Give your agentic processes a name (simonhartcher.com)

A new strategy for enhancing interaction with large language models (LLMs) has emerged, focusing on the importance of naming agentic processes within Claude Code. Users have observed that assigning a specific name to a process improves the model’s adherence to user instructions and reduces instances of misalignment. This technique is akin to calling a function in programming, creating clarity and consistency in the model's behavior. Examples shared include "Test-Driven Pair Programming" (TDPP), which allows users to engage actively in the coding process while the model manages the testing phases, and "Beads Superpowers," which streamlines issue tracking by integrating various skills. This naming convention is significant for the AI/ML community as it can enhance the usability of AI systems, making them more responsive and reliable for developers. By transforming long processes into distinct "Skills," users can optimize their workflows and improve the synergy between different tools and capabilities within the AI framework. The approach not only encourages better collaboration with AI but also highlights the potential for user-defined adaptations to enhance agent performance in complex tasks. The author invites feedback and shared experiences from the community, fostering a collaborative dialogue on effective agentic processes.