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kernel-app-deployment内核应用程序部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

480

周安装

20

GitHub Stars

公开资料未说明

下载量

160
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:kernel-app-deployment(内核应用程序部署)
来源仓库:https://github.com/kernel/skills
仓库路径:skills/kernel-app-deployment
安装命令:
npx skills add kernel/skills --skill "kernel-app-deployment"
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add kernel/skills --skill "kernel-app-deployment"

简介

kernel-app-deployment 辅助云资源与基础设施的部署、容器管理及运维自动化。

  • 适合检查配置、整理部署流程、分析资源状态或生成故障排查方案。
  • 通过 npx skills add kernel/skills --skill "kernel-app-deployment" 从 GitHub 安装。
  • 需明确目标环境、账号权限和资源组,区分测试与生产操作,谨慎执行删除或网络变更。
  • 涉及关键操作时应先验证影响范围,避免误删或权限越界。

SKILL.md

App Deployment and Invocation

Deploy serverless apps to Kernel and invoke them with payloads.

When to Use This Skill

Use app-deployment when you need to:

  • Deploy serverless TypeScript or Python applications to Kernel
  • Invoke deployed actions with custom payloads
  • Monitor application logs in real-time
  • Run browser automation or data processing tasks at scale
  • Deploy apps with environment variables and secrets

Don't use this when:

  • You need one-off browser automation → Use browser-management directly

Prerequisites

Load the kernel-cli skill for Kernel CLI installation and authentication.

App Deployment Specific

  • Valid TypeScript (.ts) or Python (.py) entry file
  • package.json (JS/TS) or pyproject.toml (Python) must be present next to the entrypoint
  • Node.js/Bun or Python runtime (for local testing)

Deploy Apps

TypeScript

Command:

kernel deploy index.ts -o json

Note: Ensure package.json is present in the same directory as index.ts.

Python

Command:

kernel deploy main.py -o json

Note: Ensure pyproject.toml is present in the same directory as main.py.

With Environment Variables

Command:

# Inline env vars
kernel deploy index.ts --env API_KEY=secret --env DB_URL=postgres://... -o json

# From .env file
kernel deploy index.ts --env-file .env -o json

MCP Tool: Use kernel:get_deployment with deployment_id to check deployment status.

Invoke Apps

Basic Invocation

Command:

kernel invoke my-app scrape -o json

MCP Tool: Use kernel:invoke_action with app_name, action_name, and optional payload.

With Payload

Command:

# Inline JSON payload (max 4.5 MB)
kernel invoke my-app scrape --payload '{"url": "https://example.com"}' -o json

# From file
kernel invoke my-app scrape --payload-file payload.json -o json

Note: JSON payloads are limited to 4.5 MB maximum.

Synchronous Invocation

Command:

# Wait for completion (timeout after 60s)
kernel invoke my-app scrape --payload '{"url": "https://example.com"}' --sync -o json

Note:

  • Synchronous invocations timeout after 60 seconds
  • JSON payloads are limited to 4.5 MB maximum
  • Press Ctrl+C to cancel an in-flight invocation (associated browser sessions are cleaned up automatically)

View Logs

Command:

# Recent logs
kernel logs my-app

Follow logs (stream):

kernel logs my-app --follow

Expected Output: Real-time log stream (continues until Ctrl+C)

With filters:

# Logs from last hour with timestamps
kernel logs my-app --since 1h --with-timestamps

Note: Log lines longer than 64 KiB are truncated. For bulky payloads, emit them to external storage and log references instead.

Complete Workflow Example

End-to-end deployment and invocation:

# 1. Deploy app with environment variables
kernel deploy index.ts --env-file .env -o json
# Output: {"deployment_id": "dep_123", "app_name": "my-app", "status": "deployed"}

# 2. Invoke action synchronously
kernel invoke my-app scrape --payload '{"url": "https://example.com"}' --sync -o json
# Output: {"invocation_id": "inv_456", "status": "completed", "result": {...}}

# 3. Monitor logs in real-time
kernel logs my-app --follow
# Output: Live log stream...

Troubleshooting

Deployment Fails

Error: 401 Unauthorized

  • Solution: Run kernel login to re-authenticate

Error: file not found: index.ts

  • Solution: Ensure entry file exists and path is correct
  • Check: Run ls -la index.ts to verify file exists

Error: syntax error in index.ts

  • Solution: Fix TypeScript/Python syntax errors
  • Check: Run local linter or type checker first

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.08%
按下载量换算45

OpenCode

24.54%
按下载量换算39

Gemini CLI

18.9%
按下载量换算30

kode

14.06%
按下载量换算22

moltbot

8.65%
按下载量换算14

zencoder

3.39%
按下载量换算5

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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