Generalized versions of all root .md files used by OpenClaw. These files are loaded into the agent's system prompt on every request (except MEMORY.md which is conditional).
Copy these as starting points and customize for your own setup. Replace <placeholders> with your values.
| # Put this in your ~/.gitconfig or ~/.config/git/config | |
| # Windows users: "~" is your profile's home directory, e.g. C:\Users\<YourName> | |
| [user] | |
| name = Your Full Name | |
| email = [email protected] | |
| [color] | |
| # Enable colors in color-supporting terminals | |
| ui = auto | |
| [alias] | |
| # List available aliases |
Companion prompts for the video: OpenClaw after 50 days: 20 real workflows (honest review)
These are the actual prompts I use for each use case shown in the video. Copy-paste them into your agent and adjust for your setup. Most will work as-is or the agent will ask you clarifying questions.
Each prompt describes the intent clearly enough that the agent can figure out the implementation details. You don't need to hand-hold it through every step.
My setup: OpenClaw running on a VPS, Discord as primary interface (separate channels per workflow), Obsidian for notes (markdown-first), Coolify for self-hosted services.
22 copy/paste-ready prompts for building your own AI agent system. Each prompt builds a functional system or implements a proven best practice you can hand to an AI coding assistant.
Replace placeholders like <your-workspace>, <your-messaging-platform>, and <your-model> with your own values.
A GitHub Actions workflow that uses Claude Opus (via AWS Bedrock) to automatically review pull requests with inline comments.
| #!/bin/sh | |
| # Remove the performance overlay, it meddles with some tasks | |
| unset LD_PRELOAD | |
| ## Shadow kwin_wayland_wrapper so that we can pass args to kwin wrapper | |
| ## whilst being launched by plasma-session | |
| mkdir $XDG_RUNTIME_DIR/nested_plasma -p | |
| cat <<EOF > $XDG_RUNTIME_DIR/nested_plasma/kwin_wayland_wrapper | |
| #!/bin/sh |
| ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; | |
| ;; | |
| ;; 作者: 李继刚 | |
| ;; 日期: 2025-11-12 | |
| ;; 剑名: 圆桌讨论 | |
| ;; 剑意: 构建一个以“求真”为目标的结构化对话框架。该框架由一位极具洞察力的主持人 | |
| ;; 进行引导，邀请代表不同思想的“典型代表人物”进行一场高强度的、即时响应式的 | |
| ;; 深度对话。主持人将在每轮总结时生成视觉化的思考框架(ASCII Chart)，通过 | |
| ;; “主动质询” 与“协同共建”，对用户提出的议题进行协同探索，最终生成深刻的、 | |
| ;; 结构化的知识网络。 |
1: Open Dev tools (Command + Option + J on Mac, Control + Shift + J on Windows).
2: Navigate to Sources tab.
3: Open Snippets.
4: Add a new snippet, give it a name (anything you want), copy the function from getTwitchChannelPoints.js
and paste it into the newly created snippet.
5: Run the snippet.
