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Agent Skill · 运维和基础设施

ln-783-container-launcher(ln 783 集装箱发射装置)

ln-783-container-launcher 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ln-783-container-launcher 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描有提醒项,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 338。

总安装 6,327周安装 269GitHub Stars 437下载 2,217核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ln-783-container-launcher(ln 783 集装箱发射装置)
来源仓库:https://github.com/levnikolaevich/claude-code-skills
仓库路径:skills/ln-783-container-launcher
安装命令:
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-783-container-launcher
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-783-container-launcher

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态。

ln-783-container-launcher 属于运维和基础设施类 Skill,可作为该场景下的辅助能力补充。注意是否会触发联网、命令执行或文件读写操作。

来源仓库内路径:skills/ln-783-container-launcher

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-7…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ln-783-container-launcher 怎么安装?

在终端执行 npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-783-contain…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ln-783-container-launcher 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ln-783-container-launcher 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

ln-783-container-launcher 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ln-783-container-launcher 用的人多吗?

公开数据是累计安装 6,327 次,近一周安装 269 次,下载 2,217 次,GitHub 437 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ln-783-container-launcher 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
ln-783-container-launcher

ln 783 集装箱发射装置 · 本页

6,327437需要联网MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If shared/ is missing, fetch files via WebFetch from https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}.

ln-783-container-launcher

Type: L3 Worker Category: 7XX Project Bootstrap


Purpose

Builds Docker images, launches containers, and performs comprehensive health verification using Docker native health checks and retry strategies.

Scope:

  • Detect and validate docker-compose.yml configuration
  • Build Docker images
  • Launch containers with proper startup order
  • Verify container health using native health checks
  • Provide access URLs and cleanup instructions

Out of Scope:

  • Building application code (handled by ln-781)
  • Running tests (handled by ln-782)
  • Container orchestration beyond single host (Kubernetes, Swarm)

When to Use

ScenarioUse This Skill
Standalone-capableYes
Standalone container launchYes
Development environment setupYes
Production deploymentNo, use proper CI/CD

Workflow

Step 1: Pre-flight Checks

Verify Docker environment readiness.

CheckFailure Action
Docker daemon runningReport error with installation instructions
Docker Compose availableReport error, suggest installation
Compose file existsReport error, list expected locations
Required ports freeReport conflict, suggest alternatives
Sufficient disk spaceWarn if low space (<2GB free)

Step 2: Parse Compose Configuration

Extract service information from docker-compose.yml.

InformationPurpose
Service namesTrack which containers to monitor
Exposed portsKnow which ports to check
Health check definitionsUse native health checks if defined
Dependencies (depends_on)Understand startup order
Volume mountsVerify paths exist

Step 3: Build Images

Build all images defined in compose file.

AspectStrategy
Build contextUse paths from compose file
Build argsPass through from compose configuration
CacheUse Docker layer cache for speed
FailureReport build errors with full log

Step 4: Launch Containers

Start containers with proper orchestration.

AspectStrategy
Startup orderRespect depends_on and healthcheck conditions
Detached modeRun in background
NetworkUse compose-defined networks
VolumesMount all defined volumes

Step 5: Health Verification

Verify all containers are healthy using appropriate strategy.

Strategy Selection:

ConditionStrategy
Service has healthcheck: in composeUse native Docker health status
Service has depends_on: condition: service_healthyWait for Docker health status
No healthcheck definedUse external HTTP probe with retry

Retry Configuration:

ParameterValueRationale
Max attempts10Allow slow-starting services
Initial delay5sGive containers time to start
BackoffExponential (5, 10, 20, 40s)Avoid overwhelming services
Max total wait120sReasonable upper limit

Health Check Methods:

MethodWhen to Use
Docker health statusWhen container has healthcheck defined
HTTP GET to exposed portFor web services without healthcheck
Container execFor services without exposed ports
TCP port checkFor databases and message queues

Step 6: Report Results

Return structured results to orchestrator.

Result Structure:

FieldDescription
containersArray of container status objects
healthChecksArray of health check results
accessUrlsMap of service name to access URL
overallStatushealthy / unhealthy / partial
startupDurationTime from launch to all healthy

Container Status Object:

FieldDescription
nameContainer name
serviceService name from compose
statusrunning / exited / restarting
healthhealthy / unhealthy / starting / none
portExposed port (if any)
startedAtContainer start timestamp

Health Check Result:

FieldDescription
urlChecked URL or endpoint
statusHTTP status code or check result
responseTimeTime to respond in ms
healthyBoolean health status

Error Handling

Error TypeAction
Docker daemon not runningReport with start instructions
Port already in useReport conflict, suggest docker compose down first
Image build failedReport with build logs
Container exitedReport with container logs
Health check timeoutReport with last known status and logs
Network unreachableCheck Docker network configuration

Options

OptionDefaultDescription
keepRunningtrueLeave containers running after verification
stopAfterfalseStop containers after successful verification
healthTimeout120Max seconds to wait for healthy status
showLogstrueShow container logs on failure
buildFirsttrueBuild images before starting
pullLatestfalsePull base images before build

Cleanup Instructions

Provide user with cleanup commands in report.

ActionDescription
Stop containersStop running containers, preserve data
Remove containers and networksClean up containers but keep volumes
Remove everythingFull cleanup including volumes and images

Critical Rules

  1. Use native health checks when available - more reliable than external probes
  2. Implement retry with backoff - services need time to initialize
  3. Always collect logs on failure - essential for debugging
  4. Parse compose file for ports - do not hardcode port numbers
  5. Respect depends_on order - critical for database-dependent services

Monitor Integration (Claude Code 2.1.98+)

MANDATORY READ: Load shared/references/monitor_integration_pattern.md

For container health verification, use Monitor to stream container logs:

PatternCommandtimeout_ms
Readiness signal`docker compose logs -f 2>&1 \grep --line-buffered -iE 'ready\listening\healthy\started'`healthTimeout * 1000
Error watch`docker compose logs -f 2>&1 \grep --line-buffered -iE 'error\fatal\panic\exit'`healthTimeout * 1000

Use persistent: true if keepRunning is true and ongoing log monitoring is needed. Fallback: if Monitor is unavailable, use retry loop with sleep + curl health check.


Definition of Done

  • Docker environment verified
  • All images built successfully
  • All containers running
  • All health checks passing
  • Access URLs provided
  • Results returned to orchestrator

Reference Files

  • Parent: ../ln-780-bootstrap-verifier/SKILL.md

Version: 2.0.0 Last Updated: 2026-01-10

平台分布

Claude Code

29.53%
按下载量换算655

Gemini CLI

22.41%
按下载量换算497

Codex

19.96%
按下载量换算443

OpenCode

13.83%
按下载量换算307

Antigravity

8.18%
按下载量换算181

windsurf

3.18%
按下载量换算71

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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