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OpenClaw: Extracted Prompts (Generalized)

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.

1. Personal CRM

name	codex-review
description	Send the current plan to OpenAI Codex CLI for iterative review. Claude and Codex go back-and-forth until Codex approves the plan.
user_invocable	true

Codex Plan Review (Iterative)

Send the current implementation plan to OpenAI Codex for review. Claude revises the plan based on Codex's feedback and re-submits until Codex approves. Max 5 rounds.

AI Coding Agent Guidelines (claude.md)

These rules define how an AI coding agent should plan, execute, verify, communicate, and recover when working in a real codebase. Optimize for correctness, minimalism, and developer experience.

Operating Principles (Non-Negotiable)

Correctness over cleverness: Prefer boring, readable solutions that are easy to maintain.
Smallest change that works: Minimize blast radius; don't refactor adjacent code unless it meaningfully reduces risk or complexity.

Using Claude Code with various AI providers

Create various settings file I have one file for each provider, all in ~/.claude

KIMI K2.5: kimi_settings.json

{
  "env": {
    "ANTHROPIC_BASE_URL": "https://api.moonshot.ai/anthropic",

OpenCode + Kimi For Coding (K2.5) Setup

1. Add credentials

opencode auth login
# Select "Kimi For Coding"
# Enter your API key (sk-kimi-...)

name	orchestrating-swarms
description	Master multi-agent orchestration using Claude Code's TeammateTool and Task system. Use when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns.

Claude Code Swarm Orchestration

Master multi-agent orchestration using Claude Code's TeammateTool and Task system.

OpenClaw on DigitalOcean

1. Create a Droplet

Ubuntu 24.04 LTS, nearest region

2. Select Premium AMD

2 GB RAM / 1 AMD CPU / 50 GB NVMe

3. SSH into server

Repo Setup

You are setting up this repository for agentic coding with Claude Code.

Step 0: Check Existing Setup & Context

First, check what's already configured in this repo:

ls -la CLAUDE.md .cursorrules 2&gt;/dev/null

	---
	name: codebase-review-question-audit
	description: Perform a deep structured review of the codebase, identify ambiguities, risks, and missing decisions, and generate a QUESTIONS.md file to clarify architecture, behavior, security, performance, and refactoring concerns before implementation.
	version: 1.0.0
	phase: discovery
	produces: QUESTIONS.md
	next: questions-md-resolution-implementation
	---

	# Codebase Review Question Audit

	## 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