Vibe Cross Platform

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mistralai

vibe-cross-platform

Cross-platform development rules for Mistral Vibe. Use when writing platform-specific logic, handling paths, Windows support, shell compatibility, terminal data streams, or cross-OS testing strategies.

Overview

Publisher	mistralai
Repository	`mistral-vibe`
Skill name	`vibe-cross-platform`
Stars	5.1K
Forks	732
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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 mistralai on GitHub. Read the source before you install it.

Installation

Install the Vibe Cross Platform AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/mistralai/mistral-vibe/tree/main/.agents/skills/vibe-cross-platform
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.

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/mistralai/mistral-vibe.git /tmp/mistral-vibe
mkdir -p .claude/skills
cp -r /tmp/mistral-vibe/.agents/skills/vibe-cross-platform .claude/skills/vibe-cross-platform

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vibe Cross Platform 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 Vibe Cross Platform 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 Vibe Cross Platform 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.

Vibe Cross-Platform

Vibe ships on Linux, macOS, and Windows, but CI runs the test suite on Linux only. The machine you develop on is not the machine that gates the PR — code and tests must pass on every platform, and must be provably correct on the platforms CI cannot exercise.

Code rules

Never rely on host-specific behavior (shell, path separator, line ending, available binaries, $SHELL, case sensitivity). Assume the same code runs under cmd.exe, Git Bash, zsh, and sh.
Branch platform-specific logic behind the helpers in vibe.core.utils.platform (is_windows(), resolve_windows_shell()), not ad-hoc sys.platform checks. Keep POSIX-only assumptions (forward slashes, POSIX shlex escaping, $SHELL) out of shared paths and scope Windows-only handling to is_windows().
Use pathlib.Path for path composition; never hardcode / or \\.

Terminal data

Treat terminal and PTY data as arbitrarily chunked streams: normalize CRLF before interpreting lone \r as an in-place redraw, buffer incomplete control sequences until their terminator arrives, and add Linux-runnable regression tests covering CRLF plus every split boundary of representative control sequences.

Testing

Test other-platform code paths on Linux by monkeypatching sys.platform, env vars, and probes like shutil.which — do not @pytest.mark.skipif them away. A Windows-only behavior with no Linux-runnable test is untested in CI.
When an assertion depends on the platform, force it explicitly (e.g. monkeypatch.setattr(module, "is_windows", lambda: True)) instead of letting the test pass only because of the host it happened to run on. A test that would flip its result on a different OS is a bug.

Frequently asked questions

What does the Vibe Cross Platform AI skill do?

Why use Vibe Cross Platform on TypingMind?

Because you install it once and use it with any model. Vibe Cross Platform 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 Vibe Cross Platform in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mistralai/mistral-vibe/tree/main/.agents/skills/vibe-cross-platform. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vibe Cross Platform?

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 Vibe Cross Platform?

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

Is the Vibe Cross Platform AI skill free?

Yes. It is published on GitHub by mistralai under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Vibe Cross-Platform

Code rules

Terminal data

Testing

Frequently asked questions

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