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Zephyr Index

Community
beriberikix
zephyr-index

Static human-browsable catalog of the Zephyr RTOS skill set. Skill selection is handled by the zephyr-agent-skills entry point and by zephyr-cli skills suggest; this index is a reference listing only, not a task skill.

Overview

Publisherberiberikix
Repositoryzephyr-agent-skills
Skill namezephyr-index
Stars
73
Forks
19
Bundled files
6
LicenseApache-2.0
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.

  • 6 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 Zephyr Index 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/beriberikix/zephyr-agent-skills/tree/main/skills/zephyr-index
  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/beriberikix/zephyr-agent-skills.git /tmp/zephyr-agent-skills
mkdir -p .claude/skills
cp -r /tmp/zephyr-agent-skills/skills/zephyr-index .claude/skills/zephyr-index
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zephyr Index 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 Zephyr Index 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 Zephyr Index 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 Index

The Zephyr Index is your entry point to a suite of specialized Agent Skills designed for professional Zephyr RTOS development.

When to Use

  • You are starting a new Zephyr task and don't know which skill is relevant.
  • You need a high-level overview of the Zephyr skill ecosystem.
  • You want to navigate between foundational, common, and advanced Zephyr features.

Quick Start (Skill Selection)

  1. Open quick_reference.md and match your task category.
  2. If the task spans multiple domains, follow decision_tree.md.
  3. Open the selected skill SKILL.md, then load only the referenced docs needed for the current task.

Navigation Hub

1. Skill Selection

If you have a specific task but aren't sure which skill to load, consult the Decision Tree or the Quick Reference.

2. Full Catalog

Review the Skill Catalog for a complete index of all 21 consolidated skills across four implementation phases.

Core Categories

Foundations & Workflows

Covers the bedrock of Zephyr: West, Devicetree, Build Systems, and Core Kernel Basics.

  • Key Skills: zephyr-foundations, build-system, devicetree, kernel-basics.

Hardware & Peripherals

Interfacing with the physical world: GPIO, I2C, SPI, Sensors, and Power Management.

  • Key Skills: hardware-io, power-performance.

Connectivity

Networking and communication: BLE, IP (MQTT/CoAP/LwM2M), USB, and CAN.

  • Key Skills: connectivity-ble, connectivity-ip, connectivity-usb-can.

Production & Advanced

Taking your product to the finish line: Security, OTA Updates, Testing, and Multicore.

  • Key Skills: security-updates, testing-debugging, multicore.

Automation Tools

Examples & Templates

Validation Checklist

  • At least one representative task in each phase maps cleanly through quick_reference.md.
  • Decision tree path selected for a task resolves to an existing skill file.
  • Skill catalog entries match current directories under skills/*.
  • Navigation links in this index resolve without broken relative paths.

Resources

  • References:
    • skill_catalog.md: Complete list of all skills and their triggers.
    • decision_tree.md: Visual guide for skill selection.
    • quick_reference.md: Task-to-skill mapping for common queries.
  • Scripts:
    • task_skill_match.py: Keyword router for skill discovery.
  • Assets:
    • task_skill_keywords.csv: Starter keyword map for routing.

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 Zephyr Index AI skill do?

Static human-browsable catalog of the Zephyr RTOS skill set. Skill selection is handled by the zephyr-agent-skills entry point and by zephyr-cli skills suggest; this index is a reference listing only, not a task skill.

Why use Zephyr Index on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/beriberikix/zephyr-agent-skills/tree/main/skills/zephyr-index. 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 Zephyr Index?

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 Zephyr Index?

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

Is the Zephyr Index 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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