A minimal multi-agent system with an orchestrator, a planner, a coder, and a designer working together providing orchestration between Claude, Codex and Gemini.
Install all agents listed below into VS Code Insiders...
| Title | Type | Description |
|---|
| # OpenClaw Implementation Prompts | |
| Each prompt below is a self-contained brief you can hand to an AI coding assistant (or use as a project spec) to build that use case from scratch. Adapt the specific services to whatever you already use — the patterns are what matter. | |
| --- | |
| ## 1) Personal CRM Intelligence | |
| ``` | |
| Build me a personal CRM system that automatically tracks everyone I interact with, with smart filtering so it only adds real people — not newsletters, bots, or cold outreach. |
| ## Workflow Orchestration | |
| ### 1. Plan Mode Default | |
| - Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions) | |
| - If something goes sideways, STOP and re-plan immediately | |
| - Don't keep pushing. | |
| - Use plan mode for verification steps, not just building | |
| - Write detailed specs upfront to reduce ambiguity | |
| ### 2. Subagent Strategy |
| #!/bin/sh | |
| # Note: ensure that iWork apps are quit before running | |
| # These defaults will make the update nag show up on next launch | |
| # | |
| defaults delete com.apple.iWork.Pages TMAApplicationUpdateNotifier.MigrationAlertToInstallLastShownTimeStamp | |
| defaults delete com.apple.iWork.Pages TMAApplicationUpdateNotifier.MigrationAlertToInstallCallCounter | |
| defaults delete com.apple.iWork.Keynote TMAApplicationUpdateNotifier.MigrationAlertToInstallLastShownTimeStamp |
| # ============================================ | |
| # Ghostty Terminal - Complete Configuration | |
| # ============================================ | |
| # File: ~/.config/ghostty/config | |
| # Reload: Cmd+Shift+, (macOS) | |
| # View options: ghostty +show-config --default --docs | |
| # --- Typography --- | |
| font-family = JetBrainsMonoNerdFont | |
| font-size = 14 |
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
$/
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