Disassembling Claude Code: Prompt Templates for AI Agents
Repowise-dev recently published an open-source collection of prompt templates for building AI agents. This isn't just a random set of prompts - it's the result of reverse-engineering Claude Code's architecture.
What's Included
- System prompts: Base instructions for agent behavior
- Tool prompts: Instructions for tool usage and selection
- Agent delegation: Patterns for delegating tasks between agents
- Memory management: How agents maintain and use context
- Multi-agent coordination: Patterns for coordinating multiple agents ## Why This Matters Most AI agent implementations remain black boxes. You can use them, but understanding how they organize reasoning, tools, and memory internally is nearly impossible. Repowise-dev extracted these components from a working system and made them explicit. ## Practical Value For developers building agent systems, this provides:
- Reference architecture for agent design
- Ready-to-use prompt patterns
- Insight into how production agents handle memory and coordination You can adapt these components for your own projects or use them as a learning resource to understand agent architecture patterns. Repository: Repowise Claude Code Prompts
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