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Oq

Organization
NeverSight
oq

oQ's opinionated tooling and conventions for JavaScript/TypeScript projects. Based on Anthony Fu's style with personal customizations for UnoCSS, ESLint, pnpm catalog, and automated releases. Use when setting up new projects with these preferences.

Overview

PublisherNeverSight
Repositorylearn-skills.dev
Skill nameoq
Stars
210
Forks
38
Bundled files
12
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.

  • 12 bundled files

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

  • Open source

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

Installation

Install the Oq 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/NeverSight/learn-skills.dev.git /tmp/learn-skills.dev
mkdir -p .claude/skills
cp -r /tmp/learn-skills.dev/data/skills-md/0froq/skills/oq .claude/skills/oq
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oq 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 Oq 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 Oq 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.

Coding Practices

Code Organization

  • Single responsibility: Each source file should have a clear, focused scope/purpose
  • Split large files: Break files when they become large or handle too many concerns
  • Type separation: Always separate types and interfaces into types.ts or types/*.ts
  • Constants extraction: Move constants to a dedicated constants.ts file

Runtime Environment

  • Prefer isomorphic code: Write runtime-agnostic code that works in Node, browser, and workers whenever possible
  • Clear runtime indicators: When code is environment-specific, add a comment at the top of the file:
ts
// @env node
// @env browser

TypeScript

  • Explicit return types: Declare return types explicitly when possible
  • Avoid complex inline types: Extract complex types into dedicated type or interface declarations

Comments

  • Avoid unnecessary comments: Code should be self-explanatory
  • Explain "why" not "how": Comments should describe the reasoning or intent, not what the code does

Testing (Vitest)

  • Test files: foo.tsfoo.test.ts (same directory)
  • Use describe/it API (not test)
  • Use toMatchSnapshot for complex outputs
  • Use toMatchFileSnapshot with explicit path for language-specific snapshots

Tooling Choices

@antfu/ni Commands

CommandDescription
niInstall dependencies
ni <pkg> / ni -D <pkg>Add dependency / dev dependency
nr <script>Run script
nuUpgrade dependencies
nun <pkg>Uninstall dependency
nciClean install (pnpm i --frozen-lockfile)
nlx <pkg>Execute package (npx)

TypeScript Config

json
{
  "compilerOptions": {
    "target": "ESNext",
    "module": "ESNext",
    "moduleResolution": "bundler",
    "strict": true,
    "esModuleInterop": true,
    "skipLibCheck": true,
    "resolveJsonModule": true,
    "isolatedModules": true,
    "noEmit": true
  }
}

ESLint Setup

ts
// eslint.config.ts
import antfu from '@antfu/eslint-config'
import nuxt from './.nuxt/eslint.config.mjs'

export default antfu(
  {
    unocss: true,
    pnpm: true,
    typescript: true,
    vue: true,
    rules: {
      'vue/max-attributes-per-line': ['error', {
        singleline: { max: 1 },
        multiline: { max: 1 },
      }],
      'unused-imports/no-unused-imports': 'off',
    },
    formatters: {
      css: true,
      html: true,
      markdown: 'dprint',
    },
  },
)
  .append(nuxt())

For detailed configuration options: oq-eslint-config

Git Hooks

json
{
  "simple-git-hooks": {
    "pre-commit": "pnpm i --frozen-lockfile --ignore-scripts --offline && npx lint-staged"
  },
  "lint-staged": { "*": "eslint --fix" },
  "scripts": {
    "prepare": "npx simple-git-hooks"
  }
}

pnpm Catalogs

Use named catalogs in pnpm-workspace.yaml for version management:

CatalogPurpose
prodProduction dependencies
inlinedBundler-inlined dependencies
devDev tools (linter, bundler, testing)
frontendFrontend libraries

Avoid the default catalog. Catalog names can be adjusted per project needs.

Additional tools:

  • Use pnpm-workspace-utils for catalog management
  • Use nip for interactive package management

References

TopicDescriptionReference
ESLint ConfigCustom @antfu/eslint-config setup with Vue rules and formattersoq-eslint-config
UnoCSS ConfigCustom UnoCSS setup with fonts, icons, and prefixed attributifyoq-unocss-config
Project Setup.gitignore, GitHub Actions, VS Code extensionssetting-up
Release WorkflowAutomated releases with changelogithubrelease-workflow
pnpm CatalogStrict pnpm catalog configuration and toolspnpm-catalog
App DevelopmentVue/Nuxt/UnoCSS conventions and patternsapp-development
Monorepopnpm workspaces, centralized alias, Turborepomonorepo
Library Developmenttsdown bundling, pure ESM publishinglibrary-development

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 Oq AI skill do?

oQ's opinionated tooling and conventions for JavaScript/TypeScript projects. Based on Anthony Fu's style with personal customizations for UnoCSS, ESLint, pnpm catalog, and automated releases. Use when setting up new projects with these preferences.

Why use Oq on TypingMind?

Because you install it once and use it with any model. Oq 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 Oq in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/0froq/skills/oq. 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 Oq?

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 Oq?

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

Is the Oq AI skill free?

It is published on GitHub by NeverSight. 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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