Dma Baremetal

Community

mohitmishra786

dma-baremetal

Bare-metal DMA skill for memory-peripheral transfers. Use when configuring DMA channels, circular mode, double buffering, or DMA IRQ completion. Activates on queries about DMA bare-metal, circular buffer, memory-to-peripheral, or DMA stream configuration.

Overview

Publisher	mohitmishra786
Repository	`low-level-dev-skills`
Skill name	`dma-baremetal`
Stars	266
Forks	31
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 mohitmishra786 on GitHub. Read the source before you install it.

Installation

Install the Dma Baremetal 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/mohitmishra786/low-level-dev-skills/tree/main/skills/baremetal/dma-baremetal
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/baremetal/dma-baremetal

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/mohitmishra786/low-level-dev-skills.git /tmp/low-level-dev-skills
mkdir -p .claude/skills
cp -r /tmp/low-level-dev-skills/skills/baremetal/dma-baremetal .claude/skills/dma-baremetal

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

Use it in TypingMind

Enable Dma Baremetal 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 Dma Baremetal 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 Dma Baremetal 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.

DMA (Bare-Metal)

Purpose

Configure DMA controllers for memory-to-peripheral and peripheral-to-memory transfers: channel/stream setup, burst sizes, circular mode, half-transfer interrupts, and cache coherency on Cortex-M7.

When to Use

Offloading UART/SPI/ADC bulk transfers from CPU
Audio/streaming double buffers
Debugging DMA not triggering or corrupt data

Workflow

1. STM32 DMA2 stream (periph→mem)

c
/* UART2 RX DMA — Stream5, Channel 4 (verify RM matrix) */
RCC->AHB1ENR |= RCC_AHB1ENR_DMA1EN;

DMA1_Stream5->PAR  = (uint32_t)&USART2->DR;
DMA1_Stream5->M0AR = (uint32_t)rx_buf;
DMA1_Stream5->NDTR = sizeof(rx_buf);
DMA1_Stream5->CR   = DMA_SxCR_MINC     /* mem increment */
                   | DMA_SxCR_TCIE    /* transfer complete IRQ */
                   | DMA_SxCR_CHSEL_2 /* channel 4 */
                   | DMA_SxCR_EN;

USART2->CR3 |= USART_CR3_DMAR;

2. Circular / double buffer

c
DMA1_Stream5->CR |= DMA_SxCR_CIRC;  /* auto-reload NDTR */
/* HTIF = first half, TCIF = second half — process in IRQ */

3. Cortex-M7 cache (H7)

DMA buffer in non-cacheable region or clean/invalidate D-Cache:

c
SCB_CleanDCache_by_Addr((void*)tx_buf, len);
/* after DMA TX */
SCB_InvalidateDCache_by_Addr((void*)rx_buf, len);

4. Agent usage


/dma-baremetal Configure UART RX DMA circular buffer on STM32F4

Common Problems

Symptom	Cause	Fix
DMA no start	Stream/channel mismatch	RM DMA request mapping table
Corrupt RX	Cache coherency (M7)	Invalidate after RX complete
NDTR stuck	Peripheral DMA enable missing	USART_CR3 DMAR/DMAT
IRQ flood	Clear flags in ISR	`DMA_LISR`/`HIFCR`

Related Skills

skills/baremetal/uart-serial-baremetal — USART DMA enable
skills/baremetal/adc-dac-baremetal — ADC DMA mode
skills/low-level-programming/cpu-cache-opt — cache line concepts

Frequently asked questions

What does the Dma Baremetal AI skill do?

Why use Dma Baremetal on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/baremetal/dma-baremetal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dma Baremetal?

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 Dma Baremetal?

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

Is the Dma Baremetal AI skill free?

Yes. It is published on GitHub by mohitmishra786 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

DMA (Bare-Metal)

Purpose

When to Use

Workflow

1. STM32 DMA2 stream (periph→mem)

2. Circular / double buffer

3. Cortex-M7 cache (H7)

4. Agent usage

Common Problems

Related Skills

Frequently asked questions

Related AI Skills

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