Should I use config files or skills-based configuration for AI agents?
Instead of traditional config files, use a skills-based approach: write instructions that tell an AI agent how to modify actual code to add features. For example, "/add-telegram" as a skill that instructs the agent to integrate Telegram. This prevents config mess and if-then-else monsters. The meta: write maximally forkable repos and use skills to fork into any desired configuration.
When to use this
When building AI agent systems that need flexible, extensible configuration without accumulating config debt.
When to skip this
For simple applications where a straightforward config file is clearer and more maintainable.
Advanced