Native Sim

Community

beriberikix

native-sim

Host-based simulation using the Zephyr native_sim board. Covers building for Linux/macOS/Windows, automated testing, host-side debugging (GDB, Valgrind), and host-target integration. Trigger when developing application logic without hardware or setting up CI/CD tests.

Overview

Publisher	beriberikix
Repository	`zephyr-agent-skills`
Skill name	`native-sim`
Stars	73
Forks	19
Bundled files	5
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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by beriberikix on GitHub. Read the source before you install it.

Installation

Install the Native Sim 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/beriberikix/zephyr-agent-skills/tree/main/skills/native-sim
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/beriberikix/zephyr-agent-skills.git /tmp/zephyr-agent-skills
mkdir -p .claude/skills
cp -r /tmp/zephyr-agent-skills/skills/native-sim .claude/skills/native-sim

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

Use it in TypingMind

Enable Native Sim 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 Native Sim 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 Native Sim 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.

Zephyr Native Simulation

Develop, test, and debug Zephyr applications with the speed and convenience of your host machine.

Core Workflows

1. Simulation Basics

Understand when to use native_sim vs. QEMU and how to map host resources.

Reference: simulation_basics.md
Key Tools: west build -b native_sim.

2. Host-Side Debugging

Use professional host tools to find the most elusive bugs.

Reference: debugging.md
Key Tools: gdb, valgrind, gprof, pcap.

3. Automated Testing (CI/CD)

The foundation of modern firmware development.

Reference: See the testing-debugging skill (Phase 3) for comprehensive testing workflows.
Key Tools: twister -p native_sim.

Quick Start

bash
# Build for host
west build -b native_sim samples/hello_world

# Run the app
./build/zephyr/zephyr.exe

# Debug with GDB
west debug

Automation Tools

native_log_scan.py: Scan native simulation logs for common crash/failure signatures.

Examples & Templates

native_sim_ci_checklist.md: Starter checklist for CI simulation coverage.

Validation Checklist

west build -b native_sim succeeds for at least one sample and one app target.
Built binary runs on host and emits expected startup logs.
Host debugger (GDB/Valgrind) can attach and surface expected symbols.
Simulation test path is integrated into CI (for example Twister native_sim run).

Resources

References:
- simulation_basics.md: Architectural overview and usage patterns.
- debugging.md: GDB, Valgrind, and profiling guide.
Scripts:
- native_log_scan.py: Failure signature scanner for native_sim logs.
Assets:
- native_sim_ci_checklist.md: CI simulation review checklist.

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 Native Sim AI skill do?

Why use Native Sim on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/beriberikix/zephyr-agent-skills/tree/main/skills/native-sim. 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 Native Sim?

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 Native Sim?

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

Is the Native Sim AI skill free?

Yes. It is published on GitHub by beriberikix 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

Zephyr Native Simulation

Core Workflows

1. Simulation Basics

2. Host-Side Debugging

3. Automated Testing (CI/CD)

Quick Start

Automation Tools

Examples & Templates

Validation Checklist

Resources

Bundled files

Frequently asked questions

Related AI Skills

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