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Peripherals From Datasheet

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mohitmishra786
peripherals-from-datasheet

Peripheral driver methodology skill from MCU reference manuals. Use when reading register maps, timing diagrams, and writing drivers from vendor documentation. Activates on queries about reference manual, register map, peripheral init sequence, or datasheet-driven driver design.

Overview

Publishermohitmishra786
Repositorylow-level-dev-skills
Skill nameperipherals-from-datasheet
Stars
266
Forks
31
Bundled files
Instructions only
LicenseMIT
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.

  • 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 Peripherals From Datasheet 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/mohitmishra786/low-level-dev-skills/tree/main/skills/baremetal/peripherals-from-datasheet
  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/mohitmishra786/low-level-dev-skills.git /tmp/low-level-dev-skills
mkdir -p .claude/skills
cp -r /tmp/low-level-dev-skills/skills/baremetal/peripherals-from-datasheet .claude/skills/peripherals-from-datasheet
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Peripherals From Datasheet 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 Peripherals From Datasheet 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 Peripherals From Datasheet 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.

Peripherals from Datasheet

Purpose

Guide agents through a repeatable methodology for writing peripheral drivers from MCU reference manuals: locating register maps, interpreting bit definitions, following init sequences, respecting timing constraints, and producing maintainable register-level code. Pair with skills/baremetal/datasheet-and-refmanual-reading for doc-navigation methodology (kept as separate skills).

When to Use

  • Starting a driver without vendor HAL
  • Porting a peripheral between MCU families
  • Verifying HAL behavior against the reference manual
  • Debugging a peripheral that "should work" per examples

Workflow

1. Reference manual navigation

Typical RM structure
├── Memory map (peripheral base addresses)
├── Peripheral chapter (UART, SPI, GPIO, ...)
│   ├── Functional description
│   ├── Register map (table of offsets)
│   ├── Register bit definitions
│   └── Timing / electrical notes
└── Electrical characteristics (clock limits, setup/hold)

Start with the programming model section before copying register writes.

2. Extract register map

c
/* From RM — USART base 0x40004400 */
typedef struct {
    volatile uint32_t SR;   /* 0x00 status */
    volatile uint32_t DR;   /* 0x04 data */
    volatile uint32_t BRR;  /* 0x08 baud */
    volatile uint32_t CR1;  /* 0x0C control */
    /* ... */
} USART_TypeDef;

#define USART2 ((USART_TypeDef *)0x40004400UL)

Verify offset column matches struct layout (padding for reserved words).

3. Init sequence checklist

Peripheral bring-up order
├── 1. Enable bus clock (RCC/APB/AHB register)
├── 2. Reset peripheral (if RM requires)
├── 3. Configure pins (GPIO alternate function)
├── 4. Configure peripheral registers (mode, baud, etc.)
├── 5. Enable peripheral (UE, TE, RE bits)
├── 6. Enable NVIC IRQ (if interrupt-driven)
└── 7. Verify status flags before first transaction

Bad — enable UART before clock:

c
USART2->CR1 |= USART_CR1_UE;  /* USART clock still off — no effect */

4. Bit definition discipline

c
/* From RM: CR1 M[1:0], PCE, PS, TE, RE, UE */
#define USART_CR1_UE   (1U << 13)
#define USART_CR1_TE   (1U << 3)
#define USART_CR1_RE   (1U << 2)

Document RM section number in comment for audit trail.

5. Timing and busy-wait

c
/* RM: poll BUSY flag until reset complete */
while (RCC->CR & RCC_CR_PLLRDY == 0)
    ;

Respect startup times (oscillator settle, PLL lock) from electrical characteristics chapter.

6. Good vs bad driver structure

Good — layered, RM-referenced:

c
void usart2_init(uint32_t baud) {
    rcc_enable_usart2();
    gpio_config_usart2_pins();
    usart2_set_baud(baud);
    USART2->CR1 = USART_CR1_TE | USART_CR1_RE | USART_CR1_UE;
}

Bad — magic numbers, no clock enable:

c
*(uint32_t*)0x4000440C = 0x2000;  /* what peripheral? which bit? */

7. Agent usage examples

/peripherals-from-datasheet Walk me through USART init from STM32 RM
/peripherals-from-datasheet What sections of the ref manual matter for SPI timing?

Common Problems

SymptomCauseFix
Peripheral deadClock not enabledRCC/APB enable bit first
Wrong baud ratePCLK assumption wrongRecompute using actual clock tree
GPIO AF wrongMUX value from wrong tableCross-check pinout + AF table
IRQ stuckStatus flag clear sequence wrongRM "clearing flags" subsection
Silent data corruptionEndian or width mismatchMatch register access size

Related Skills

  • skills/baremetal/datasheet-and-refmanual-reading — fast RM navigation
  • skills/baremetal/mmio-and-bit-manipulation — register access patterns
  • skills/baremetal/gpio-baremetal — pin mux before peripheral enable
  • skills/embedded/linker-scripts — memory map alignment

Frequently asked questions

What does the Peripherals From Datasheet AI skill do?

Peripheral driver methodology skill from MCU reference manuals. Use when reading register maps, timing diagrams, and writing drivers from vendor documentation. Activates on queries about reference manual, register map, peripheral init sequence, or datasheet-driven driver design.

Why use Peripherals From Datasheet on TypingMind?

Because you install it once and use it with any model. Peripherals From Datasheet 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 Peripherals From Datasheet in TypingMind?

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

Which AI models can use Peripherals From Datasheet?

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 Peripherals From Datasheet?

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

Is the Peripherals From Datasheet 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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