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Funstack Static Knowledge

Community
uhyo
funstack-static-knowledge

Use this skill when you need information about `@funstack/static` (the React framework your app is built with). What it is even about, API references, best practices, etc.

Overview

Publisheruhyo
Repositoryfunstack-static
Skill namefunstack-static-knowledge
Stars
90
Forks
4
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Funstack Static Knowledge 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/uhyo/funstack-static.git /tmp/funstack-static
mkdir -p .claude/skills
cp -r /tmp/funstack-static/packages/static/skills/funstack-static-knowledge .claude/skills/funstack-static-knowledge
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Funstack Static Knowledge 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 Funstack Static Knowledge 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 Funstack Static Knowledge 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.

FUNSTACK Static Knowledge

FUNSTACK Static (@funstack/static) is a React framework designed to build SPA application that can be deployed as static files to any static hosting service. Its prominent features is support for React Server Components (RSC) which allows optimizing the performance of the application by rendering parts of the UI at build time.

Note that FUNSTACK Static never runs on the server at runtime (except during development). Server Components are rendered at build time into RSC payloads which are then shipped to the client. The client React runtime can then seamlessly render both Client and Server Components into the DOM.

FUNSTACK Static Entrypoint

FUNSTACk Static is served as a Vite plugin. See your app's vite.config.ts file for the current configuration. A typical configuration looks like this:

ts
import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
import funstackStatic from "@funstack/static";

export default defineConfig({
  plugins: [
    react(),
    funstackStatic({
      root: "./src/Root.tsx",
      app: "./src/App.tsx",
    }),
  ],
});

Entrypoint. Here, the root option points to the Root component of your application which is responsible for the HTML shell of your application. The app option points to the main App component which is the entrypoint for your application's UI.

Root layout constraint. Unless the ssr option is enabled, the Root component must render {children} as the only content of its parent element. The App is mounted into that parent element on the client, which removes any other content from it. Wrap {children} in a dedicated element (e.g. <div>{children}</div>) if the Root renders other content next to it.

Server and Client Components. The entrypoint components (Root and App) are server components. FUNSTACK Static follows React's conventions for Server and Client Components; the entrypoint is executed as a Server module. Modules marked with the "use client" directive are executed as Client modules. Server modules can import both Server and Client modules, while Client modules can only import other Client modules.

Server Actions. Note that Server Actions ("use server") are NOT supported in FUNSTACK Static, as there is no server runtime deployed.

FUNSTACK Static Docs

More detailed documentation about FUNSTACK Static (including API references and best practices) can be found inside node_modules at:

node_modules/@funstack/static/dist/docs/index.md

Frequently asked questions

What does the Funstack Static Knowledge AI skill do?

Use this skill when you need information about `@funstack/static` (the React framework your app is built with). What it is even about, API references, best practices, etc.

Why use Funstack Static Knowledge on TypingMind?

Because you install it once and use it with any model. Funstack Static Knowledge 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 Funstack Static Knowledge in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uhyo/funstack-static/tree/master/packages/static/skills/funstack-static-knowledge. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Funstack Static Knowledge?

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 Funstack Static Knowledge?

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

Is the Funstack Static Knowledge AI skill free?

Yes. It is published on GitHub by uhyo 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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