Code Style logo

Code Style

Community
tobihagemann
code-style

Enforce existence, reuse, mirror, and symmetry principles to keep new code minimal and consistent with surrounding code. Use when writing new code in an existing codebase, adding new features, refactoring, or making any code changes.

Overview

Publishertobihagemann
Repositoryturbo
Skill namecode-style
Stars
417
Forks
32
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 tobihagemann on GitHub. Read the source before you install it.

Installation

Install the Code Style 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/tobihagemann/turbo/tree/main/claude/skills/code-style
  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/tobihagemann/turbo.git /tmp/turbo
mkdir -p .claude/skills
cp -r /tmp/turbo/claude/skills/code-style .claude/skills/code-style
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Style 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 Code Style 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 Code Style 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.

Code Style: Exist, Reuse, Mirror, Symmetry

When writing new code in an existing codebase, work through these in order. When two pull in different directions, the earlier one wins.

  1. Establish that the code needs to exist: Drop work the request does not need — an abstraction with one implementation, a configuration point with one caller, a branch for a state the callers cannot reach, scaffolding for an anticipated requirement. Deleting or narrowing beats adding. Before removing code that already exists, trace its callers and confirm nothing depends on the behavior. A new test must earn its place too: before adding one, name the behavior it protects and the credible regression that makes it fail, and confirm no existing test already fails on that regression. When a mutation run checks the new test, read every test that fails under it, not only the new one: if existing tests also fail, keep the new test only for a regression they miss. When an existing test covers the same contract, extend its cases instead. Drive the test through a boundary production code already uses rather than adding an export, flag, or hook that only the test calls. A test pins the behavior it is named for: when one you add or change also covers another behavior only through how it is set up, give that behavior its own test unless another test already fails when it breaks, and set the first test up the way its siblings are. Input validation at trust boundaries, error handling that prevents data loss, security controls, accessibility affordances, and anything explicitly requested outrank this rule.
  2. Reuse existing code: Before writing a new helper, check if an existing method can be reused or generalized. If a new helper is needed, model it after its closest sibling.
  3. Reuse existing patterns: Find the closest analogous feature and replicate its structure (method decomposition, control flow, annotations, guard clauses). When an existing pattern fits, use it rather than introducing a new one. When following it would force materially more code or indirection than a different approach, take the different approach and apply it across the whole change.
  4. Mirror the surrounding code exactly: Match brace style, comment style, naming conventions, blank line spacing, code density, and level of detail by reading nearby code first.
  5. Maintain symmetry: If adding fooB() parallel to fooA(), match naming, parameter order, and structure. Symmetry covers every name the new sibling makes asymmetric: identifiers, route paths, config keys, event names, environment variables, CLI flags, and file naming schemes. Rename the existing name by default; keep it as it stands only when it is a published contract whose consumers you cannot update, or cannot update in step with the rename. Treat deployment and registration as costs the change absorbs: updating every place the name is referenced or registered is part of the change.
  6. Logical ordering: Place new methods, switch cases, and fields in the order that mirrors the existing grouping or business lifecycle, rather than appending at the end.
  7. Default to no comment: Write code that self-explains through naming, extraction, and structure. When you reach for a comment, first try refactoring so it becomes unnecessary. Add one only for a load-bearing constraint the code cannot express (a hidden invariant, a workaround, a non-obvious performance characteristic). When in doubt, omit it.

Frequently asked questions

What does the Code Style AI skill do?

Enforce existence, reuse, mirror, and symmetry principles to keep new code minimal and consistent with surrounding code. Use when writing new code in an existing codebase, adding new features, refactoring, or making any code changes.

Why use Code Style on TypingMind?

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

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

Which AI models can use Code Style?

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 Code Style?

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

Is the Code Style AI skill free?

Yes. It is published on GitHub by tobihagemann 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇