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Agent Skill · 研究检索

installing-apps-tools-and-services(安装应用程序工具和服务)

installing-apps-tools-and-services 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

installing-apps-tools-and-services 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 47,060。

总安装 751周安装 31GitHub Stars 公开资料未说明下载 246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:installing-apps-tools-and-services(安装应用程序工具和服务)
来源仓库:https://github.com/delorenj/skills
仓库路径:skills/installing-apps-tools-and-services
安装命令:
npx skills add delorenj/skills --skill "installing-apps-tools-and-services"
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 delorenj/skills --skill "installing-apps-tools-and-services"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

installing-apps-tools-and-services 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。适用于应用程序部署、服务配置和环境搭建等实际操作场景。

通过 npx skills add delorenj/skills --skill "installing-apps-tools-and-services" 安装,需检查仓库更新情况。使用前请确认是否包含命令行执行逻辑,防止意外修改生产环境。可参考原始 README 了解支持的安装类型和回滚机制。

来源仓库内路径:skills/installing-apps-tools-and-services

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 delorenj/skills --skill "installing-apps-tools-and-services";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

    它需要接触敏感数据,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

installing-apps-tools-and-services 怎么安装?

在终端执行 npx skills add delorenj/skills --skill "installing-apps-tools-and-services"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

installing-apps-tools-and-services 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。

installing-apps-tools-and-services 需要什么权限?

权限级别是接触敏感数据。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。

installing-apps-tools-and-services 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。

installing-apps-tools-and-services 用的人多吗?

公开数据是累计安装 751 次,近一周安装 31 次,下载 246 次。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。

installing-apps-tools-and-services 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
installing-apps-tools-and-services

安装应用程序工具和服务 · 本页

751—接触敏感数据MIT未收录

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

name
installing-apps-tools-and-services
description
Use this skill when installing applications, packages, tools, or services on the system. Handles Python (uv), Node/JS/TS (bun), Docker containers, and GitHub-sourced installations with mise-managed tools and ecosystem integration patterns.

Installing Apps and Packages

Comprehensive guide for installing applications, packages, and services following Jarad's ecosystem patterns and tool preferences.

When to Use This Skill

Trigger this skill when:

  • Installing Python applications or packages (CLI tools, libraries, services)
  • Installing Node.js/JavaScript/TypeScript applications or packages
  • Setting up containerized applications with Docker Compose
  • Cloning and installing GitHub-sourced projects
  • Integrating new tools into the existing ecosystem (proxy network, traefik, shared databases)
  • Configuring applications to work with mise-managed tooling
  • Setting up application secrets and environment variables

General Workflow

1. Gather Data on Install Target

Inspect Current Host:

# Check OS and architecture
uname -a
lsb_release -a
arch

# Check mise-managed tools
mise ls --current

# Check available databases/services
systemctl status postgresql redis neo4j qdrant

# Check Docker network
docker network ls | grep proxy

Key Information to Note:

  • OS: Ubuntu/Debian-based Linux
  • Architecture: x86_64
  • Package managers: uv (Python), bun (Node), mise (version management)
  • Native services: PostgreSQL, Redis
  • Docker network: proxy (system-wide Traefik network)
  • Domain conventions: *.delo.sh for services

2. Gather Data on Thing Being Installed

Use Official Channels:

  • Check main GitHub repository (README, installation docs)
  • Review official documentation site
  • Examine release notes and installation guides
  • Look for Docker Compose examples if applicable
  • Check for .env.example or configuration templates

Critical Questions:

  • What runtime does it require? (Python, Node, Rust, Go?)
  • Is it a CLI tool, library, or service?
  • Does it need a database? (Can we use native Postgres/Redis?)
  • Does it expose HTTP endpoints? (Needs Traefik integration?)
  • What secrets/API keys does it need? (Check ~/.config/zshyzsh/secrets.zsh)

3. Determine Installation Method

Decision Tree:

Is it available in the mise registry?
├─ Yes? → mise install <package> #easy peasy done!

Is it Python-based?
├─ CLI tool → uv tool install
├─ Library → uv pip install -g
└─ Service → Docker or uv pip install -g

Is it Node/JS/TS-based?
├─ CLI tool → bun install -g or bunx (one-offs)
├─ Library → bun add
└─ Service → Docker or native bun

Is it containerized?
└─ Follow Docker/Containerized Workflow

Is it from GitHub?
└─ Clone to ~/code and apply appropriate install method

Python Applications

Core Principles

ALWAYS use uv as the package tool

  • Prefer global installs over venv
  • Use mise-managed uv and python
  • End goal: invoke as someApp, not uv run someApp
  • Preferred bin path: ~/.local/bin

Installation Patterns

CLI Tools:

# Use uv tool install for CLI tools
uv tool install <package-name>

# Verify installation
which <tool-name>
<tool-name> --version

Example - Installing ruff:

# Install globally as CLI tool
uv tool install ruff

# Verify
ruff --version

Libraries/Packages:

# Use uv sync first if pyproject allows
uv sync

# Use global install instead of pip install
uv pip install -g <package-name>

# If docs say "pip install -r requirements.txt", translate to:
uv pip install -r requirements.txt

Services (Python-based):

For services like FastAPI apps, Agno agents, etc.:

# Clone to ~/code if from GitHub
cd ~/code
gh repo clone <repo-url>
cd <project-name>

# Install dependencies globally or in project
uv sync

# Or use project-specific environment
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt

Tool Replacements

Replace these commands:

  • pip install → uv pip install -g
  • pipx install → uv tool install
  • python -m venv → uv venv (if venv needed)

Mise Integration

Ensure mise manages Python and uv:

# Check current versions
mise ls --current

# Install/update if needed
mise use python@latest uv@latest -g

# Verify
which python
which uv

# Explicitly invoke
mise x -- uv --version
mise x  [email protected]  -- python --version

Node/JavaScript/TypeScript Applications

Core Principles

Prefer bun over npm

  • Use mise-managed bun/nodejs
  • Use globally installed tools
  • Use latest bun/nodejs versions
  • OK to use npx or bunx for one-off commands

Installation Patterns

CLI Tools:

# Global installation with bun
bun install -g <package-name>

# Verify
which <tool-name>
<tool-name> --version

Example - Installing typescript:

# Install globally
bun install -g typescript

# Verify
tsc --version

One-off Commands:

# Use bunx for one-time executions
bunx create-react-app my-app
bunx prettier --write .

Project Dependencies:

# For project-specific packages
cd ~/code/<project-name>
bun install
bun add <package-name>

Mise Integration

Ensure mise manages bun/node:

# Install/update globally
mise use bun@latest -g
mise use node@latest -g

# Verify
which bun
which node
bun --version
node --version

GitHub-Sourced Installations

Core Principle

Always clone into ~/code

Workflow

# 1. Clone to standard location
cd ~/code
git clone <repo-url>
cd <project-name>

# 2. Initialize with iMi (optional, if it's a project you'll develop)
imi init

# 3. Apply appropriate installation method based on type
# - Python: uv pip install -g -r requirements.txt
# - Node: bun install
# - Rust: cargo install --path .
# - Go: go install

Example - Installing a Python CLI from GitHub:

cd ~/code
git clone https://github.com/user/awesome-tool
cd awesome-tool

# Install as tool
uv tool install .

# Or if it has requirements
uv pip install -g -r requirements.txt
uv pip install -g .

Docker/Containerized Installations

Core Principles

Ecosystem Integration:

  1. Modify compose files to fit Docker container ecosystem
  2. Avoid common port conflicts (3000, 8080, etc.)
  3. Use system-wide proxy network for Traefik integration
  4. Connect to native services (Postgres, Redis, Neo4j, Qdrant)
  5. Use simple, common-sense subdomains (\*.delo.sh)

Workflow

1. Examine and Modify Compose File

Critical Modifications:

# docker-compose.yml

services:
  app:
    image: awesome-app:latest
    container_name: awesome-app # Simple slug, no numbers/postfixes
    restart: unless-stopped
    networks:
      - proxy # System-wide network
    environment:
      # Use native databases
      - DATABASE_URL=postgresql://user: [email protected] :5432/dbname
      - REDIS_URL=redis://host.docker.internal:6379
      - QDRANT_URL=http://host.docker.internal:6333
    labels:
      # Traefik configuration
      - "traefik.enable=true"
      - "traefik.http.routers.awesome-app.rule=Host(`awesome.delo.sh`)"
      - "traefik.http.routers.awesome-app.entrypoints=websecure"
      - "traefik.http.routers.awesome-app.tls.certresolver=letsencrypt"
      - "traefik.http.services.awesome-app.loadbalancer.server.port=8000"

networks:
  proxy:
    external: true

Port Management:

  • Avoid exposing ports directly unless necessary
  • Use Traefik labels for HTTP/HTTPS access
  • If port exposure needed, choose random non-privileged port (e.g., 8473, 9234)
  • Never use common ports: 3000, 8000, 8080, 5000, etc.

Database Integration:

# DON'T add separate database services
services:
  postgres:  # ❌ Don't do this
    image: postgres:16
    ...

# DO connect to native instances
environment:
  # ✅ Use host.docker.internal
  - DATABASE_URL=postgresql://user: [email protected] :5432/dbname
  - REDIS_URL=redis://host.docker.internal:6379
2. Create .env File

Resolve Secrets:

  1. Check provided .env.example or README
  2. Cross-reference with system secrets: ~/.config/zshyzsh/secrets.zsh
  3. Generate new secrets if needed (API keys, passwords, etc.)
# Example .env file
DATABASE_URL=postgresql://delorenj:${POSTGRES_PASSWORD}@host.docker.internal:5432/awesome_app
REDIS_URL=redis://host.docker.internal:6379
SECRET_KEY=${AWESOME_APP_SECRET_KEY}  # From secrets.zsh
API_KEY=${OPENAI_API_KEY}  # From secrets.zsh

Common Secret Locations:

  • OpenAI: $OPENAI_API_KEY
  • Anthropic: $ANTHROPIC_API_KEY
  • GitHub: $GITHUB_TOKEN
  • Database: $POSTGRES_PASSWORD
3. Build and Deploy
# Production build preferred
docker compose build --no-cache

# Deploy with proper restart policy
docker compose up -d

# Verify
docker compose ps
docker compose logs -f

Container Naming:

  • Use simple slugs: awesome-app, not awesome-app-1 or awesome-app_container
  • Set container_name explicitly in compose file
  • Restart policy: unless-stopped is usually sufficient

Lock Down Configuration:

For production deployments, create custom image and push to Docker Hub:

# Build custom image
docker build -t delorenj/awesome-app:latest .

# Push to Docker Hub
docker push delorenj/awesome-app:latest

# Update compose to use locked image
services:
  app:
    image: delorenj/awesome-app:latest

Traefik Integration Patterns

Basic HTTP Service:

labels:
  - "traefik.enable=true"
  - "traefik.http.routers.app.rule=Host(`app.delo.sh`)"
  - "traefik.http.routers.app.entrypoints=websecure"
  - "traefik.http.routers.app.tls.certresolver=letsencrypt"

Service with Path Prefix:

labels:
  - "traefik.enable=true"
  - "traefik.http.routers.app.rule=Host(`delo.sh`) && PathPrefix(`/app`)"
  - "traefik.http.middlewares.app-strip.stripprefix.prefixes=/app"
  - "traefik.http.routers.app.middlewares=app-strip"

WebSocket Support:

labels:
  - "traefik.http.routers.app.rule=Host(`ws.delo.sh`)"
  - "traefik.http.services.app.loadbalancer.server.port=8080"

Database Setup

Create Database (if needed):

# Connect to native Postgres
psql -U delorenj -d postgres

# Create database
CREATE DATABASE awesome_app;

# Create user if needed
CREATE USER awesome_app WITH PASSWORD 'secure_password';
GRANT ALL PRIVILEGES ON DATABASE awesome_app TO awesome_app;

Initialize Schema:

# If app has migrations
docker compose exec app python manage.py migrate

# Or run SQL files
psql -U delorenj -d awesome_app -f schema.sql

Post-Installation Verification

Check Tool Availability

# For CLI tools
which <tool-name>
<tool-name> --version

# For Python packages
python -c "import <package>"

# For Node packages
node -e "require('<package>')"

# For Docker services
docker compose ps
curl http://localhost:<port>/health
curl https://app.delo.sh/health

Verify Mise Integration

# List all mise-managed tools
mise ls --current

# Verify PATH includes mise bins
echo $PATH | grep mise

Verify Service Integration

# Test database connection
psql -U delorenj -d awesome_app -c "SELECT 1"

# Test Redis connection
redis-cli ping

# Test Traefik routing
curl -I https://app.delo.sh

Common Patterns

Pattern: Installing Python MCP Server

# 1. Clone to ~/code
cd ~/code
git clone https://github.com/user/mcp-server
cd mcp-server

# 2. Install globally
uv pip install -g .

# 3. Verify
which mcp-server
mcp-server --version

# 4. Configure in Claude Code
# Add to claude_desktop_config.json

Pattern: Installing Node CLI Tool

# 1. Install globally with bun
bun install -g awesome-cli

# 2. Verify
which awesome-cli
awesome-cli --version

# 3. Add to mise if version pinning needed
mise use awesome-cli@latest -g

Pattern: Docker Service with Native Database

# 1. Create project structure
cd ~/docker/trunk-main/stacks/ai
mkdir awesome-service
cd awesome-service

# 2. Create compose file
cat > docker-compose.yml << 'EOF'
services:
  awesome:
    image: awesome/service:latest
    container_name: awesome-service
    restart: unless-stopped
    networks:
      - proxy
    environment:
      - DATABASE_URL=postgresql://delorenj:${POSTGRES_PASSWORD}@host.docker.internal:5432/awesome
    labels:
      - "traefik.enable=true"
      - "traefik.http.routers.awesome.rule=Host(`awesome.delo.sh`)"
      - "traefik.http.routers.awesome.entrypoints=websecure"
      - "traefik.http.routers.awesome.tls.certresolver=letsencrypt"

networks:
  proxy:
    external: true
EOF

# 3. Create .env from secrets
cat > .env << 'EOF'
POSTGRES_PASSWORD=<from secrets.zsh>
OPENAI_API_KEY=<from secrets.zsh>
EOF

# 4. Create database
psql -U delorenj -d postgres -c "CREATE DATABASE awesome"

# 5. Deploy
docker compose up -d

# 6. Verify
docker compose logs -f
curl https://awesome.delo.sh/health

Troubleshooting

Tool Not Found After Installation

# Check if installed
uv tool list
bun pm ls -g

# Check PATH
echo $PATH | grep -E '(\.local/bin|mise)'

# Verify mise activation
mise doctor

# Reinstall if needed
uv tool uninstall <tool>
uv tool install <tool>

Docker Service Won't Start

# Check logs
docker compose logs

# Verify network exists
docker network ls | grep proxy

# Test database connectivity
docker compose exec app psql $DATABASE_URL -c "SELECT 1"

# Check port conflicts
ss -tulpn | grep :<port>

Traefik Routing Issues

# Check Traefik dashboard
# (Access via configured dashboard URL)

# Verify labels are applied
docker inspect <container> | grep traefik

# Test DNS resolution
nslookup app.delo.sh

# Check certificate
curl -I https://app.delo.sh

Quick Reference

Installation Commands by Type

TypeInstall CommandExample
Python CLIuv tool install <pkg>uv tool install ruff
Python libuv pip install -g <pkg>uv pip install -g requests
Node CLIbun install -g <pkg>bun install -g typescript
Node one-offbunx <cmd>bunx prettier --write .
GitHub repocd ~/code && git clone <url>Clone then apply above
Docker servicedocker compose up -dWith ecosystem mods

Key File Locations

  • Secrets: ~/.config/zshyzsh/secrets.zsh
  • Docker stacks: ~/docker/trunk-main/stacks/
  • Code repos: ~/code/
  • Mise config: ~/.config/mise/config.toml
  • Local bins: ~/.local/bin/

Essential Checks

# Before installing
mise ls --current
which python uv bun node
docker network ls | grep proxy

# After installing
which <tool>
<tool> --version
mise doctor

# For Docker services
docker compose ps
docker compose logs
curl https://app.delo.sh/health

Resources

references/

  • docker-compose-patterns.md - Common Docker Compose configurations
  • traefik-labels-reference.md - Traefik label patterns
  • native-service-connection.md - Connecting to native Postgres/Redis/Qdrant

scripts/

  • install-python-cli.sh - Template for Python CLI installation
  • install-node-cli.sh - Template for Node CLI installation
  • setup-docker-service.sh - Template for Docker service setup

assets/

  • docker-compose.template.yml - Standard compose file template
  • .env.template - Standard .env template
  • traefik-labels.yml - Common Traefik label configurations

See Also

  • ecosystem-patterns skill - Overall ecosystem architecture and conventions
  • mise-task-managing skill - Managing mise tasks and tool versions
  • Docker Compose patterns in ecosystem-patterns/references/

平台分布

Claude Code

28.62%
按下载量换算70

windsurf

23.37%
按下载量换算57

OpenCode

19.11%
按下载量换算47

Codex

12.99%
按下载量换算32

Antigravity

8.92%
按下载量换算22

Gemini CLI

4%
按下载量换算10

安全审计

暂无安全审计结果可展示。

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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