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Clean Names

Community
ertugrul-dmr
clean-names

Use when naming, renaming, or fixing names of variables, functions, classes, interfaces, or modules in TypeScript. Enforces Clean Code principles—descriptive names, appropriate length, no encodings.

Overview

Publisherertugrul-dmr
Repositoryclean-code-skills
Skill nameclean-names
Stars
203
Forks
35
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 ertugrul-dmr on GitHub. Read the source before you install it.

Installation

Install the Clean Names 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/ertugrul-dmr/clean-code-skills/tree/main/skills/typescript/clean-names
  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/ertugrul-dmr/clean-code-skills.git /tmp/clean-code-skills
mkdir -p .claude/skills
cp -r /tmp/clean-code-skills/skills/typescript/clean-names .claude/skills/clean-names
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clean Names 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 Clean Names 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 Clean Names 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.

Clean Names

N1: Choose Descriptive Names

Names should reveal intent. If a name requires a comment, it doesn't reveal its intent.

ts
// Bad - what is d?
const d = 86400;

// Good - obvious meaning
const SECONDS_PER_DAY = 86400;

// Bad - what does this function do?
function proc(values: number[]) {
  return values.filter((value) => value > 0);
}

// Good - intent is clear
function filterPositiveNumbers(numbers: number[]) {
  return numbers.filter((number) => number > 0);
}

N2: Choose Names at the Appropriate Level of Abstraction

Don't pick names that communicate implementation; choose names that reflect the level of abstraction of the class or function.

ts
// Bad - too implementation-specific
function getMapOfUserIdsToNames() {
  // ...
}

// Good - abstracts the data structure
function getUserDirectory() {
  // ...
}

N3: Use Standard Nomenclature Where Possible

Use terms from the domain, design patterns, or well-known conventions.

ts
// Good - uses pattern name
class UserFactory {
  create(data: unknown) {
    // ...
  }
}

// Good - uses domain term
function calculateAmortization(principal: number, rate: number, term: number) {
  // ...
}

N4: Unambiguous Names

Choose names that make the workings of a function or variable unambiguous.

ts
// Bad - ambiguous
function rename(source: string, target: string) {
  // ...
}

// Good - clear what's being renamed
function renameFile(oldPath: string, newPath: string) {
  // ...
}

N5: Use Longer Names for Longer Scopes

Short names are fine for tiny scopes. Longer scopes need longer, more descriptive names.

ts
// Good - short name for tiny scope
const total = numbers.reduce((sum, n) => sum + n, 0);

// Good - longer name for module-level constant
const MAX_RETRY_ATTEMPTS_BEFORE_FAILURE = 5;

// Bad - short name at module level
const MAX = 5;

N6: Avoid Encodings

Don't encode type or scope information into names. Modern editors make this unnecessary.

ts
// Bad - Hungarian notation
const strName = "Alice";
const arrUsers: string[] = [];
const nCount = 0;

// Good - clean names
const name = "Alice";
const users: string[] = [];
const count = 0;

// Bad - interface prefix
interface IUserRepository {
  findById(id: string): Promise<unknown>;
}

// Good - just name it
interface UserRepository {
  findById(id: string): Promise<unknown>;
}

N7: Names Should Describe Side Effects

If a function does something beyond what its name suggests, the name is misleading.

ts
const configStore = new Map<string, string>();

// Bad - name doesn't mention file creation
function getConfig(configPath: string) {
  if (!configStore.has(configPath)) {
    configStore.set(configPath, "{}"); // Hidden side effect!
  }
  return JSON.parse(configStore.get(configPath) ?? "{}");
}

// Good - name reveals behavior
function getOrCreateConfig(configPath: string) {
  if (!configStore.has(configPath)) {
    configStore.set(configPath, "{}");
  }
  return JSON.parse(configStore.get(configPath) ?? "{}");
}

Quick Reference

RulePrincipleExample
N1Descriptive namesSECONDS_PER_DAY not d
N2Right abstraction levelgetUserDirectory() not getMapOf...
N3Standard nomenclatureUserFactory, calculateAmortization
N4UnambiguousrenameFile(oldPath, newPath)
N5Length matches scopeShort for loops, long for globals
N6No encodingsusers not arrUsers
N7Describe side effectsgetOrCreateConfig()

Frequently asked questions

What does the Clean Names AI skill do?

Use when naming, renaming, or fixing names of variables, functions, classes, interfaces, or modules in TypeScript. Enforces Clean Code principles—descriptive names, appropriate length, no encodings.

Why use Clean Names on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ertugrul-dmr/clean-code-skills/tree/main/skills/typescript/clean-names. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Clean Names?

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 Clean Names?

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

Is the Clean Names AI skill free?

Yes. It is published on GitHub by ertugrul-dmr 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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