Keil

What it does

Example prompts

• “烧录到板子上”
• “/keil”

Requirements

• Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1CLI 显式参数
2. 2环境级配置（skill/config.json）
3. 3工程级配置（.embeddedskills/config.json）
4. 4.embeddedskills/state.json（上次构建记录）
5. 5搜索/询问

What it can do on your machine

Read from SKILL.md and the folder at commit 536c1f9. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 3 files in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Keil loads about 883 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 176 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~69

When it runs · the whole SKILL.md, loaded when a task matches

~883

With references · SKILL.md plus every file in references/, read only if the agent opens them

~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from zhinkgit/embeddedskills at commit 536c1f9, republished under its MIT licence (© zhinkgit). 176 words, ~883 tokens.

name

keil

description

Keil MDK 工程构建工具，用于扫描 .uvprojx/.uvproj/.uvmpw 工程、枚举 Target、执行 build/rebuild/clean 并解析构建日志，返回可供 jlink/openocd 复用的产物路径。 flash 子命令仅作为兼容入口保留。当用户提到 Keil、MDK、uVision、UV4、 Target 枚举、编译、重建、清理、烧录、下载固件、flash 时自动触发，也兼容 /keil 显式调用。 即使用户只是说"编译一下"或"烧录到板子上"，只要上下文涉及嵌入式 Keil 工程就应触发此 skill。

argument-hint

[scan|targets|build|rebuild|clean|flash] ...

{
  "uv4_exe": "C:\\Keil_v5\\UV4\\UV4.exe",
  "operation_mode": 1
}

{
  "keil": {
    "project": "",
    "target": "",
    "log_dir": ".embeddedskills/build"
  }
}

# 扫描工程
python <skill-dir>/scripts/keil_project.py scan --root <搜索目录> --json

# 枚举 Target
python <skill-dir>/scripts/keil_project.py targets --project <工程路径> --json

python <skill-dir>/scripts/keil_build.py <build|rebuild|clean|flash> \
  --uv4 <UV4路径> \
  --project <工程路径> \
  --target <TargetName> \
  --log-dir <日志目录> \
  --json

{
  "status": "ok",
  "action": "build",
  "summary": "build 成功，errors=0 warnings=2",
  "details": {
    "project": "project.uvprojx",
    "target": "Debug",
    "log_file": ".build/project-Debug-build.log",
    "flash_file": "Objects/project.hex",
    "debug_file": "Objects/project.axf"
  },
  "metrics": { "errors": 0, "warnings": 2, "flash_bytes": 32768, "ram_bytes": 8192 }
}

{
  "status": "error",
  "action": "flash",
  "error": { "code": "build_not_clean", "message": "最近一次构建存在错误，禁止继续烧录" }
}

© zhinkgit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references) in keil of zhinkgit/embeddedskills.

• SKILL.md
• README.md
• config.example.json
• references/compiler-notes.md
• scripts/keil_build.py
• scripts/keil_project.py
• scripts/keil_runtime.py

Open the folder on GitHubat commit 536c1f9