mathruffian-dot/opencode-lazy-packs
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OpenCode cheat sheet: Send an MD file to the agent, and it will follow it to complete the configuration
Overview
Just hand a copy of the MD file to OpenCode, and it will follow it and complete the setup for you. Writing to a teacher using AI Agents for the first time: Entirely in Traditional Chinese, no code needed, no need to swipe your card first. This repo only teaches one tool. No comparison, no recommendation for a second set, because the most expensive cost at the workshop site is 'selection.' 1. Read the SKILL.md of the Repo root directory (installation entry) 2. List the 11 packages of the main line for you to see 3. Ask what you want to install (you can reply with "All" or just the number) 4. Install the items you selected in order, and report the results after each package is finished 1. Watch the corresponding video first to understand what this package is about. 2. Open skills/ /SKILL.md and copy the entire file. 3. Open OpenCode and paste the content to it. 4. It will follow the instructions and stop to tell you where you need to take action Main line (#00~#10), numbered according to the 'work ladder'——。 Additionally, extras/ (not main line). ⚠️ —That's normal, it hasn't connected the model yet. You have to keep doing it before it starts working. This is the place where v1 gets stuck the most. - : The main thread of the three-day workshop is that v2 has been reverified or rewritten. - : Continuing v1 content, not rewritten, and not part of the training process. If needed, run it yourself. extras/ is not in the skills/ directory, so npx skills add may not be able to detect it. The safest way is to open the file, copy the entire copy, and paste it directly to your agent.
Overview (machine translated)
Send an MD file to OpenCode, and it will complete the setup for you. A letter to teachers using AI Agents for the first time: Entirely in Traditional Chinese, no need to write code, no need to swipe your card first.
This repo only teaches one tool: OpenCode. I don’t compare or recommend the second one, because the most expensive cost at the workshop site is ‘selection.’
📌 Version records must be CHANGELOG.md (each file will no longer indicate its own version).
How to use
Method 1: Directly Ask AI to Install It for You (Simplest)
Paste this passage to your AI agent:
AI will automatically:
- Read the root directory of the repo
SKILL.md(installation entry point) - List the main line 11 packs for you to see
- Ask what you want to install (you can reply with “all” or just the number).
- Install the selected items in order, and report the results after each package is complete
Method 2: Install yourself with a single command
is the folder name in the list below (for example, 00-env-setup).
Method 3: Manually paste MD files
- First, watch the corresponding video to understand what this package is about
- Open
skills/ /SKILL.mdand copy the entire copy - Open OpenCode and paste the content into it
- It will follow the instructions, and will stop to tell you where you need to take action
Summary List
Main storyline 11 packs (#00~#10), numbered according to the ‘work ladder’—numbers are the recommended learning sequence.
There is also extras/ bonus 2 packs (not main storyline).
Video channel: Third Master Sense Bar
| ID | Name (skill name) | Staircase | Corresponding video | Status | Description |
|---|---|---|---|---|---|
| 00 | Environment Setup 00-env-setup |
Foundation | AI Agent Basics EP01, EP02 | ✅ | Install OpenCode desktop edition/CLI, Git, GitHub CLI, Node.js, uv |
| 01 | Connect to Free Models 01-connect-model |
Foundation | AI Agent Basics EP01, EP02 OpenCode Basics EP06 | ✅ | Connect a free model with OpenCode Zen to truly enable conversation and hands-on activities |
| 02 | Internal Toolkit 02-file-toolkit |
Internal Tools | AI Agent Basics EP03 | ✅ | Python document processing (Word/Excel/PPT/PDF/QR) + yt-dlp/FFmpeg + Edge-TTS |
This page was translated automatically. Technical details may differ from the original.
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Install
npx skillfish add mathruffian-dot/opencode-lazy-packs