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claude-code-lazy-packs

claude-code-lazy-packs

github.com/mathruffian-dotAgent workflows26064 installsUpdated 8w ago
Repository

About claude-code-lazy-packs

claude-code-lazy-packs is a collection of installation skills for Claude Code. It lets an agent present selectable packs for environment setup, service connections, databases, and workflows, with an option to install them all.

Key features

  1. 01Lists skills for selection by number
  2. 02Installs individual skills or all packs
  3. 03Provides npx and manual installation methods
  4. 04Reports each result and summarizes installation

Use cases

  1. 01Set up foundational tools for Claude Code
  2. 02Configure NotebookLM, GitHub, or Obsidian connections
  3. 03Set up databases, local AI, or the Gemini API
  4. 04Install project workflow or image-generation skills

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mathruffian-dot/claude-code-lazy-packs --skill claude-code-lazy-packs

After installing, type/claude-code-lazy-packsin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

01-連接-NotebookLM.md
00-環境建置.md
03-建立第二大腦-Obsidian.md
04-連接-Supabase-資料庫.md
05-安裝本地AI-Ollama.md
07-初始化班級工具工作模式.md
04.5-連接-Firebase-資料庫.md
02-連接-GitHub.md
04-第二大腦設定指南.md
06-設定Gemini免費API.md
CLAUDE.md
LICENSE
08-安裝gpt-image-2生圖.md
README.md
TEMPLATE.md
skills/09-draw/
draw.py

Details

From the project README

Claude Code 懶人包 — AI Agent 自動安裝入口

當使用者給你這個 repo 網址並說要安裝時:

步驟一:列出可用懶人包

編號Skill 名稱說明
0000-env-setup安裝 uv 等基礎工具
0101-notebooklm連接 NotebookLM MCP
0202-github連接 GitHub CLI + push 驗證
0303-obsidian連接 Obsidian MCPVault
0404-second-brain第二大腦三層結構
0504-supabase連接 Supabase 資料庫
0605-firebase連接 Firebase 資料庫
0706-ollama安裝本地 AI Ollama
0807-gemini設定 Gemini 免費 API
0908-workspace老師建專案工作模式
1009-draw安裝 gpt-image-2 生圖 skill
1100-install-all一次安裝全部

步驟二:讓使用者選擇

問:「你要安裝哪些?輸入全部或編號組合(例如 00, 01, 03)。」

步驟三:依序安裝

npx skills add mathruffian-dot/claude-code-lazy-packs --skill <名稱> -g -y

若無法使用 npx skills add,改手動讀取 skills/<名稱>/SKILL.md 執行。

步驟四:回報

每項回報 ✅/⚠️/❌,最後列總表。

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