegration YAML, update or patch FI lifecycle state, inspect or troubleshoot FI build output, or create, enable, disable, uninstall, and inspect the frontend-forge extension through its InstallPlan and extension resources.

Why use Frontend Forge Fi Operations on TypingMind?

Because you install it once and use it with any model. Frontend Forge Fi Operations 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 Forge Fi Operations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kubesphere/kubesphere/tree/master/skills/frontend-forge-fi-operations. 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 Forge Fi Operations?

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 Forge Fi Operations?

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

Is the Frontend Forge Fi Operations 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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