TypingMindTypingMindThe best frontend for AI
Storage logo

Storage

Community
beriberikix
storage

Storage management for Zephyr RTOS. Covers Non-Volatile Storage (NVS) for persistent settings, flash partition management in Devicetree, and runtime flash layout access. Trigger when implementing persistent data storage, managing flash wear leveling, or configuring device partitions.

Overview

Publisherberiberikix
Repositoryzephyr-agent-skills
Skill namestorage
Stars
73
Forks
19
Bundled files
5
LicenseApache-2.0
Links
Skill sourceRepository
  • 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 Storage 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/storage
  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/storage .claude/skills/storage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Storage 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 Storage 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 Storage 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 Storage

Implement reliable persistent data handling using Zephyr's storage subsystem and flash management utilities.

Core Workflows

1. NVS Storage

Utilize Non-Volatile Storage (NVS) for efficient, wear-leveled data persistence.

  • Reference: nvs_storage.md
  • Key Tools: nvs_mount(), nvs_read(), nvs_write().

2. Flash Management

Configure and manage flash partitions and hardware page layouts.

  • Reference: flash_management.md
  • Key Tools: fixed-partitions, FLASH_MAP, flash_get_page_info_by_offs().

Quick Start (NVS Write)

c
#include <zephyr/storage/nvs/nvs.h>

void save_data(struct nvs_fs *fs, uint16_t id, void *data, size_t len) {
    nvs_write(fs, id, data, len);
}

Professional Patterns (Reliability)

  • Settings Integration: Use NVS as the backend for the settings subsystem for a standard key-value configuration experience.
  • Collision Prevention: Define NVS Entry IDs in a centralized header file to prevent accidental overwrites across modules.
  • Runtime Layout Checks: Always query the flash controller for page sizes (flash_get_page_layout) rather than assuming hardcoded sector sizes.

Automation Tools

  • nvs_id_lint.py: Detect duplicate NVS_ID_* macro values across source/header files.

Examples & Templates

Validation Checklist

  • nvs_mount() succeeds on boot for the configured storage partition.
  • Written values survive reset and read back with matching length and content.
  • Partition layout in DTS matches runtime flash-map queries.
  • Repeated write cycles do not produce mount/read corruption errors.

Resources

  • References:
    • nvs_storage.md: Using NVS for data blobs and integers.
    • flash_management.md: Devicetree partitions and page information.
  • Scripts:
    • nvs_id_lint.py: Duplicate ID detector for NVS namespaces.
  • Assets:
    • partition_overlay_template.overlay: Flash partitioning template.

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 Storage AI skill do?

Storage management for Zephyr RTOS. Covers Non-Volatile Storage (NVS) for persistent settings, flash partition management in Devicetree, and runtime flash layout access. Trigger when implementing persistent data storage, managing flash wear leveling, or configuring device partitions.

Why use Storage on TypingMind?

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

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

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 Storage?

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

Is the Storage 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.

Related AI Skills

View all
openclaw logo

Apple Reminders

openclaw
OrganizationPopular

List, add, edit, complete, or delete Apple Reminders and reminder lists via remindctl.

82.2K
391K
Instructions
View
openclaw logo

Clawhub

openclaw
OrganizationPopular

Search ClawHub for skills when a requested capability is not already available; install, verify, update, uninstall, publish, or sync skills.

82.2K
391K
Instructions
View
obra logo

Diagnosing Superpowers

obra
CommunityPopular

Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, "it took too long", "why is it so…

26.3K
293.5K
19 files
View
obra logo

Brainstorming

obra
CommunityPopular

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

25.8K
288.1K
7 files
View

Set up your own AI workspace now

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