Build Iar

Community

LeoKemp223

build-iar

当需要通过 IAR Embedded Workbench 命令行编译嵌入式工程，调用自带脚本解析工程文件、执行构建并定位固件产物时使用。

Overview

Publisher	LeoKemp223
Repository	`embed-ai-tool`
Skill name	`build-iar`
Stars	995
Forks	168
Bundled files	3
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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by LeoKemp223 on GitHub. Read the source before you install it.

Installation

Install the Build Iar 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/LeoKemp223/embed-ai-tool/tree/master/skills/build-iar
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/LeoKemp223/embed-ai-tool.git /tmp/embed-ai-tool
mkdir -p .claude/skills
cp -r /tmp/embed-ai-tool/skills/build-iar .claude/skills/build-iar

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

Use it in TypingMind

Enable Build Iar 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 Build Iar 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 Build Iar 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.

构建 IAR Embedded Workbench 工程

适用场景

Project Profile 中标明 build_system: iar 或工作区中存在 .ewp / .eww 文件。
用户希望对 IAR EWARM 工程执行编译、重编译或确认固件产物。
烧录或调试流程需要新的 .out（ELF）、HEX 或 BIN。
需要在编译前确认 IAR 环境是否就绪（iarbuild.exe、工具链）。

必要输入

工作区路径或 .ewp 工程文件路径，或一份已有的 Project Profile。
可选的配置名称（configuration）和 IAR 安装路径。

自动探测

脚本启动即自动复用工程根目录 .em_skill.json 中上次成功的 profile 作为默认参数（显式参数优先，无需先手动传 --resume）；--resume 仅用于断言缓存必须存在，无缓存则非零退出。无缓存或用户明确要求重新探测时，脚本自动回退到正常扫描。
脚本自动搜索常见 IAR 安装路径和环境变量（IAR_ROOT、EWARM_ROOT）定位 iarbuild.exe。
解析 .ewp 工程文件中的 configuration 列表，提取工具链（ARM/RISCV）、芯片型号、输出目录和输出文件名。
若未指定配置，默认使用工程中的第一个 configuration。
在输出目录中搜索 .out（ELF）、HEX、BIN 产物，按 ELF > HEX > BIN 排序。
若存在多个同样合理的工程文件或配置，列出候选而不是静默猜测。

执行步骤

先阅读 references/usage.md，确认本次是环境探测、工程扫描、列出配置，还是执行编译。
若不确定环境是否就绪，先运行自带脚本 scripts/iar_builder.py 的 --detect 模式确认。
若不确定工程文件位置，使用 --scan 搜索工作区。
使用 --list-configs --project X.ewp 确认可用配置，再用 --project + --config 执行编译。
读取脚本输出的构建结果和产物扫描报告，重点关注首选产物（.out/ELF > HEX > BIN）、错误/警告统计和失败分类。
将构建配置、产物路径、芯片型号和工具链信息写回 Project Profile，并在需要时交给下游 skill。

失败分流

当 IAR 未安装或 iarbuild.exe 不可用时，返回 environment-missing。
当工程文件损坏、配置名无效或编译因配置问题失败时，返回 project-config-error。
当编译看似成功但未找到可烧录或可调试产物时，返回 artifact-missing。
当存在多个同样合理的工程文件或配置，且任意选择都不安全时，返回 ambiguous-context。

平台说明

IAR Embedded Workbench 仅在 Windows 上原生运行，iarbuild.exe 命令行编译需要 Windows 环境。
自带脚本在非 Windows 平台上仍可执行工程解析（--list-configs）、工程扫描（--scan）和产物扫描（--scan-artifacts），但实际编译会被阻塞。
输出中的产物路径应保持为绝对路径，方便下游烧录和调试 skill 直接复用。

输出约定

输出编译命令、工程文件、配置名、芯片型号、工具链和首选产物路径。
输出错误和警告统计，以及关键编译日志证据。
用 artifact_path、artifact_kind、target_mcu 和 toolchain 更新 Project Profile。
成功后推荐 flash-openocd 或 debug-gdb-openocd。

交接关系

当下一步意图是给硬件烧录程序时，将成功构建结果交给 flash-openocd。
当下一步需要符号信息或调试会话时，将成功构建结果交给 debug-gdb-openocd。

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 Build Iar AI skill do?

当需要通过 IAR Embedded Workbench 命令行编译嵌入式工程，调用自带脚本解析工程文件、执行构建并定位固件产物时使用。

Why use Build Iar on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/build-iar. 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 Build Iar?

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 Build Iar?

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

Is the Build Iar AI skill free?

It is published on GitHub by LeoKemp223. Check the repository for licensing terms. 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

构建 IAR Embedded Workbench 工程

适用场景

必要输入

自动探测

执行步骤

失败分流

平台说明

输出约定

交接关系

Bundled files

Frequently asked questions

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