run 精选
Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).
安装方式
cp -r Anthropic/claude-code/skills/run ~/.claude/skills/run把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/asgeirtj/system_prompts_leaks/a09e0e708710093ed9fc15fb24bfc1374f584da4/Anthropic/claude-code/skills/run/SKILL.md下载后另存为 ~/.claude/skills/run/SKILL.md。链接锁定采集时的 commit,内容与本站展示一致。
整仓一次性获取:git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git
依赖与权限
- 无需 API Key
- 无需联网
- 依赖外部命令:
gitcurlplaywright - 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
SKILL.md 正文
Running means launching the actual app and interacting with it -
not the test suite, not an import of an internal function and a
console.log. The app as a user (human or programmatic) would meet
it: the CLI at its command, the server at its socket, the GUI at its
window.
First: does a project skill already cover this?
A project skill that launches this app is the repo's verified path -
its author already cold-started from a Linux container and committed
what worked: the exact apt-get line, the env vars, the patches, the
driver. Use it instead of rediscovering.
d=$PWD; while :; do
grep -Hm1 '^description:' "$d"/.claude/skills/*/SKILL.md 2>/dev/null
[ -e "$d/.git" ] || [ "$d" = / ] && break
d=$(dirname "$d")
done
- One describes launching/driving this app -> read that SKILL.md
and follow it verbatim. Don't paraphrase; don't skip the patches.
- Mega-repo, several plausible, no clear match -> ask the user
which unit to run.
- Stale (fails on mechanics unrelated to your task) -> tell the
user; offer to refresh it via /run-skill-generator.
- Nothing about running -> fall back to the patterns below.
Otherwise: match the shape, use the pattern
Pick the row closest to your project. Each example walks through
launch + first interaction; ignore any trailing "write the skill"
section - you're using the recipe, not authoring one.
| Project type | Handle | Example |
|---|---|---|
| CLI tool | direct invocation, exit code, stdin/stdout | [examples/cli.md](examples/cli.md) |
| Web server / API | background launch + curl smoke | [examples/server.md](examples/server.md) |
| TUI / interactive terminal | tmux send-keys / capture-pane | [examples/tui.md](examples/tui.md) |
| Electron / desktop GUI | Playwright _electron REPL under xvfb | [examples/electron.md](examples/electron.md) |
| Browser-driven | dev server + chromium-cli script | [examples/playwright.md](examples/playwright.md) |
| Library / SDK | import-and-call smoke script at the package boundary | [examples/library.md](examples/library.md) |
If nothing fits, start from the closest match and adapt. For a web
app, [examples/playwright.md](examples/playwright.md) - drive it with
chromium-cli, no custom driver needed. For a desktop app,
[examples/electron.md](examples/electron.md) - it has the _electron
REPL driver skeleton and the tmux wrapping.
Drive it, don't just launch it
Launching with no interaction proves the entrypoint resolves. That's
not running the app - it's typechecking with extra steps. Drive it to
a point where a user would see something:
- CLI -> type a representative command, check the exit code and output.
- Server -> hit the route the diff touches with
curl, read the body. - TUI ->
send-keysa navigation,capture-panethe result. - GUI -> click the button, screenshot the window. **Look at the
screenshot.** A blank frame is a failure to launch.
If the fallback pattern didn't work out of the box - you had to
install packages, set env vars, patch config, or write a driver -
recommend /run-skill-generator in your report so that work gets
captured as a project skill. If it just worked, don't.
质量与来源
- 所属仓库
- asgeirtj/system_prompts_leaks
- 仓库星标
- 6.9 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- a09e0e708710
- 内容指纹
- sha256:bf8228e1e384ae8
- 文件路径
- Anthropic/claude-code/skills/run/SKILL.md